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- Collections:
- - Name: AutoAssign
- Metadata:
- Training Data: COCO
- Training Techniques:
- - SGD with Momentum
- - Weight Decay
- Training Resources: 8x V100 GPUs
- Architecture:
- - AutoAssign
- - FPN
- - ResNet
- Paper:
- URL: https://arxiv.org/abs/2007.03496
- Title: 'AutoAssign: Differentiable Label Assignment for Dense Object Detection'
- README: configs/autoassign/README.md
- Code:
- URL: https://github.com/open-mmlab/mmdetection/blob/v2.12.0/mmdet/models/detectors/autoassign.py#L6
- Version: v2.12.0
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- Models:
- - Name: autoassign_r50_fpn_8x2_1x_coco
- In Collection: AutoAssign
- Config: configs/autoassign/autoassign_r50_fpn_8x2_1x_coco.py
- Metadata:
- Training Memory (GB): 4.08
- Epochs: 12
- Results:
- - Task: Object Detection
- Dataset: COCO
- Metrics:
- box AP: 40.4
- Weights: https://download.openmmlab.com/mmdetection/v2.0/autoassign/auto_assign_r50_fpn_1x_coco/auto_assign_r50_fpn_1x_coco_20210413_115540-5e17991f.pth
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