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Collections: |
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- Name: DeepLabV3+ |
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License: Apache License 2.0 |
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Metadata: |
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Training Data: |
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- Cityscapes |
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- ADE20K |
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- Pascal VOC 2012 + Aug |
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- Pascal Context |
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- Pascal Context 59 |
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- LoveDA |
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- Potsdam |
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- Vaihingen |
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- iSAID |
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- Mapillary Vistas v1.2 |
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Paper: |
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Title: Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation |
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URL: https://arxiv.org/abs/1802.02611 |
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README: configs/deeplabv3plus/README.md |
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Frameworks: |
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- PyTorch |
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Models: |
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- Name: deeplabv3plus_r50-d8_4xb2-40k_cityscapes-512x1024 |
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In Collection: DeepLabV3+ |
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Results: |
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Task: Semantic Segmentation |
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Dataset: Cityscapes |
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Metrics: |
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mIoU: 79.61 |
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mIoU(ms+flip): 81.01 |
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Config: configs/deeplabv3plus/deeplabv3plus_r50-d8_4xb2-40k_cityscapes-512x1024.py |
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Metadata: |
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Training Data: Cityscapes |
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Batch Size: 8 |
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Architecture: |
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- R-50-D8 |
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- DeepLabV3+ |
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Training Resources: 4x V100 GPUS |
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Memory (GB): 7.5 |
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Weights: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r50-d8_512x1024_40k_cityscapes/deeplabv3plus_r50-d8_512x1024_40k_cityscapes_20200605_094610-d222ffcd.pth |
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Training log: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r50-d8_512x1024_40k_cityscapes/deeplabv3plus_r50-d8_512x1024_40k_cityscapes_20200605_094610.log.json |
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Paper: |
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Title: Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation |
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URL: https://arxiv.org/abs/1802.02611 |
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Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/sep_aspp_head.py#L30 |
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Framework: PyTorch |
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- Name: deeplabv3plus_r101-d8_4xb2-40k_cityscapes-512x1024 |
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In Collection: DeepLabV3+ |
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Results: |
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Task: Semantic Segmentation |
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Dataset: Cityscapes |
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Metrics: |
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mIoU: 80.21 |
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mIoU(ms+flip): 81.82 |
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Config: configs/deeplabv3plus/deeplabv3plus_r101-d8_4xb2-40k_cityscapes-512x1024.py |
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Metadata: |
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Training Data: Cityscapes |
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Batch Size: 8 |
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Architecture: |
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- R-101-D8 |
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- DeepLabV3+ |
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Training Resources: 4x V100 GPUS |
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Memory (GB): 11.0 |
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Weights: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r101-d8_512x1024_40k_cityscapes/deeplabv3plus_r101-d8_512x1024_40k_cityscapes_20200605_094614-3769eecf.pth |
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Training log: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r101-d8_512x1024_40k_cityscapes/deeplabv3plus_r101-d8_512x1024_40k_cityscapes_20200605_094614.log.json |
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Paper: |
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Title: Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation |
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URL: https://arxiv.org/abs/1802.02611 |
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Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/sep_aspp_head.py#L30 |
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Framework: PyTorch |
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- Name: deeplabv3plus_r50-d8_4xb2-40k_cityscapes-769x769 |
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In Collection: DeepLabV3+ |
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Results: |
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Task: Semantic Segmentation |
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Dataset: Cityscapes |
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Metrics: |
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mIoU: 78.97 |
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mIoU(ms+flip): 80.46 |
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Config: configs/deeplabv3plus/deeplabv3plus_r50-d8_4xb2-40k_cityscapes-769x769.py |
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Metadata: |
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Training Data: Cityscapes |
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Batch Size: 8 |
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Architecture: |
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- R-50-D8 |
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- DeepLabV3+ |
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Training Resources: 4x V100 GPUS |
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Memory (GB): 8.5 |
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Weights: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r50-d8_769x769_40k_cityscapes/deeplabv3plus_r50-d8_769x769_40k_cityscapes_20200606_114143-1dcb0e3c.pth |
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Training log: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r50-d8_769x769_40k_cityscapes/deeplabv3plus_r50-d8_769x769_40k_cityscapes_20200606_114143.log.json |
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Paper: |
