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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
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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