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_2xb8_coco_1x | |
In Collection: Label Assignment Distillation | |
Config: configs/lad/lad_r101-paa-r50_fpn_2xb8_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_2xb8_coco_1x | |
In Collection: Label Assignment Distillation | |
Config: configs/lad/lad_r50-paa-r101_fpn_2xb8_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 | |