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- Collections:
- - Name: RepPoints
- Metadata:
- Training Data: COCO
- Training Techniques:
- - SGD with Momentum
- - Weight Decay
- Training Resources: 8x V100 GPUs
- Architecture:
- - Group Normalization
- - FPN
- - RepPoints
- - ResNet
- Paper:
- URL: https://arxiv.org/abs/1904.11490
- Title: 'RepPoints: Point Set Representation for Object Detection'
- README: configs/reppoints/README.md
- Code:
- URL: https://github.com/open-mmlab/mmdetection/blob/v2.0.0/mmdet/models/detectors/reppoints_detector.py#L9
- Version: v2.0.0
-
- Models:
- - Name: bbox_r50_grid_fpn_gn-neck+head_1x_coco
- In Collection: RepPoints
- Config: configs/reppoints/bbox_r50_grid_fpn_gn-neck+head_1x_coco.py
- Metadata:
- Training Memory (GB): 3.9
- inference time (ms/im):
- - value: 62.89
- hardware: V100
- backend: PyTorch
- batch size: 1
- mode: FP32
- resolution: (800, 1333)
- Epochs: 12
- Results:
- - Task: Object Detection
- Dataset: COCO
- Metrics:
- box AP: 36.4
- Weights: https://download.openmmlab.com/mmdetection/v2.0/reppoints/bbox_r50_grid_fpn_gn-neck%2Bhead_1x_coco/bbox_r50_grid_fpn_gn-neck%2Bhead_1x_coco_20200329-c98bfa96.pth
-
- - Name: bbox_r50_grid_center_fpn_gn-neck+Bhead_1x_coco
- In Collection: RepPoints
- Config: configs/reppoints/bbox_r50_grid_center_fpn_gn-neck+Bhead_1x_coco.py
- Metadata:
- Training Memory (GB): 3.9
- inference time (ms/im):
- - value: 64.94
- hardware: V100
- backend: PyTorch
- batch size: 1
- mode: FP32
- resolution: (800, 1333)
- Epochs: 12
- Results:
- - Task: Object Detection
- Dataset: COCO
- Metrics:
- box AP: 37.4
- Weights: https://download.openmmlab.com/mmdetection/v2.0/reppoints/bbox_r50_grid_center_fpn_gn-neck%2Bhead_1x_coco/bbox_r50_grid_center_fpn_gn-neck%2Bhead_1x_coco_20200330-00f73d58.pth
-
- - Name: reppoints_moment_r50_fpn_1x_coco
- In Collection: RepPoints
- Config: configs/reppoints/reppoints_moment_r50_fpn_1x_coco.py
- Metadata:
- Training Memory (GB): 3.3
- inference time (ms/im):
- - value: 54.05
- hardware: V100
- backend: PyTorch
- batch size: 1
- mode: FP32
- resolution: (800, 1333)
- Epochs: 12
- Results:
- - Task: Object Detection
- Dataset: COCO
- Metrics:
- box AP: 37.0
- Weights: https://download.openmmlab.com/mmdetection/v2.0/reppoints/reppoints_moment_r50_fpn_1x_coco/reppoints_moment_r50_fpn_1x_coco_20200330-b73db8d1.pth
-
- - Name: reppoints_moment_r50_fpn_gn-neck%2Bhead_1x_coco
- In Collection: RepPoints
- Config: configs/reppoints/reppoints_moment_r50_fpn_gn-neck%2Bhead_1x_coco.py
- Metadata:
- Training Memory (GB): 3.9
- inference time (ms/im):
- - value: 57.14
- hardware: V100
- backend: PyTorch
- batch size: 1
- mode: FP32
- resolution: (800, 1333)
- Epochs: 12
- Results:
- - Task: Object Detection
- Dataset: COCO
- Metrics:
- box AP: 38.1