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Title: Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation |
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URL: https://arxiv.org/abs/1802.02611 |
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Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/sep_aspp_head.py#L30 |
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Framework: PyTorch |
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- Name: deeplabv3plus_r101-d8_4xb2-40k_cityscapes-769x769 |
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In Collection: DeepLabV3+ |
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Results: |
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Task: Semantic Segmentation |
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Dataset: Cityscapes |
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Metrics: |
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mIoU: 79.46 |
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mIoU(ms+flip): 80.5 |
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Config: configs/deeplabv3plus/deeplabv3plus_r101-d8_4xb2-40k_cityscapes-769x769.py |
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Metadata: |
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Training Data: Cityscapes |
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Batch Size: 8 |
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Architecture: |
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- R-101-D8 |
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- DeepLabV3+ |
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Training Resources: 4x V100 GPUS |
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Memory (GB): 12.5 |
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Weights: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r101-d8_769x769_40k_cityscapes/deeplabv3plus_r101-d8_769x769_40k_cityscapes_20200606_114304-ff414b9e.pth |
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Training log: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r101-d8_769x769_40k_cityscapes/deeplabv3plus_r101-d8_769x769_40k_cityscapes_20200606_114304.log.json |
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Paper: |
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Title: Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation |
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URL: https://arxiv.org/abs/1802.02611 |
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Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/sep_aspp_head.py#L30 |
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Framework: PyTorch |
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- Name: deeplabv3plus_r18-d8_4xb2-80k_cityscapes-512x1024 |
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In Collection: DeepLabV3+ |
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Results: |
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Task: Semantic Segmentation |
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Dataset: Cityscapes |
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Metrics: |
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mIoU: 76.89 |
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mIoU(ms+flip): 78.76 |
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Config: configs/deeplabv3plus/deeplabv3plus_r18-d8_4xb2-80k_cityscapes-512x1024.py |
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Metadata: |
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Training Data: Cityscapes |
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Batch Size: 8 |
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Architecture: |
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- R-18-D8 |
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- DeepLabV3+ |
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Training Resources: 4x V100 GPUS |
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Memory (GB): 2.2 |
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Weights: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r18-d8_512x1024_80k_cityscapes/deeplabv3plus_r18-d8_512x1024_80k_cityscapes_20201226_080942-cff257fe.pth |
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Training log: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r18-d8_512x1024_80k_cityscapes/deeplabv3plus_r18-d8_512x1024_80k_cityscapes-20201226_080942.log.json |
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Paper: |
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Title: Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation |
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URL: https://arxiv.org/abs/1802.02611 |
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Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/sep_aspp_head.py#L30 |
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Framework: PyTorch |
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- Name: deeplabv3plus_r50-d8_4xb2-80k_cityscapes-512x1024 |
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In Collection: DeepLabV3+ |
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Results: |
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Task: Semantic Segmentation |
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Dataset: Cityscapes |
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Metrics: |
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mIoU: 80.09 |
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mIoU(ms+flip): 81.13 |
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Config: configs/deeplabv3plus/deeplabv3plus_r50-d8_4xb2-80k_cityscapes-512x1024.py |
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Metadata: |
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Training Data: Cityscapes |
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Batch Size: 8 |
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Architecture: |
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- R-50-D8 |
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- DeepLabV3+ |
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Training Resources: 4x V100 GPUS |
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Weights: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r50-d8_512x1024_80k_cityscapes/deeplabv3plus_r50-d8_512x1024_80k_cityscapes_20200606_114049-f9fb496d.pth |
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Training log: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r50-d8_512x1024_80k_cityscapes/deeplabv3plus_r50-d8_512x1024_80k_cityscapes_20200606_114049.log.json |
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Paper: |
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Title: Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation |
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URL: https://arxiv.org/abs/1802.02611 |
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Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/sep_aspp_head.py#L30 |
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Framework: PyTorch |
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- Name: deeplabv3plus_r101-d8_4xb2-80k_cityscapes-512x1024 |
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In Collection: DeepLabV3+ |
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Results: |
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Task: Semantic Segmentation |
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Dataset: Cityscapes |
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Metrics: |
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mIoU: 80.97 |
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mIoU(ms+flip): 82.03 |
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Config: configs/deeplabv3plus/deeplabv3plus_r101-d8_4xb2-80k_cityscapes-512x1024.py |
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Metadata: |
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Training Data: Cityscapes |
