metafile.yml
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Collections:
- Name: Sparse R-CNN
Metadata:
Training Data: COCO
Training Techniques:
- SGD with Momentum
- Weight Decay
Training Resources: 8x V100 GPUs
Architecture:
- FPN
- ResNet
- Sparse R-CNN
Paper:
URL: https://arxiv.org/abs/2011.12450
Title: 'Sparse R-CNN: End-to-End Object Detection with Learnable Proposals'
README: configs/sparse_rcnn/README.md
Code:
URL: https://github.com/open-mmlab/mmdetection/blob/v2.9.0/mmdet/models/detectors/sparse_rcnn.py#L6
Version: v2.9.0
Models:
- Name: sparse_rcnn_r50_fpn_1x_coco
In Collection: Sparse R-CNN
Config: configs/sparse_rcnn/sparse_rcnn_r50_fpn_1x_coco.py
Metadata:
Epochs: 12
Results:
- Task: Object Detection
Dataset: COCO
Metrics:
box AP: 37.9
Weights: https://download.openmmlab.com/mmdetection/v2.0/sparse_rcnn/sparse_rcnn_r50_fpn_1x_coco/sparse_rcnn_r50_fpn_1x_coco_20201222_214453-dc79b137.pth
- Name: sparse_rcnn_r50_fpn_mstrain_480-800_3x_coco
In Collection: Sparse R-CNN
Config: configs/sparse_rcnn/sparse_rcnn_r50_fpn_mstrain_480-800_3x_coco.py
Metadata:
Epochs: 36
Results:
- Task: Object Detection
Dataset: COCO
Metrics:
box AP: 42.8
Weights: https://download.openmmlab.com/mmdetection/v2.0/sparse_rcnn/sparse_rcnn_r50_fpn_mstrain_480-800_3x_coco/sparse_rcnn_r50_fpn_mstrain_480-800_3x_coco_20201218_154234-7bc5c054.pth
- Name: sparse_rcnn_r50_fpn_300_proposals_crop_mstrain_480-800_3x_coco
In Collection: Sparse R-CNN
Config: configs/sparse_rcnn/sparse_rcnn_r50_fpn_300_proposals_crop_mstrain_480-800_3x_coco.py
Metadata:
Epochs: 36
Results:
- Task: Object Detection
Dataset: COCO
Metrics:
box AP: 45.0
Weights: https://download.openmmlab.com/mmdetection/v2.0/sparse_rcnn/sparse_rcnn_r50_fpn_300_proposals_crop_mstrain_480-800_3x_coco/sparse_rcnn_r50_fpn_300_proposals_crop_mstrain_480-800_3x_coco_20201223_024605-9fe92701.pth
- Name: sparse_rcnn_r101_fpn_mstrain_480-800_3x_coco
In Collection: Sparse R-CNN
Config: configs/sparse_rcnn/sparse_rcnn_r101_fpn_mstrain_480-800_3x_coco.py
Metadata:
Epochs: 36
Results:
- Task: Object Detection
Dataset: COCO
Metrics:
box AP: 44.2
Weights: https://download.openmmlab.com/mmdetection/v2.0/sparse_rcnn/sparse_rcnn_r101_fpn_mstrain_480-800_3x_coco/sparse_rcnn_r101_fpn_mstrain_480-800_3x_coco_20201223_121552-6c46c9d6.pth
- Name: sparse_rcnn_r101_fpn_300_proposals_crop_mstrain_480-800_3x_coco
In Collection: Sparse R-CNN
Config: configs/sparse_rcnn/sparse_rcnn_r101_fpn_300_proposals_crop_mstrain_480-800_3x_coco.py
Metadata:
Epochs: 36
Results:
- Task: Object Detection
Dataset: COCO
Metrics:
box AP: 46.2
Weights: https://download.openmmlab.com/mmdetection/v2.0/sparse_rcnn/sparse_rcnn_r101_fpn_300_proposals_crop_mstrain_480-800_3x_coco/sparse_rcnn_r101_fpn_300_proposals_crop_mstrain_480-800_3x_coco_20201223_023452-c23c3564.pth