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