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Batch Size: 8 |
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Architecture: |
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- R-101-D8 |
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- DeepLabV3+ |
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Training Resources: 4x V100 GPUS |
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Weights: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r101-d8_512x1024_80k_cityscapes/deeplabv3plus_r101-d8_512x1024_80k_cityscapes_20200606_114143-068fcfe9.pth |
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Training log: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r101-d8_512x1024_80k_cityscapes/deeplabv3plus_r101-d8_512x1024_80k_cityscapes_20200606_114143.log.json |
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Paper: |
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Title: Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation |
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URL: https://arxiv.org/abs/1802.02611 |
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Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/sep_aspp_head.py#L30 |
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Framework: PyTorch |
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- Name: deeplabv3plus_r101-d8_4xb2-amp-80k_cityscapes-512x1024 |
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In Collection: DeepLabV3+ |
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Results: |
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Task: Semantic Segmentation |
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Dataset: Cityscapes |
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Metrics: |
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mIoU: 80.46 |
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Config: configs/deeplabv3plus/deeplabv3plus_r101-d8_4xb2-amp-80k_cityscapes-512x1024.py |
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Metadata: |
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Training Data: Cityscapes |
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Batch Size: 8 |
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Architecture: |
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- R-101-D8 |
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- DeepLabV3+ |
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- (FP16) |
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Training Resources: 4x V100 GPUS |
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Memory (GB): 6.35 |
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Weights: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r101-d8_fp16_512x1024_80k_cityscapes/deeplabv3plus_r101-d8_fp16_512x1024_80k_cityscapes_20200717_230920-f1104f4b.pth |
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Training log: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r101-d8_fp16_512x1024_80k_cityscapes/deeplabv3plus_r101-d8_fp16_512x1024_80k_cityscapes_20200717_230920.log.json |
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Paper: |
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Title: Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation |
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URL: https://arxiv.org/abs/1802.02611 |
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Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/sep_aspp_head.py#L30 |
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Framework: PyTorch |
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- Name: deeplabv3plus_r18-d8_4xb2-80k_cityscapes-769x769 |
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In Collection: DeepLabV3+ |
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Results: |
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Task: Semantic Segmentation |
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Dataset: Cityscapes |
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Metrics: |
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mIoU: 76.26 |
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mIoU(ms+flip): 77.91 |
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Config: configs/deeplabv3plus/deeplabv3plus_r18-d8_4xb2-80k_cityscapes-769x769.py |
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Metadata: |
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Training Data: Cityscapes |
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Batch Size: 8 |
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Architecture: |
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- R-18-D8 |
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- DeepLabV3+ |
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Training Resources: 4x V100 GPUS |
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Memory (GB): 2.5 |
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Weights: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r18-d8_769x769_80k_cityscapes/deeplabv3plus_r18-d8_769x769_80k_cityscapes_20201226_083346-f326e06a.pth |
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Training log: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r18-d8_769x769_80k_cityscapes/deeplabv3plus_r18-d8_769x769_80k_cityscapes-20201226_083346.log.json |
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Paper: |
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Title: Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation |
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URL: https://arxiv.org/abs/1802.02611 |
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Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/sep_aspp_head.py#L30 |
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Framework: PyTorch |
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- Name: deeplabv3plus_r50-d8_4xb2-80k_cityscapes-769x769 |
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In Collection: DeepLabV3+ |
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Results: |
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Task: Semantic Segmentation |
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Dataset: Cityscapes |
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Metrics: |
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mIoU: 79.83 |
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mIoU(ms+flip): 81.48 |
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Config: configs/deeplabv3plus/deeplabv3plus_r50-d8_4xb2-80k_cityscapes-769x769.py |
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Metadata: |
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Training Data: Cityscapes |
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Batch Size: 8 |
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Architecture: |
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- R-50-D8 |
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- DeepLabV3+ |
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Training Resources: 4x V100 GPUS |
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Weights: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r50-d8_769x769_80k_cityscapes/deeplabv3plus_r50-d8_769x769_80k_cityscapes_20200606_210233-0e9dfdc4.pth |
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Training log: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r50-d8_769x769_80k_cityscapes/deeplabv3plus_r50-d8_769x769_80k_cityscapes_20200606_210233.log.json |
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Paper: |
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Title: Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation |
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URL: https://arxiv.org/abs/1802.02611 |
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Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/sep_aspp_head.py#L30 |
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Framework: PyTorch |
