43 lines
1.1 KiB
YAML
43 lines
1.1 KiB
YAML
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: 8x 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_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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Teacher: R-101
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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: 41.6
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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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Teacher: R-50
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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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