OpenMMLab Detection Toolbox and Benchmark
https://mmdetection.readthedocs.io/
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146 lines
4.8 KiB
146 lines
4.8 KiB
Models: |
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- Name: faster_rcnn_r2_101_fpn_2x_coco |
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In Collection: Faster R-CNN |
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Config: configs/res2net/faster_rcnn_r2_101_fpn_2x_coco.py |
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Metadata: |
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Training Memory (GB): 7.4 |
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Epochs: 24 |
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Training Data: COCO |
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Training Techniques: |
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- SGD with Momentum |
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- Weight Decay |
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Training Resources: 8x V100 GPUs |
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Architecture: |
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- Res2Net |
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Results: |
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- Task: Object Detection |
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Dataset: COCO |
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Metrics: |
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box AP: 43.0 |
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Weights: https://download.openmmlab.com/mmdetection/v2.0/res2net/faster_rcnn_r2_101_fpn_2x_coco/faster_rcnn_r2_101_fpn_2x_coco-175f1da6.pth |
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Paper: |
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URL: https://arxiv.org/abs/1904.01169 |
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Title: 'Res2Net for object detection and instance segmentation' |
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README: configs/res2net/README.md |
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Code: |
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URL: https://github.com/open-mmlab/mmdetection/blob/v2.1.0/mmdet/models/backbones/res2net.py#L239 |
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Version: v2.1.0 |
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- Name: mask_rcnn_r2_101_fpn_2x_coco |
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In Collection: Mask R-CNN |
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Config: configs/res2net/mask_rcnn_r2_101_fpn_2x_coco.py |
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Metadata: |
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Training Memory (GB): 7.9 |
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Epochs: 24 |
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Training Data: COCO |
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Training Techniques: |
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- SGD with Momentum |
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- Weight Decay |
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Training Resources: 8x V100 GPUs |
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Architecture: |
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- Res2Net |
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Results: |
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- Task: Object Detection |
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Dataset: COCO |
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Metrics: |
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box AP: 43.6 |
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- Task: Instance Segmentation |
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Dataset: COCO |
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Metrics: |
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mask AP: 38.7 |
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Weights: https://download.openmmlab.com/mmdetection/v2.0/res2net/mask_rcnn_r2_101_fpn_2x_coco/mask_rcnn_r2_101_fpn_2x_coco-17f061e8.pth |
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Paper: |
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URL: https://arxiv.org/abs/1904.01169 |
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Title: 'Res2Net for object detection and instance segmentation' |
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README: configs/res2net/README.md |
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Code: |
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URL: https://github.com/open-mmlab/mmdetection/blob/v2.1.0/mmdet/models/backbones/res2net.py#L239 |
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Version: v2.1.0 |
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- Name: cascade_rcnn_r2_101_fpn_20e_coco |
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In Collection: Cascade R-CNN |
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Config: configs/res2net/cascade_rcnn_r2_101_fpn_20e_coco.py |
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Metadata: |
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Training Memory (GB): 7.8 |
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Epochs: 20 |
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Training Data: COCO |
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Training Techniques: |
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- SGD with Momentum |
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- Weight Decay |
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Training Resources: 8x V100 GPUs |
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Architecture: |
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- Res2Net |
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Results: |
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- Task: Object Detection |
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Dataset: COCO |
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Metrics: |
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box AP: 45.7 |
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Weights: https://download.openmmlab.com/mmdetection/v2.0/res2net/cascade_rcnn_r2_101_fpn_20e_coco/cascade_rcnn_r2_101_fpn_20e_coco-f4b7b7db.pth |
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Paper: |
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URL: https://arxiv.org/abs/1904.01169 |
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Title: 'Res2Net for object detection and instance segmentation' |
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README: configs/res2net/README.md |
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Code: |
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URL: https://github.com/open-mmlab/mmdetection/blob/v2.1.0/mmdet/models/backbones/res2net.py#L239 |
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Version: v2.1.0 |
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- Name: cascade_mask_rcnn_r2_101_fpn_20e_coco |
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In Collection: Cascade R-CNN |
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Config: configs/res2net/cascade_mask_rcnn_r2_101_fpn_20e_coco.py |
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Metadata: |
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Training Memory (GB): 9.5 |
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Epochs: 20 |
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Training Data: COCO |
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Training Techniques: |
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- SGD with Momentum |
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- Weight Decay |
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Training Resources: 8x V100 GPUs |
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Architecture: |
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- Res2Net |
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Results: |
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- Task: Object Detection |
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Dataset: COCO |
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Metrics: |
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box AP: 46.4 |
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- Task: Instance Segmentation |
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Dataset: COCO |
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Metrics: |
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mask AP: 40.0 |
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Weights: https://download.openmmlab.com/mmdetection/v2.0/res2net/cascade_mask_rcnn_r2_101_fpn_20e_coco/cascade_mask_rcnn_r2_101_fpn_20e_coco-8a7b41e1.pth |
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Paper: |
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URL: https://arxiv.org/abs/1904.01169 |
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Title: 'Res2Net for object detection and instance segmentation' |
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README: configs/res2net/README.md |
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Code: |
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URL: https://github.com/open-mmlab/mmdetection/blob/v2.1.0/mmdet/models/backbones/res2net.py#L239 |
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Version: v2.1.0 |
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- Name: htc_r2_101_fpn_20e_coco |
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In Collection: HTC |
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Config: configs/res2net/htc_r2_101_fpn_20e_coco.py |
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Metadata: |
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Epochs: 20 |
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Training Data: COCO |
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Training Techniques: |
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- SGD with Momentum |
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- Weight Decay |
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Training Resources: 8x V100 GPUs |
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Architecture: |
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- Res2Net |
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Results: |
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- Task: Object Detection |
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Dataset: COCO |
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Metrics: |
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box AP: 47.5 |
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- Task: Instance Segmentation |
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Dataset: COCO |
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Metrics: |
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mask AP: 41.6 |
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Weights: https://download.openmmlab.com/mmdetection/v2.0/res2net/htc_r2_101_fpn_20e_coco/htc_r2_101_fpn_20e_coco-3a8d2112.pth |
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Paper: |
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URL: https://arxiv.org/abs/1904.01169 |
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Title: 'Res2Net for object detection and instance segmentation' |
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README: configs/res2net/README.md |
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Code: |
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URL: https://github.com/open-mmlab/mmdetection/blob/v2.1.0/mmdet/models/backbones/res2net.py#L239 |
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Version: v2.1.0
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