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- Name: deeplabv3plus_r101-d8_4xb2-80k_cityscapes-769x769 |
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In Collection: DeepLabV3+ |
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Results: |
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Task: Semantic Segmentation |
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Dataset: Cityscapes |
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Metrics: |
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mIoU: 80.65 |
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mIoU(ms+flip): 81.47 |
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Config: configs/deeplabv3plus/deeplabv3plus_r101-d8_4xb2-80k_cityscapes-769x769.py |
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Metadata: |
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Training Data: Cityscapes |
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Batch Size: 8 |
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Architecture: |
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- R-101-D8 |
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- DeepLabV3+ |
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Training Resources: 4x V100 GPUS |
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Weights: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r101-d8_769x769_80k_cityscapes/deeplabv3plus_r101-d8_769x769_80k_cityscapes_20220406_154720-dfcc0b68.pth |
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Training log: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r101-d8_769x769_80k_cityscapes/deeplabv3plus_r101-d8_769x769_80k_cityscapes_20220406_154720.log.json |
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Paper: |
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Title: Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation |
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URL: https://arxiv.org/abs/1802.02611 |
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Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/sep_aspp_head.py#L30 |
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Framework: PyTorch |
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- Name: ddeeplabv3plus_r101-d16-mg124_4xb2-40k_cityscapes-512x1024 |
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In Collection: DeepLabV3+ |
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Results: |
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Task: Semantic Segmentation |
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Dataset: Cityscapes |
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Metrics: |
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mIoU: 79.09 |
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mIoU(ms+flip): 80.36 |
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Config: configs/deeplabv3plus/ddeeplabv3plus_r101-d16-mg124_4xb2-40k_cityscapes-512x1024.py |
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Metadata: |
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Training Data: Cityscapes |
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Batch Size: 8 |
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Architecture: |
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- R-101-D16-MG124 |
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- DeepLabV3+ |
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Training Resources: 4x V100 GPUS |
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Memory (GB): 5.8 |
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Weights: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r101-d16-mg124_512x1024_40k_cityscapes/deeplabv3plus_r101-d16-mg124_512x1024_40k_cityscapes_20200908_005644-cf9ce186.pth |
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Training log: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r101-d16-mg124_512x1024_40k_cityscapes/deeplabv3plus_r101-d16-mg124_512x1024_40k_cityscapes-20200908_005644.log.json |
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Paper: |
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Title: Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation |
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URL: https://arxiv.org/abs/1802.02611 |
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Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/sep_aspp_head.py#L30 |
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Framework: PyTorch |
|
- Name: deeplabv3plus_r101-d16-mg124_4xb2-80k_cityscapes-512x1024 |
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In Collection: DeepLabV3+ |
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Results: |
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Task: Semantic Segmentation |
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Dataset: Cityscapes |
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Metrics: |
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mIoU: 79.9 |
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mIoU(ms+flip): 81.33 |
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Config: configs/deeplabv3plus/deeplabv3plus_r101-d16-mg124_4xb2-80k_cityscapes-512x1024.py |
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Metadata: |
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Training Data: Cityscapes |
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Batch Size: 8 |
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Architecture: |
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- R-101-D16-MG124 |
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- DeepLabV3+ |
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Training Resources: 4x V100 GPUS |
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Memory (GB): 9.9 |
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Weights: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r101-d16-mg124_512x1024_80k_cityscapes/deeplabv3plus_r101-d16-mg124_512x1024_80k_cityscapes_20200908_005644-ee6158e0.pth |
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Training log: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r101-d16-mg124_512x1024_80k_cityscapes/deeplabv3plus_r101-d16-mg124_512x1024_80k_cityscapes-20200908_005644.log.json |
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Paper: |
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Title: Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation |
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URL: https://arxiv.org/abs/1802.02611 |
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Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/sep_aspp_head.py#L30 |
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Framework: PyTorch |
|
- Name: deeplabv3plus_r18b-d8_4xb2-80k_cityscapes-512x1024 |
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In Collection: DeepLabV3+ |
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Results: |
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Task: Semantic Segmentation |
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Dataset: Cityscapes |
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Metrics: |
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mIoU: 75.87 |
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mIoU(ms+flip): 77.52 |
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Config: configs/deeplabv3plus/deeplabv3plus_r18b-d8_4xb2-80k_cityscapes-512x1024.py |
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Metadata: |
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Training Data: Cityscapes |
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Batch Size: 8 |
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Architecture: |
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- R-18b-D8 |
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- DeepLabV3+ |
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Training Resources: 4x V100 GPUS |
