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Collections:
- Name: Guided Anchoring
Metadata:
Training Data: COCO
Training Techniques:
- SGD with Momentum
- Weight Decay
Training Resources: 8x V100 GPUs
Architecture:
- FPN
- Guided Anchoring
- ResNet
Paper:
URL: https://arxiv.org/abs/1901.03278
Title: 'Region Proposal by Guided Anchoring'
README: configs/guided_anchoring/README.md
Code:
URL: https://github.com/open-mmlab/mmdetection/blob/v2.0.0/mmdet/models/dense_heads/ga_retina_head.py#L10
Version: v2.0.0
Models:
- Name: ga_rpn_r50_caffe_fpn_1x_coco
In Collection: Guided Anchoring
Config: configs/guided_anchoring/ga_rpn_r50_caffe_fpn_1x_coco.py
Metadata:
Training Memory (GB): 5.3
inference time (ms/im):
- value: 63.29
hardware: V100
backend: PyTorch
batch size: 1
mode: FP32
resolution: (800, 1333)
Epochs: 12
Results:
- Task: Region Proposal
Dataset: COCO
Metrics:
AR@1000: 68.4
Weights: https://download.openmmlab.com/mmdetection/v2.0/guided_anchoring/ga_rpn_r50_caffe_fpn_1x_coco/ga_rpn_r50_caffe_fpn_1x_coco_20200531-899008a6.pth
- Name: ga_rpn_r101_caffe_fpn_1x_coco
In Collection: Guided Anchoring
Config: configs/guided_anchoring/ga_rpn_r101_caffe_fpn_1x_coco.py
Metadata:
Training Memory (GB): 7.3
inference time (ms/im):
- value: 76.92
hardware: V100
backend: PyTorch
batch size: 1
mode: FP32
resolution: (800, 1333)
Epochs: 12
Results:
- Task: Region Proposal
Dataset: COCO
Metrics:
AR@1000: 69.5
Weights: https://download.openmmlab.com/mmdetection/v2.0/guided_anchoring/ga_rpn_r101_caffe_fpn_1x_coco/ga_rpn_r101_caffe_fpn_1x_coco_20200531-ca9ba8fb.pth
- Name: ga_rpn_x101_32x4d_fpn_1x_coco
In Collection: Guided Anchoring
Config: configs/guided_anchoring/ga_rpn_x101_32x4d_fpn_1x_coco.py
Metadata:
Training Memory (GB): 8.5
inference time (ms/im):
- value: 100
hardware: V100
backend: PyTorch
batch size: 1
mode: FP32
resolution: (800, 1333)
Epochs: 12
Results:
- Task: Region Proposal
Dataset: COCO
Metrics:
AR@1000: 70.6
Weights: https://download.openmmlab.com/mmdetection/v2.0/guided_anchoring/ga_rpn_x101_32x4d_fpn_1x_coco/ga_rpn_x101_32x4d_fpn_1x_coco_20200220-c28d1b18.pth
- Name: ga_rpn_x101_64x4d_fpn_1x_coco
In Collection: Guided Anchoring
Config: configs/guided_anchoring/ga_rpn_x101_64x4d_fpn_1x_coco.py
Metadata:
Training Memory (GB): 7.1
inference time (ms/im):
- value: 133.33
hardware: V100
backend: PyTorch
batch size: 1
mode: FP32
resolution: (800, 1333)
Epochs: 12
Results:
- Task: Region Proposal
Dataset: COCO
Metrics:
AR@1000: 70.6
Weights: https://download.openmmlab.com/mmdetection/v2.0/guided_anchoring/ga_rpn_x101_64x4d_fpn_1x_coco/ga_rpn_x101_64x4d_fpn_1x_coco_20200225-3c6e1aa2.pth
- Name: ga_faster_r50_caffe_fpn_1x_coco
In Collection: Guided Anchoring
Config: configs/guided_anchoring/ga_faster_r50_caffe_fpn_1x_coco.py
Metadata:
Training Memory (GB): 5.5
Epochs: 12
Results:
- Task: Object Detection
Dataset: COCO
Metrics:
box AP: 39.6
Weights: https://download.openmmlab.com/mmdetection/v2.0/guided_anchoring/ga_faster_r50_caffe_fpn_1x_coco/ga_faster_r50_caffe_fpn_1x_coco_20200702_000718-a11ccfe6.pth
- Name: ga_faster_r101_caffe_fpn_1x_coco
In Collection: Guided Anchoring
Config: configs/guided_anchoring/ga_faster_r101_caffe_fpn_1x_coco.py
Metadata:
Training Memory (GB): 7.5
Epochs: 12
Results:
- Task: Object Detection
Dataset: COCO
Metrics:
box AP: 41.5
Weights: https://download.openmmlab.com/mmdetection/v2.0/guided_anchoring/ga_faster_r101_caffe_fpn_1x_coco/ga_faster_r101_caffe_fpn_1x_coco_bbox_mAP-0.415_20200505_115528-fb82e499.pth
