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Collections:
- Name: Label Assignment Distillation
Metadata:
Training Data: COCO
Training Techniques:
- Label Assignment Distillation
- SGD with Momentum
- Weight Decay
Training Resources: 2x V100 GPUs
Architecture:
- FPN
- ResNet
Paper:
URL: https://arxiv.org/abs/2108.10520
Title: 'Improving Object Detection by Label Assignment Distillation'
README: configs/lad/README.md
Code:
URL: https://github.com/open-mmlab/mmdetection/blob/v2.19.0/mmdet/models/detectors/lad.py#L10
Version: v2.19.0
Models:
- Name: lad_r101_paa_r50_fpn_coco_1x
In Collection: Label Assignment Distillation
Config: configs/lad/lad_r101_paa_r50_fpn_coco_1x.py
Metadata:
Training Memory (GB): 12.4
Epochs: 12
Results:
- Task: Object Detection
Dataset: COCO
Metrics:
box AP: 43.2
Weights: https://download.openmmlab.com/mmdetection/v2.0/lad/lad_r101_paa_r50_fpn_coco_1x/lad_r101_paa_r50_fpn_coco_1x_20220708_124357-9407ac54.pth
- Name: lad_r50_paa_r101_fpn_coco_1x
In Collection: Label Assignment Distillation
Config: configs/lad/lad_r50_paa_r101_fpn_coco_1x.py
Metadata:
Training Memory (GB): 8.9
Epochs: 12
Results:
- Task: Object Detection
Dataset: COCO
Metrics:
box AP: 41.4
Weights: https://download.openmmlab.com/mmdetection/v2.0/lad/lad_r50_paa_r101_fpn_coco_1x/lad_r50_paa_r101_fpn_coco_1x_20220708_124246-74c76ff0.pth
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