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Memory (GB): 2.1 |
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Weights: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r18b-d8_512x1024_80k_cityscapes/deeplabv3plus_r18b-d8_512x1024_80k_cityscapes_20201226_090828-e451abd9.pth |
|
Training log: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r18b-d8_512x1024_80k_cityscapes/deeplabv3plus_r18b-d8_512x1024_80k_cityscapes-20201226_090828.log.json |
|
Paper: |
|
Title: Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation |
|
URL: https://arxiv.org/abs/1802.02611 |
|
Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/sep_aspp_head.py#L30 |
|
Framework: PyTorch |
|
- Name: deeplabv3plus_r50b-d8_4xb2-80k_cityscapes-512x1024 |
|
In Collection: DeepLabV3+ |
|
Results: |
|
Task: Semantic Segmentation |
|
Dataset: Cityscapes |
|
Metrics: |
|
mIoU: 80.28 |
|
mIoU(ms+flip): 81.44 |
|
Config: configs/deeplabv3plus/deeplabv3plus_r50b-d8_4xb2-80k_cityscapes-512x1024.py |
|
Metadata: |
|
Training Data: Cityscapes |
|
Batch Size: 8 |
|
Architecture: |
|
- R-50b-D8 |
|
- DeepLabV3+ |
|
Training Resources: 4x V100 GPUS |
|
Memory (GB): 7.4 |
|
Weights: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r50b-d8_512x1024_80k_cityscapes/deeplabv3plus_r50b-d8_512x1024_80k_cityscapes_20201225_213645-a97e4e43.pth |
|
Training log: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r50b-d8_512x1024_80k_cityscapes/deeplabv3plus_r50b-d8_512x1024_80k_cityscapes-20201225_213645.log.json |
|
Paper: |
|
Title: Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation |
|
URL: https://arxiv.org/abs/1802.02611 |
|
Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/sep_aspp_head.py#L30 |
|
Framework: PyTorch |
|
- Name: deeplabv3plus_r101b-d8_4xb2-80k_cityscapes-512x1024 |
|
In Collection: DeepLabV3+ |
|
Results: |
|
Task: Semantic Segmentation |
|
Dataset: Cityscapes |
|
Metrics: |
|
mIoU: 80.16 |
|
mIoU(ms+flip): 81.41 |
|
Config: configs/deeplabv3plus/deeplabv3plus_r101b-d8_4xb2-80k_cityscapes-512x1024.py |
|
Metadata: |
|
Training Data: Cityscapes |
|
Batch Size: 8 |
|
Architecture: |
|
- R-101b-D8 |
|
- DeepLabV3+ |
|
Training Resources: 4x V100 GPUS |
|
Memory (GB): 10.9 |
|
Weights: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r101b-d8_512x1024_80k_cityscapes/deeplabv3plus_r101b-d8_512x1024_80k_cityscapes_20201226_190843-9c3c93a4.pth |
|
Training log: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r101b-d8_512x1024_80k_cityscapes/deeplabv3plus_r101b-d8_512x1024_80k_cityscapes-20201226_190843.log.json |
|
Paper: |
|
Title: Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation |
|
URL: https://arxiv.org/abs/1802.02611 |
|
Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/sep_aspp_head.py#L30 |
|
Framework: PyTorch |
|
- Name: deeplabv3plus_r18b-d8_4xb2-80k_cityscapes-769x769 |
|
In Collection: DeepLabV3+ |
|
Results: |
|
Task: Semantic Segmentation |
|
Dataset: Cityscapes |
|
Metrics: |
|
mIoU: 76.36 |
|
mIoU(ms+flip): 78.24 |
|
Config: configs/deeplabv3plus/deeplabv3plus_r18b-d8_4xb2-80k_cityscapes-769x769.py |
|
Metadata: |
|
Training Data: Cityscapes |
|
Batch Size: 8 |
|
Architecture: |
|
- R-18b-D8 |
|
- DeepLabV3+ |
|
Training Resources: 4x V100 GPUS |
|
Memory (GB): 2.4 |
|
Weights: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r18b-d8_769x769_80k_cityscapes/deeplabv3plus_r18b-d8_769x769_80k_cityscapes_20201226_151312-2c868aff.pth |
|
Training log: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r18b-d8_769x769_80k_cityscapes/deeplabv3plus_r18b-d8_769x769_80k_cityscapes-20201226_151312.log.json |
|
Paper: |
|
Title: Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation |
|
URL: https://arxiv.org/abs/1802.02611 |
|
Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/sep_aspp_head.py#L30 |
|
Framework: PyTorch |
|
- Name: deeplabv3plus_r50b-d8_4xb2-80k_cityscapes-769x769 |
|
In Collection: DeepLabV3+ |
|
Results: |
|
Task: Semantic Segmentation |
|
Dataset: Cityscapes |
|
Metrics: |
|
mIoU: 79.41 |
|
mIoU(ms+flip): 80.56 |
|
Config: configs/deeplabv3plus/deeplabv3plus_r50b-d8_4xb2-80k_cityscapes-769x769.py |
|
Metadata: |
|
Training Data: Cityscapes |
|
Batch Size: 8 |
|
Architecture: |
|
- R-50b-D8 |
|
- DeepLabV3+ |
|
Training Resources: 4x V100 GPUS |
|
Memory (GB): 8.4 |
|
Weights: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r50b-d8_769x769_80k_cityscapes/deeplabv3plus_r50b-d8_769x769_80k_cityscapes_20201225_224655-8b596d1c.pth |
|
Training log: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r50b-d8_769x769_80k_cityscapes/deeplabv3plus_r50b-d8_769x769_80k_cityscapes-20201225_224655.log.json |
|
Paper: |
|
Title: Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation |
|
URL: https://arxiv.org/abs/1802.02611 |
|
Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/sep_aspp_head.py#L30 |
|
Framework: PyTorch |
|
- Name: deeplabv3plus_r101b-d8_4xb2-80k_cityscapes-769x769 |
|
In Collection: DeepLabV3+ |
|
Results: |
|
Task: Semantic Segmentation |
|
Dataset: Cityscapes |
|
Metrics: |
|
mIoU: 79.88 |
|
mIoU(ms+flip): 81.46 |
|
Config: configs/deeplabv3plus/deeplabv3plus_r101b-d8_4xb2-80k_cityscapes-769x769.py |
|
Metadata: |
|
Training Data: Cityscapes |
|
Batch Size: 8 |
|
Architecture: |
|
- R-101b-D8 |
|
- DeepLabV3+ |
|
Training Resources: 4x V100 GPUS |
|
Memory (GB): 12.3 |
|
Weights: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r101b-d8_769x769_80k_cityscapes/deeplabv3plus_r101b-d8_769x769_80k_cityscapes_20201226_205041-227cdf7c.pth |
|
Training log: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r101b-d8_769x769_80k_cityscapes/deeplabv3plus_r101b-d8_769x769_80k_cityscapes-20201226_205041.log.json |
|
Paper: |
|
Title: Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation |
|
URL: https://arxiv.org/abs/1802.02611 |
|
Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/sep_aspp_head.py#L30 |
|
Framework: PyTorch |
|
- Name: deeplabv3plus_r50-d8_4xb4-80k_ade20k-512x512 |
|
In Collection: DeepLabV3+ |
|
Results: |
|
Task: Semantic Segmentation |
|
Dataset: ADE20K |
|
Metrics: |
|
mIoU: 42.72 |
|
mIoU(ms+flip): 43.75 |
|
Config: configs/deeplabv3plus/deeplabv3plus_r50-d8_4xb4-80k_ade20k-512x512.py |
|
Metadata: |
|
Training Data: ADE20K |
|
Batch Size: 16 |
|
Architecture: |
|
- R-50-D8 |
|
- DeepLabV3+ |
|
Training Resources: 4x V100 GPUS |
|
Memory (GB): 10.6 |
|
Weights: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r50-d8_512x512_80k_ade20k/deeplabv3plus_r50-d8_512x512_80k_ade20k_20200614_185028-bf1400d8.pth |
|
Training log: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r50-d8_512x512_80k_ade20k/deeplabv3plus_r50-d8_512x512_80k_ade20k_20200614_185028.log.json |
|
Paper: |
|
Title: Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation |
|
URL: https://arxiv.org/abs/1802.02611 |
|
Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/sep_aspp_head.py#L30 |
|
Framework: PyTorch |
|
- Name: deeplabv3plus_r101-d8_4xb4-160k_ade20k-512x512 |
|
In Collection: DeepLabV3+ |
|
Results: |
|
Task: Semantic Segmentation |
|
Dataset: ADE20K |
|
Metrics: |
|
mIoU: 44.6 |
|
mIoU(ms+flip): 46.06 |
|
Config: configs/deeplabv3plus/deeplabv3plus_r101-d8_4xb4-160k_ade20k-512x512.py |
|
Metadata: |
|
Training Data: ADE20K |
|
Batch Size: 16 |
|
Architecture: |
|
- R-101-D8 |
|
- DeepLabV3+ |
|
Training Resources: 4x V100 GPUS |
|
Memory (GB): 14.1 |
|
Weights: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r101-d8_512x512_80k_ade20k/deeplabv3plus_r101-d8_512x512_80k_ade20k_20200615_014139-d5730af7.pth |
|
Training log: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r101-d8_512x512_80k_ade20k/deeplabv3plus_r101-d8_512x512_80k_ade20k_20200615_014139.log.json |
|
Paper: |
|
Title: Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation |
|
URL: https://arxiv.org/abs/1802.02611 |
|
Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/sep_aspp_head.py#L30 |
|
Framework: PyTorch |
|
- Name: deeplabv3plus_r50-d8_4xb4-160k_ade20k-512x512 |
|
In Collection: DeepLabV3+ |
|
Results: |
|
Task: Semantic Segmentation |
