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