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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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