|
Dataset: ADE20K |
|
Metrics: |
|
mIoU: 43.95 |
|
mIoU(ms+flip): 44.93 |
|
Config: configs/deeplabv3plus/deeplabv3plus_r50-d8_4xb4-160k_ade20k-512x512.py |
|
Metadata: |
|
Training Data: ADE20K |
|
Batch Size: 16 |
|
Architecture: |
|
- R-50-D8 |
|
- DeepLabV3+ |
|
Training Resources: 4x V100 GPUS |
|
Weights: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r50-d8_512x512_160k_ade20k/deeplabv3plus_r50-d8_512x512_160k_ade20k_20200615_124504-6135c7e0.pth |
|
Training log: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r50-d8_512x512_160k_ade20k/deeplabv3plus_r50-d8_512x512_160k_ade20k_20200615_124504.log.json |
|
Paper: |
|
Title: Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation |
|
URL: https://arxiv.org/abs/1802.02611 |
|
Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/sep_aspp_head.py#L30 |
|
Framework: PyTorch |
|
- Name: deeplabv3plus_r101-d8_4xb4-160k_ade20k-512x512 |
|
In Collection: DeepLabV3+ |
|
Results: |
|
Task: Semantic Segmentation |
|
Dataset: ADE20K |
|
Metrics: |
|
mIoU: 45.47 |
|
mIoU(ms+flip): 46.35 |
|
Config: configs/deeplabv3plus/deeplabv3plus_r101-d8_4xb4-160k_ade20k-512x512.py |
|
Metadata: |
|
Training Data: ADE20K |
|
Batch Size: 16 |
|
Architecture: |
|
- R-101-D8 |
|
- DeepLabV3+ |
|
Training Resources: 4x V100 GPUS |
|
Weights: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r101-d8_512x512_160k_ade20k/deeplabv3plus_r101-d8_512x512_160k_ade20k_20200615_123232-38ed86bb.pth |
|
Training log: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r101-d8_512x512_160k_ade20k/deeplabv3plus_r101-d8_512x512_160k_ade20k_20200615_123232.log.json |
|
Paper: |
|
Title: Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation |
|
URL: https://arxiv.org/abs/1802.02611 |
|
Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/sep_aspp_head.py#L30 |
|
Framework: PyTorch |
|
- Name: deeplabv3plus_r50-d8_4xb4-20k_voc12aug-512x512 |
|
In Collection: DeepLabV3+ |
|
Results: |
|
Task: Semantic Segmentation |
|
Dataset: Pascal VOC 2012 + Aug |
|
Metrics: |
|
mIoU: 75.93 |
|
mIoU(ms+flip): 77.5 |
|
Config: configs/deeplabv3plus/deeplabv3plus_r50-d8_4xb4-20k_voc12aug-512x512.py |
|
Metadata: |
|
Training Data: Pascal VOC 2012 + Aug |
|
Batch Size: 16 |
|
Architecture: |
|
- R-50-D8 |
|
- DeepLabV3+ |
|
Training Resources: 4x V100 GPUS |
|
Memory (GB): 7.6 |
|
Weights: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r50-d8_512x512_20k_voc12aug/deeplabv3plus_r50-d8_512x512_20k_voc12aug_20200617_102323-aad58ef1.pth |
|
Training log: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r50-d8_512x512_20k_voc12aug/deeplabv3plus_r50-d8_512x512_20k_voc12aug_20200617_102323.log.json |
|
Paper: |
|
Title: Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation |
|
URL: https://arxiv.org/abs/1802.02611 |
|
Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/sep_aspp_head.py#L30 |
|
Framework: PyTorch |
|
- Name: deeplabv3plus_r101-d8_4xb4-20k_voc12aug-512x512 |
|
In Collection: DeepLabV3+ |
|
Results: |
|
Task: Semantic Segmentation |
|
Dataset: Pascal VOC 2012 + Aug |
|
Metrics: |
|
mIoU: 77.22 |
|
mIoU(ms+flip): 78.59 |
|
Config: configs/deeplabv3plus/deeplabv3plus_r101-d8_4xb4-20k_voc12aug-512x512.py |
|
Metadata: |
|
Training Data: Pascal VOC 2012 + Aug |
|
Batch Size: 16 |
|
Architecture: |
|
- R-101-D8 |
|
- DeepLabV3+ |
|
Training Resources: 4x V100 GPUS |
|
Memory (GB): 11.0 |
|
Weights: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r101-d8_512x512_20k_voc12aug/deeplabv3plus_r101-d8_512x512_20k_voc12aug_20200617_102345-c7ff3d56.pth |
|
Training log: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r101-d8_512x512_20k_voc12aug/deeplabv3plus_r101-d8_512x512_20k_voc12aug_20200617_102345.log.json |
|
Paper: |
|
Title: Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation |
|
URL: https://arxiv.org/abs/1802.02611 |
|
Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/sep_aspp_head.py#L30 |
|
Framework: PyTorch |
|
- Name: deeplabv3plus_r50-d8_4xb4-40k_voc12aug-512x512 |
|
In Collection: DeepLabV3+ |
|
Results: |
|
Task: Semantic Segmentation |
|
Dataset: Pascal VOC 2012 + Aug |
|
Metrics: |
|
mIoU: 76.81 |
|
mIoU(ms+flip): 77.57 |
|
Config: configs/deeplabv3plus/deeplabv3plus_r50-d8_4xb4-40k_voc12aug-512x512.py |
|
Metadata: |
|
Training Data: Pascal VOC 2012 + Aug |
|
Batch Size: 16 |
|
Architecture: |
|
- R-50-D8 |
|
- DeepLabV3+ |
|
Training Resources: 4x V100 GPUS |
|
Weights: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r50-d8_512x512_40k_voc12aug/deeplabv3plus_r50-d8_512x512_40k_voc12aug_20200613_161759-e1b43aa9.pth |
|
Training log: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r50-d8_512x512_40k_voc12aug/deeplabv3plus_r50-d8_512x512_40k_voc12aug_20200613_161759.log.json |
|
Paper: |
|
Title: Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation |
|
URL: https://arxiv.org/abs/1802.02611 |
|
Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/sep_aspp_head.py#L30 |
|
Framework: PyTorch |
|
- Name: deeplabv3plus_r101-d8_4xb4-40k_voc12aug-512x512 |
|
In Collection: DeepLabV3+ |
|
Results: |
|
Task: Semantic Segmentation |
|
Dataset: Pascal VOC 2012 + Aug |
|
Metrics: |
|
mIoU: 78.62 |
|
mIoU(ms+flip): 79.53 |
|
Config: configs/deeplabv3plus/deeplabv3plus_r101-d8_4xb4-40k_voc12aug-512x512.py |
|
Metadata: |
|
Training Data: Pascal VOC 2012 + Aug |
|
Batch Size: 16 |
|
Architecture: |
|
- R-101-D8 |
|
- DeepLabV3+ |
|
Training Resources: 4x V100 GPUS |
|
Weights: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r101-d8_512x512_40k_voc12aug/deeplabv3plus_r101-d8_512x512_40k_voc12aug_20200613_205333-faf03387.pth |
|
Training log: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r101-d8_512x512_40k_voc12aug/deeplabv3plus_r101-d8_512x512_40k_voc12aug_20200613_205333.log.json |
|
Paper: |
|
Title: Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation |
|
URL: https://arxiv.org/abs/1802.02611 |
|
Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/sep_aspp_head.py#L30 |
|
Framework: PyTorch |
|
- Name: deeplabv3plus_r50-d8_4xb4-40k_pascal-context-480x480 |
|
In Collection: DeepLabV3+ |
|
Results: |
|
Task: Semantic Segmentation |
|
Dataset: Pascal Context |
|
Metrics: |
|
mIoU: 47.3 |
|
mIoU(ms+flip): 48.47 |
|
Config: configs/deeplabv3plus/deeplabv3plus_r50-d8_4xb4-40k_pascal-context-480x480.py |
|
Metadata: |
|
Training Data: Pascal Context |
|
Batch Size: 16 |
|
Architecture: |
|
- R-101-D8 |
|
- DeepLabV3+ |
|
Training Resources: 4x V100 GPUS |
|
Weights: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r101-d8_480x480_40k_pascal_context/deeplabv3plus_r101-d8_480x480_40k_pascal_context_20200911_165459-d3c8a29e.pth |
|
Training log: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r101-d8_480x480_40k_pascal_context/deeplabv3plus_r101-d8_480x480_40k_pascal_context-20200911_165459.log.json |
|
Paper: |
|
Title: Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation |
|
URL: https://arxiv.org/abs/1802.02611 |
|
Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/sep_aspp_head.py#L30 |
|
Framework: PyTorch |
|
- Name: deeplabv3plus_r50-d8_4xb4-80k_pascal-context-480x480 |
|
In Collection: DeepLabV3+ |
|
Results: |
|
Task: Semantic Segmentation |
|
Dataset: Pascal Context |
|
Metrics: |
|
mIoU: 47.23 |
|
mIoU(ms+flip): 48.26 |
|
Config: configs/deeplabv3plus/deeplabv3plus_r50-d8_4xb4-80k_pascal-context-480x480.py |
|
Metadata: |
|
Training Data: Pascal Context |
|
Batch Size: 16 |
|
Architecture: |
|
- R-101-D8 |
|
- DeepLabV3+ |
|
Training Resources: 4x V100 GPUS |
|
Weights: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r101-d8_480x480_80k_pascal_context/deeplabv3plus_r101-d8_480x480_80k_pascal_context_20200911_155322-145d3ee8.pth |
|
Training log: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r101-d8_480x480_80k_pascal_context/deeplabv3plus_r101-d8_480x480_80k_pascal_context-20200911_155322.log.json |
|
Paper: |
|
Title: Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation |
|
URL: https://arxiv.org/abs/1802.02611 |
|
Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/sep_aspp_head.py#L30 |
|
Framework: PyTorch |
|
- Name: deeplabv3plus_r101-d8_4xb4-40k_pascal-context-59-480x480 |
|
In Collection: DeepLabV3+ |
|
Results: |
|
Task: Semantic Segmentation |
|
Dataset: Pascal Context 59 |
|
Metrics: |
|
mIoU: 52.86 |
|
mIoU(ms+flip): 54.54 |
|
Config: configs/deeplabv3plus/deeplabv3plus_r101-d8_4xb4-40k_pascal-context-59-480x480.py |
|
Metadata: |
|
Training Data: Pascal Context 59 |
|
Batch Size: 16 |
|
Architecture: |
|
- R-101-D8 |
|
- DeepLabV3+ |
|
Training Resources: 4x V100 GPUS |
|
Weights: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r101-d8_480x480_40k_pascal_context_59/deeplabv3plus_r101-d8_480x480_40k_pascal_context_59_20210416_111233-ed937f15.pth |
|
Training log: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r101-d8_480x480_40k_pascal_context_59/deeplabv3plus_r101-d8_480x480_40k_pascal_context_59-20210416_111233.log.json |
|
Paper: |
|
Title: Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation |
|
URL: https://arxiv.org/abs/1802.02611 |
|
Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/sep_aspp_head.py#L30 |
|
Framework: PyTorch |
|
- Name: deeplabv3plus_r101-d8_4xb4-80k_pascal-context-59-480x480 |
|
In Collection: DeepLabV3+ |
|
Results: |
|
Task: Semantic Segmentation |
|
Dataset: Pascal Context 59 |
|
Metrics: |
|
mIoU: 53.2 |
|
mIoU(ms+flip): 54.67 |
|
Config: configs/deeplabv3plus/deeplabv3plus_r101-d8_4xb4-80k_pascal-context-59-480x480.py |
|
Metadata: |
|
Training Data: Pascal Context 59 |
|
Batch Size: 16 |
|
Architecture: |
|
- R-101-D8 |
|
- DeepLabV3+ |
|
Training Resources: 4x V100 GPUS |
|
Weights: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r101-d8_480x480_80k_pascal_context_59/deeplabv3plus_r101-d8_480x480_80k_pascal_context_59_20210416_111127-7ca0331d.pth |
|
Training log: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r101-d8_480x480_80k_pascal_context_59/deeplabv3plus_r101-d8_480x480_80k_pascal_context_59-20210416_111127.log.json |
|
Paper: |
|
Title: Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation |
|
URL: https://arxiv.org/abs/1802.02611 |
|
Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/sep_aspp_head.py#L30 |
|
Framework: PyTorch |
|
- Name: deeplabv3plus_r18-d8_4xb4-80k_loveda-512x512 |
|
In Collection: DeepLabV3+ |
|
Results: |
|
Task: Semantic Segmentation |
|
Dataset: LoveDA |
|
Metrics: |
|
mIoU: 50.28 |
|
mIoU(ms+flip): 50.47 |
|
Config: configs/deeplabv3plus/deeplabv3plus_r18-d8_4xb4-80k_loveda-512x512.py |
|
Metadata: |
|
Training Data: LoveDA |
|
Batch Size: 16 |
|
Architecture: |
|
- R-18-D8 |
|
- DeepLabV3+ |
|
Training Resources: 4x V100 GPUS |
|
Memory (GB): 1.93 |
|
Weights: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r18-d8_512x512_80k_loveda/deeplabv3plus_r18-d8_512x512_80k_loveda_20211104_132800-ce0fa0ca.pth |
|
Training log: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r18-d8_512x512_80k_loveda/deeplabv3plus_r18-d8_512x512_80k_loveda_20211104_132800.log.json |
|
Paper: |
|
Title: Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation |
|
URL: https://arxiv.org/abs/1802.02611 |
|
Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/sep_aspp_head.py#L30 |
|
Framework: PyTorch |
|
- Name: deeplabv3plus_r50-d8_4xb4-80k_loveda-512x512 |
|
In Collection: DeepLabV3+ |
|
Results: |
|
Task: Semantic Segmentation |
|
Dataset: LoveDA |
|
Metrics: |
|
mIoU: 50.99 |
|
mIoU(ms+flip): 50.65 |
|
Config: configs/deeplabv3plus/deeplabv3plus_r50-d8_4xb4-80k_loveda-512x512.py |
|
Metadata: |
|
Training Data: LoveDA |
|
Batch Size: 16 |
|
Architecture: |
|
- R-50-D8 |
|
- DeepLabV3+ |
|
Training Resources: 4x V100 GPUS |
|
Memory (GB): 7.37 |
|
Weights: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r50-d8_512x512_80k_loveda/deeplabv3plus_r50-d8_512x512_80k_loveda_20211105_080442-f0720392.pth |
|
Training log: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r50-d8_512x512_80k_loveda/deeplabv3plus_r50-d8_512x512_80k_loveda_20211105_080442.log.json |
|
Paper: |
|
Title: Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation |
|
URL: https://arxiv.org/abs/1802.02611 |
|
Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/sep_aspp_head.py#L30 |
|
Framework: PyTorch |
|
- Name: deeplabv3plus_r101-d8_4xb4-80k_loveda-512x512 |
|
In Collection: DeepLabV3+ |
|
Results: |
|
Task: Semantic Segmentation |
|
Dataset: LoveDA |
|
Metrics: |
|
mIoU: 51.47 |
|
mIoU(ms+flip): 51.32 |
|
Config: configs/deeplabv3plus/deeplabv3plus_r101-d8_4xb4-80k_loveda-512x512.py |
|
Metadata: |
|
Training Data: LoveDA |
|
Batch Size: 16 |
|
Architecture: |
|
- R-101-D8 |
|
- DeepLabV3+ |
|
Training Resources: 4x V100 GPUS |
|
Memory (GB): 10.84 |
|
Weights: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r101-d8_512x512_80k_loveda/deeplabv3plus_r101-d8_512x512_80k_loveda_20211105_110759-4c1f297e.pth |
|
Training log: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r101-d8_512x512_80k_loveda/deeplabv3plus_r101-d8_512x512_80k_loveda_20211105_110759.log.json |
|
Paper: |
|
Title: Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation |
|
URL: https://arxiv.org/abs/1802.02611 |
|
Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/sep_aspp_head.py#L30 |
|
Framework: PyTorch |
|
- Name: deeplabv3plus_r18-d8_4xb4-80k_potsdam-512x512 |
|
In Collection: DeepLabV3+ |
|
Results: |
|
Task: Semantic Segmentation |
|
Dataset: Potsdam |
|
Metrics: |
|
mIoU: 77.09 |
|
mIoU(ms+flip): 78.44 |
|
Config: configs/deeplabv3plus/deeplabv3plus_r18-d8_4xb4-80k_potsdam-512x512.py |
|
Metadata: |
|
Training Data: Potsdam |
|
Batch Size: 16 |
|
Architecture: |
|
- R-18-D8 |
|
- DeepLabV3+ |
|
Training Resources: 4x V100 GPUS |
|
Memory (GB): 1.91 |
|
Weights: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r18-d8_512x512_80k_potsdam/deeplabv3plus_r18-d8_512x512_80k_potsdam_20211219_020601-75fd5bc3.pth |
|
Training log: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r18-d8_512x512_80k_potsdam/deeplabv3plus_r18-d8_512x512_80k_potsdam_20211219_020601.log.json |
|
Paper: |
|
Title: Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation |
|
URL: https://arxiv.org/abs/1802.02611 |
|
Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/sep_aspp_head.py#L30 |
|
Framework: PyTorch |
|
- Name: deeplabv3plus_r50-d8_4xb4-80k_potsdam-512x512 |
|
In Collection: DeepLabV3+ |
|
Results: |
|
Task: Semantic Segmentation |
|
Dataset: Potsdam |
|
Metrics: |
|
mIoU: 78.33 |
|
mIoU(ms+flip): 79.27 |
|
Config: configs/deeplabv3plus/deeplabv3plus_r50-d8_4xb4-80k_potsdam-512x512.py |
|
Metadata: |
|
Training Data: Potsdam |
|
Batch Size: 16 |
|
Architecture: |
|
- R-50-D8 |
|
- DeepLabV3+ |
|
Training Resources: 4x V100 GPUS |
|
Memory (GB): 7.36 |
|
Weights: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r50-d8_512x512_80k_potsdam/deeplabv3plus_r50-d8_512x512_80k_potsdam_20211219_031508-7e7a2b24.pth |
|
Training log: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r50-d8_512x512_80k_potsdam/deeplabv3plus_r50-d8_512x512_80k_potsdam_20211219_031508.log.json |
|
Paper: |
|
Title: Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation |
|
URL: https://arxiv.org/abs/1802.02611 |
|
Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/sep_aspp_head.py#L30 |
|
Framework: PyTorch |
|
- Name: deeplabv3plus_r101-d8_4xb4-80k_potsdam-512x512 |
|
In Collection: DeepLabV3+ |
|
Results: |
|
Task: Semantic Segmentation |
|
Dataset: Potsdam |
|
Metrics: |
|
mIoU: 78.7 |
|
mIoU(ms+flip): 79.47 |
|
Config: configs/deeplabv3plus/deeplabv3plus_r101-d8_4xb4-80k_potsdam-512x512.py |
|
Metadata: |
|
Training Data: Potsdam |
|
Batch Size: 16 |
|
Architecture: |
|
- R-101-D8 |
|
- DeepLabV3+ |
|
Training Resources: 4x V100 GPUS |
|
Memory (GB): 10.83 |
|
Weights: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r101-d8_512x512_80k_potsdam/deeplabv3plus_r101-d8_512x512_80k_potsdam_20211219_031508-8b112708.pth |
|
Training log: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r101-d8_512x512_80k_potsdam/deeplabv3plus_r101-d8_512x512_80k_potsdam_20211219_031508.log.json |
