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[Doc]: Add metafile of ConditionalDETR, DABDETR, and DINO (open-mmlab#9715)
Co-authored-by: lym <[email protected]> Co-authored-by: Qingyun <[email protected]> Co-authored-by: RangiLyu <[email protected]>
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Collections:
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- Name: Conditional DETR
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Metadata:
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Training Data: COCO
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Training Techniques:
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- AdamW
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- Multi Scale Train
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- Gradient Clip
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Training Resources: 8x A100 GPUs
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Architecture:
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- ResNet
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- Transformer
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Paper:
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URL: https://arxiv.org/abs/2108.06152
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Title: 'Conditional DETR for Fast Training Convergence'
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README: configs/conditional_detr/README.md
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Code:
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URL: https://github.com/open-mmlab/mmdetection/blob/f4112c9e5611468ffbd57cfba548fd1289264b52/mmdet/models/detectors/conditional_detr.py#L14
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Version: v3.0.0rc6
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Models:
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- Name: conditional-detr_r50_8xb2-50e_coco.py
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In Collection: Conditional DETR
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Config: configs/conditional_detr/conditional-detr_r50_8xb2-50e_coco.py
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Metadata:
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Epochs: 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: 40.9
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Weights: https://download.openmmlab.com/mmdetection/v3.0/conditional_detr/conditional-detr_r50_8xb2-50e_coco/conditional-detr_r50_8xb2-50e_coco_20221121_180202-c83a1dc0.pth

configs/dab_detr/metafile.yml

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Collections:
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- Name: DAB-DETR
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Metadata:
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Training Data: COCO
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Training Techniques:
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- AdamW
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- Multi Scale Train
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- Gradient Clip
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Training Resources: 8x A100 GPUs
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Architecture:
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- ResNet
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- Transformer
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Paper:
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URL: https://arxiv.org/abs/2201.12329
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Title: 'DAB-DETR: Dynamic Anchor Boxes are Better Queries for DETR'
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README: configs/dab_detr/README.md
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Code:
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URL: https://github.com/open-mmlab/mmdetection/blob/f4112c9e5611468ffbd57cfba548fd1289264b52/mmdet/models/detectors/dab_detr.py#L15
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Version: v3.0.0rc6
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Models:
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- Name: dab-detr_r50_8xb2-50e_coco.py
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In Collection: DAB-DETR
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Config: configs/dab_detr/dab-detr_r50_8xb2-50e_coco.py
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Metadata:
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Epochs: 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: 42.3
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Weights: https://download.openmmlab.com/mmdetection/v3.0/dab_detr/dab-detr_r50_8xb2-50e_coco/dab-detr_r50_8xb2-50e_coco_20221122_120837-c1035c8c.pth

configs/dino/metafile.yml

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Collections:
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- Name: DINO
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Metadata:
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Training Data: COCO
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Training Techniques:
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- AdamW
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- Multi Scale Train
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- Gradient Clip
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Training Resources: 8x A100 GPUs
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Architecture:
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- ResNet
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- Transformer
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Paper:
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URL: https://arxiv.org/abs/2203.03605
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Title: 'DINO: DETR with Improved DeNoising Anchor Boxes for End-to-End Object Detection'
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README: configs/dino/README.md
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Code:
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URL: https://github.com/open-mmlab/mmdetection/blob/f4112c9e5611468ffbd57cfba548fd1289264b52/mmdet/models/detectors/dino.py#L17
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Version: v3.0.0rc6
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Models:
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- Name: dino-4scale_r50_8xb2-12e_coco.py
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In Collection: DINO
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Config: configs/dino/dino-4scale_r50_8xb2-12e_coco.py
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Metadata:
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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: 49.0
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Weights: https://download.openmmlab.com/mmdetection/v3.0/dino/dino-4scale_r50_8xb2-12e_coco/dino-4scale_r50_8xb2-12e_coco_20221202_182705-55b2bba2.pth
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- Name: dino-4scale_r50_8xb2-24e_coco.py
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In Collection: DINO
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Config: configs/dino/dino-4scale_r50_8xb2-24e_coco.py
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Metadata:
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Epochs: 24
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Results:
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- Task: Object Detection
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Dataset: COCO
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- Name: dino-4scale_r50_8xb2-24e_coco.py
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In Collection: DINO
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Config: configs/dino/dino-4scale_r50_8xb2-36e_coco.py
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Metadata:
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Epochs: 36
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Results:
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- Task: Object Detection
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Dataset: COCO

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