- Name: ga_faster_x101_32x4d_fpn_1x_coco
In Collection: Guided Anchoring
Config: configs/guided_anchoring/ga_faster_x101_32x4d_fpn_1x_coco.py
Metadata:
Training Memory (GB): 8.7
inference time (ms/im):
- value: 103.09
hardware: V100
backend: PyTorch
batch size: 1
mode: FP32
resolution: (800, 1333)
Epochs: 12
Results:
- Task: Object Detection
Dataset: COCO
Metrics:
box AP: 43.0
Weights: https://download.openmmlab.com/mmdetection/v2.0/guided_anchoring/ga_faster_x101_32x4d_fpn_1x_coco/ga_faster_x101_32x4d_fpn_1x_coco_20200215-1ded9da3.pth
- Name: ga_faster_x101_64x4d_fpn_1x_coco
In Collection: Guided Anchoring
Config: configs/guided_anchoring/ga_faster_x101_64x4d_fpn_1x_coco.py
Metadata:
Training Memory (GB): 11.8
inference time (ms/im):
- value: 136.99
hardware: V100
backend: PyTorch
batch size: 1
mode: FP32
resolution: (800, 1333)
Epochs: 12
Results:
- Task: Object Detection
Dataset: COCO
Metrics:
box AP: 43.9
Weights: https://download.openmmlab.com/mmdetection/v2.0/guided_anchoring/ga_faster_x101_64x4d_fpn_1x_coco/ga_faster_x101_64x4d_fpn_1x_coco_20200215-0fa7bde7.pth
- Name: ga_retinanet_r50_caffe_fpn_1x_coco
In Collection: Guided Anchoring
Config: configs/guided_anchoring/ga_retinanet_r50_caffe_fpn_1x_coco.py
Metadata:
Training Memory (GB): 3.5
inference time (ms/im):
- value: 59.52
hardware: V100
backend: PyTorch
batch size: 1
mode: FP32
resolution: (800, 1333)
Epochs: 12
Results:
- Task: Object Detection
Dataset: COCO
Metrics:
box AP: 36.9
Weights: https://download.openmmlab.com/mmdetection/v2.0/guided_anchoring/ga_retinanet_r50_caffe_fpn_1x_coco/ga_retinanet_r50_caffe_fpn_1x_coco_20201020-39581c6f.pth
- Name: ga_retinanet_r101_caffe_fpn_1x_coco
In Collection: Guided Anchoring
Config: configs/guided_anchoring/ga_retinanet_r101_caffe_fpn_1x_coco.py
Metadata:
Training Memory (GB): 5.5
inference time (ms/im):
- value: 77.52
hardware: V100
backend: PyTorch
batch size: 1
mode: FP32
resolution: (800, 1333)
Epochs: 12
Results:
- Task: Object Detection
Dataset: COCO
Metrics:
box AP: 39.0
Weights: https://download.openmmlab.com/mmdetection/v2.0/guided_anchoring/ga_retinanet_r101_caffe_fpn_1x_coco/ga_retinanet_r101_caffe_fpn_1x_coco_20200531-6266453c.pth
- Name: ga_retinanet_x101_32x4d_fpn_1x_coco
In Collection: Guided Anchoring
Config: configs/guided_anchoring/ga_retinanet_x101_32x4d_fpn_1x_coco.py
Metadata:
Training Memory (GB): 6.9
inference time (ms/im):
- value: 94.34
hardware: V100
backend: PyTorch
batch size: 1
mode: FP32
resolution: (800, 1333)
Epochs: 12
Results:
- Task: Object Detection
Dataset: COCO
Metrics:
box AP: 40.5
Weights: https://download.openmmlab.com/mmdetection/v2.0/guided_anchoring/ga_retinanet_x101_32x4d_fpn_1x_coco/ga_retinanet_x101_32x4d_fpn_1x_coco_20200219-40c56caa.pth
- Name: ga_retinanet_x101_64x4d_fpn_1x_coco
In Collection: Guided Anchoring
Config: configs/guided_anchoring/ga_retinanet_x101_64x4d_fpn_1x_coco.py
Metadata:
Training Memory (GB): 9.9
inference time (ms/im):
- value: 129.87
hardware: V100
backend: PyTorch
batch size: 1
mode: FP32
resolution: (800, 1333)
Epochs: 12
Results:
- Task: Object Detection
Dataset: COCO
Metrics:
box AP: 41.3
Weights: https://download.openmmlab.com/mmdetection/v2.0/guided_anchoring/ga_retinanet_x101_64x4d_fpn_1x_coco/ga_retinanet_x101_64x4d_fpn_1x_coco_20200226-ef9f7f1f.pth
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