|
Paper: |
|
Title: Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation |
|
URL: https://arxiv.org/abs/1802.02611 |
|
Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/sep_aspp_head.py#L30 |
|
Framework: PyTorch |
|
- Name: deeplabv3plus_r18-d8_4xb4-80k_vaihingen-512x512 |
|
In Collection: DeepLabV3+ |
|
Results: |
|
Task: Semantic Segmentation |
|
Dataset: Vaihingen |
|
Metrics: |
|
mIoU: 72.5 |
|
mIoU(ms+flip): 74.13 |
|
Config: configs/deeplabv3plus/deeplabv3plus_r18-d8_4xb4-80k_vaihingen-512x512.py |
|
Metadata: |
|
Training Data: Vaihingen |
|
Batch Size: 16 |
|
Architecture: |
|
- R-18-D8 |
|
- DeepLabV3+ |
|
Training Resources: 4x V100 GPUS |
|
Memory (GB): 1.91 |
|
Weights: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r18-d8_4x4_512x512_80k_vaihingen/deeplabv3plus_r18-d8_4x4_512x512_80k_vaihingen_20211231_230805-7626a263.pth |
|
Training log: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r18-d8_4x4_512x512_80k_vaihingen/deeplabv3plus_r18-d8_4x4_512x512_80k_vaihingen_20211231_230805.log.json |
|
Paper: |
|
Title: Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation |
|
URL: https://arxiv.org/abs/1802.02611 |
|
Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/sep_aspp_head.py#L30 |
|
Framework: PyTorch |
|
- Name: deeplabv3plus_r50-d8_4xb4-80k_vaihingen-512x512 |
|
In Collection: DeepLabV3+ |
|
Results: |
|
Task: Semantic Segmentation |
|
Dataset: Vaihingen |
|
Metrics: |
|
mIoU: 73.97 |
|
mIoU(ms+flip): 75.05 |
|
Config: configs/deeplabv3plus/deeplabv3plus_r50-d8_4xb4-80k_vaihingen-512x512.py |
|
Metadata: |
|
Training Data: Vaihingen |
|
Batch Size: 16 |
|
Architecture: |
|
- R-50-D8 |
|
- DeepLabV3+ |
|
Training Resources: 4x V100 GPUS |
|
Memory (GB): 7.36 |
|
Weights: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r50-d8_4x4_512x512_80k_vaihingen/deeplabv3plus_r50-d8_4x4_512x512_80k_vaihingen_20211231_230816-5040938d.pth |
|
Training log: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r50-d8_4x4_512x512_80k_vaihingen/deeplabv3plus_r50-d8_4x4_512x512_80k_vaihingen_20211231_230816.log.json |
|
Paper: |
|
Title: Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation |
|
URL: https://arxiv.org/abs/1802.02611 |
|
Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/sep_aspp_head.py#L30 |
|
Framework: PyTorch |
|
- Name: deeplabv3plus_r101-d8_4xb4-80k_vaihingen-512x512 |
|
In Collection: DeepLabV3+ |
|
Results: |
|
Task: Semantic Segmentation |
|
Dataset: Vaihingen |
|
Metrics: |
|
mIoU: 73.06 |
|
mIoU(ms+flip): 74.14 |
|
Config: configs/deeplabv3plus/deeplabv3plus_r101-d8_4xb4-80k_vaihingen-512x512.py |
|
Metadata: |
|
Training Data: Vaihingen |
|
Batch Size: 16 |
|
Architecture: |
|
- R-101-D8 |
|
- DeepLabV3+ |
|
Training Resources: 4x V100 GPUS |
|
Memory (GB): 10.83 |
|
Weights: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r101-d8_4x4_512x512_80k_vaihingen/deeplabv3plus_r101-d8_4x4_512x512_80k_vaihingen_20211231_230816-8a095afa.pth |
|
Training log: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r101-d8_4x4_512x512_80k_vaihingen/deeplabv3plus_r101-d8_4x4_512x512_80k_vaihingen_20211231_230816.log.json |
|
Paper: |
|
Title: Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation |
|
URL: https://arxiv.org/abs/1802.02611 |
|
Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/sep_aspp_head.py#L30 |
|
Framework: PyTorch |
|
- Name: deeplabv3plus_r18-d8_4xb4-80k_isaid-896x896 |
|
In Collection: DeepLabV3+ |
|
Results: |
|
Task: Semantic Segmentation |
|
Dataset: iSAID |
|
Metrics: |
|
mIoU: 61.35 |
|
mIoU(ms+flip): 62.61 |
|
Config: configs/deeplabv3plus/deeplabv3plus_r18-d8_4xb4-80k_isaid-896x896.py |
|
Metadata: |
|
Training Data: iSAID |
|
Batch Size: 16 |
|
Architecture: |
|
- R-18-D8 |
|
- DeepLabV3+ |
|
Training Resources: 4x V100 GPUS |
|
Memory (GB): 6.19 |
|
Weights: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r18-d8_4x4_896x896_80k_isaid/deeplabv3plus_r18-d8_4x4_896x896_80k_isaid_20220110_180526-7059991d.pth |
|
Training log: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r18-d8_4x4_896x896_80k_isaid/deeplabv3plus_r18-d8_4x4_896x896_80k_isaid_20220110_180526.log.json |
|
Paper: |
|
Title: Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation |
|
URL: https://arxiv.org/abs/1802.02611 |
|
Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/sep_aspp_head.py#L30 |
|
Framework: PyTorch |
|
- Name: deeplabv3plus_r50-d8_4xb4-80k_isaid-896x896 |
|
In Collection: DeepLabV3+ |
|
Results: |
|
Task: Semantic Segmentation |
|
Dataset: iSAID |
|
Metrics: |
|
mIoU: 67.06 |
|
mIoU(ms+flip): 68.02 |
|
Config: configs/deeplabv3plus/deeplabv3plus_r50-d8_4xb4-80k_isaid-896x896.py |
|
Metadata: |
|
Training Data: iSAID |
|
Batch Size: 16 |
|
Architecture: |
|
- R-50-D8 |
|
- DeepLabV3+ |
|
Training Resources: 4x V100 GPUS |
|
Memory (GB): 21.45 |
|
Weights: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r50-d8_4x4_896x896_80k_isaid/deeplabv3plus_r50-d8_4x4_896x896_80k_isaid_20220110_180526-598be439.pth |
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Training log: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r50-d8_4x4_896x896_80k_isaid/deeplabv3plus_r50-d8_4x4_896x896_80k_isaid_20220110_180526.log.json |
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Paper: |
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Title: Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation |
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URL: https://arxiv.org/abs/1802.02611 |
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Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/sep_aspp_head.py#L30 |
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Framework: PyTorch |
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- Name: deeplabv3plus_r50-d8_4xb2-300k_mapillay_v1_65-1280x1280 |
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In Collection: DeepLabV3+ |
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Results: |
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Task: Semantic Segmentation |
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Dataset: Mapillary Vistas v1.2 |
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Metrics: |
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mIoU: 47.35 |
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Config: configs/deeplabv3plus/deeplabv3plus_r50-d8_4xb2-300k_mapillay_v1_65-1280x1280.py |
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Metadata: |
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Training Data: Mapillary Vistas v1.2 |
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Batch Size: 8 |
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Architecture: |
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- R-50-D8 |
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- DeepLabV3+ |
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Training Resources: 4x A100 GPUS |
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Memory (GB): 24.04 |
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Weights: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r50-d8_4xb2-300k_mapillay_v1_65-1280x1280/deeplabv3plus_r50-d8_4xb2-300k_mapillay_v1_65-1280x1280_20230301_110504-655f8e43.pth |
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Training log: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r50-d8_4xb2-300k_mapillay_v1_65-1280x1280/deeplabv3plus_r50-d8_4xb2-300k_mapillay_v1_65-1280x1280_20230301_110504.json |
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Paper: |
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Title: Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation |
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URL: https://arxiv.org/abs/1802.02611 |
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Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/sep_aspp_head.py#L30 |
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Framework: PyTorch |
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