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