- Weights: https://download.openmmlab.com/mmdetection/v2.0/reppoints/reppoints_moment_r50_fpn_gn-neck%2Bhead_1x_coco/reppoints_moment_r50_fpn_gn-neck%2Bhead_1x_coco_20200329-4b38409a.pth
-
- - Name: reppoints_moment_r50_fpn_gn-neck+head_2x_coco
- In Collection: RepPoints
- Config: configs/reppoints/reppoints_moment_r50_fpn_gn-neck+head_2x_coco.py
- Metadata:
- Training Memory (GB): 3.9
- inference time (ms/im):
- - value: 57.14
- hardware: V100
- backend: PyTorch
- batch size: 1
- mode: FP32
- resolution: (800, 1333)
- Epochs: 24
- Results:
- - Task: Object Detection
- Dataset: COCO
- Metrics:
- box AP: 38.6
- Weights: https://download.openmmlab.com/mmdetection/v2.0/reppoints/reppoints_moment_r50_fpn_gn-neck%2Bhead_2x_coco/reppoints_moment_r50_fpn_gn-neck%2Bhead_2x_coco_20200329-91babaa2.pth
-
- - Name: reppoints_moment_r101_fpn_gn-neck+head_2x_coco
- In Collection: RepPoints
- Config: configs/reppoints/reppoints_moment_r101_fpn_gn-neck+head_2x_coco.py
- Metadata:
- Training Memory (GB): 5.8
- inference time (ms/im):
- - value: 72.99
- hardware: V100
- backend: PyTorch
- batch size: 1
- mode: FP32
- resolution: (800, 1333)
- Epochs: 24
- Results:
- - Task: Object Detection
- Dataset: COCO
- Metrics:
- box AP: 40.5
- Weights: https://download.openmmlab.com/mmdetection/v2.0/reppoints/reppoints_moment_r101_fpn_gn-neck%2Bhead_2x_coco/reppoints_moment_r101_fpn_gn-neck%2Bhead_2x_coco_20200329-4fbc7310.pth
-
- - Name: reppoints_moment_r101_fpn_dconv_c3-c5_gn-neck+head_2x_coco
- In Collection: RepPoints
- Config: configs/reppoints/reppoints_moment_r101_fpn_dconv_c3-c5_gn-neck+head_2x_coco.py
- Metadata:
- Training Memory (GB): 5.9
- inference time (ms/im):
- - value: 82.64
- hardware: V100
- backend: PyTorch
- batch size: 1
- mode: FP32
- resolution: (800, 1333)
- Epochs: 24
- Results:
- - Task: Object Detection
- Dataset: COCO
- Metrics:
- box AP: 42.9
- Weights: https://download.openmmlab.com/mmdetection/v2.0/reppoints/reppoints_moment_r101_fpn_dconv_c3-c5_gn-neck%2Bhead_2x_coco/reppoints_moment_r101_fpn_dconv_c3-c5_gn-neck%2Bhead_2x_coco_20200329-3309fbf2.pth
-
- - Name: reppoints_moment_x101_fpn_dconv_c3-c5_gn-neck+head_2x_coco
- In Collection: RepPoints
- Config: configs/reppoints/reppoints_moment_x101_fpn_dconv_c3-c5_gn-neck+head_2x_coco.py
- Metadata:
- Training Memory (GB): 7.1
- inference time (ms/im):
- - value: 107.53
- hardware: V100
- backend: PyTorch
- batch size: 1
- mode: FP32
- resolution: (800, 1333)
- Epochs: 24
- Results:
- - Task: Object Detection
- Dataset: COCO
- Metrics:
- box AP: 44.2
- Weights: https://download.openmmlab.com/mmdetection/v2.0/reppoints/reppoints_moment_x101_fpn_dconv_c3-c5_gn-neck%2Bhead_2x_coco/reppoints_moment_x101_fpn_dconv_c3-c5_gn-neck%2Bhead_2x_coco_20200329-f87da1ea.pth
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