Collections: - Name: PointRend License: Apache License 2.0 Metadata: Training Data: - Cityscapes - ADE20K Paper: Title: 'PointRend: Image Segmentation as Rendering' URL: https://arxiv.org/abs/1912.08193 README: configs/point_rend/README.md Frameworks: - PyTorch Models: - Name: pointrend_r50_4xb2-80k_cityscapes-512x1024 In Collection: PointRend Results: Task: Semantic Segmentation Dataset: Cityscapes Metrics: mIoU: 76.47 mIoU(ms+flip): 78.13 Config: configs/point_rend/pointrend_r50_4xb2-80k_cityscapes-512x1024.py Metadata: Training Data: Cityscapes Batch Size: 8 Architecture: - R-50 - PointRend Training Resources: 4x V100 GPUS Memory (GB): 3.1 Weights: https://download.openmmlab.com/mmsegmentation/v0.5/point_rend/pointrend_r50_512x1024_80k_cityscapes/pointrend_r50_512x1024_80k_cityscapes_20200711_015821-bb1ff523.pth Training log: https://download.openmmlab.com/mmsegmentation/v0.5/point_rend/pointrend_r50_512x1024_80k_cityscapes/pointrend_r50_512x1024_80k_cityscapes-20200715_214714.log.json Paper: Title: 'PointRend: Image Segmentation as Rendering' URL: https://arxiv.org/abs/1912.08193 Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/point_head.py#L36 Framework: PyTorch - Name: pointrend_r101_4xb2-80k_cityscapes-512x1024 In Collection: PointRend Results: Task: Semantic Segmentation Dataset: Cityscapes Metrics: mIoU: 78.3 mIoU(ms+flip): 79.97 Config: configs/point_rend/pointrend_r101_4xb2-80k_cityscapes-512x1024.py Metadata: Training Data: Cityscapes Batch Size: 8 Architecture: - R-101 - PointRend Training Resources: 4x V100 GPUS Memory (GB): 4.2 Weights: https://download.openmmlab.com/mmsegmentation/v0.5/point_rend/pointrend_r101_512x1024_80k_cityscapes/pointrend_r101_512x1024_80k_cityscapes_20200711_170850-d0ca84be.pth Training log: https://download.openmmlab.com/mmsegmentation/v0.5/point_rend/pointrend_r101_512x1024_80k_cityscapes/pointrend_r101_512x1024_80k_cityscapes-20200715_214824.log.json Paper: Title: 'PointRend: Image Segmentation as Rendering' URL: https://arxiv.org/abs/1912.08193 Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/point_head.py#L36 Framework: PyTorch - Name: pointrend_r50_4xb4-160k_ade20k-512x512 In Collection: PointRend Results: Task: Semantic Segmentation Dataset: ADE20K Metrics: mIoU: 37.64 mIoU(ms+flip): 39.17 Config: configs/point_rend/pointrend_r50_4xb4-160k_ade20k-512x512.py Metadata: Training Data: ADE20K Batch Size: 16 Architecture: - R-50 - PointRend Training Resources: 4x V100 GPUS Memory (GB): 5.1 Weights: https://download.openmmlab.com/mmsegmentation/v0.5/point_rend/pointrend_r50_512x512_160k_ade20k/pointrend_r50_512x512_160k_ade20k_20200807_232644-ac3febf2.pth Training log: https://download.openmmlab.com/mmsegmentation/v0.5/point_rend/pointrend_r50_512x512_160k_ade20k/pointrend_r50_512x512_160k_ade20k-20200807_232644.log.json Paper: Title: 'PointRend: Image Segmentation as Rendering' URL: https://arxiv.org/abs/1912.08193 Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/point_head.py#L36 Framework: PyTorch - Name: pointrend_r101_4xb4-160k_ade20k-512x512 In Collection: PointRend Results: Task: Semantic Segmentation Dataset: ADE20K Metrics: mIoU: 40.02 mIoU(ms+flip): 41.6 Config: configs/point_rend/pointrend_r101_4xb4-160k_ade20k-512x512.py Metadata: Training Data: ADE20K Batch Size: 16 Architecture: - R-101 - PointRend Training Resources: 4x V100 GPUS Memory (GB): 6.1 Weights: https://download.openmmlab.com/mmsegmentation/v0.5/point_rend/pointrend_r101_512x512_160k_ade20k/pointrend_r101_512x512_160k_ade20k_20200808_030852-8834902a.pth Training log: https://download.openmmlab.com/mmsegmentation/v0.5/point_rend/pointrend_r101_512x512_160k_ade20k/pointrend_r101_512x512_160k_ade20k-20200808_030852.log.json Paper: Title: 'PointRend: Image Segmentation as Rendering' URL: https://arxiv.org/abs/1912.08193 Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/point_head.py#L36 Framework: PyTorch