OpenMMLab Detection Toolbox and Benchmark
https://mmdetection.readthedocs.io/
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45 lines
1.5 KiB
45 lines
1.5 KiB
Collections: |
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- Name: Label Assignment Distillation |
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Metadata: |
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Training Data: COCO |
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Training Techniques: |
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- Label Assignment Distillation |
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- SGD with Momentum |
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- Weight Decay |
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Training Resources: 2x V100 GPUs |
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Architecture: |
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- FPN |
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- ResNet |
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Paper: |
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URL: https://arxiv.org/abs/2108.10520 |
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Title: 'Improving Object Detection by Label Assignment Distillation' |
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README: configs/lad/README.md |
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Code: |
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URL: https://github.com/open-mmlab/mmdetection/blob/v2.19.0/mmdet/models/detectors/lad.py#L10 |
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Version: v2.19.0 |
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Models: |
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- Name: lad_r101_paa_r50_fpn_coco_1x |
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In Collection: Label Assignment Distillation |
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Config: configs/lad/lad_r101_paa_r50_fpn_coco_1x.py |
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Metadata: |
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Training Memory (GB): 12.4 |
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Epochs: 12 |
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Results: |
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- Task: Object Detection |
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Dataset: COCO |
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Metrics: |
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box AP: 43.2 |
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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 |
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- Name: lad_r50_paa_r101_fpn_coco_1x |
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In Collection: Label Assignment Distillation |
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Config: configs/lad/lad_r50_paa_r101_fpn_coco_1x.py |
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Metadata: |
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Training Memory (GB): 8.9 |
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Epochs: 12 |
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Results: |
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- Task: Object Detection |
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Dataset: COCO |
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Metrics: |
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box AP: 41.4 |
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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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