metafile.yml 1.0 KB

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  1. Collections:
  2. - Name: DAB-DETR
  3. Metadata:
  4. Training Data: COCO
  5. Training Techniques:
  6. - AdamW
  7. - Multi Scale Train
  8. - Gradient Clip
  9. Training Resources: 8x A100 GPUs
  10. Architecture:
  11. - ResNet
  12. - Transformer
  13. Paper:
  14. URL: https://arxiv.org/abs/2201.12329
  15. Title: 'DAB-DETR: Dynamic Anchor Boxes are Better Queries for DETR'
  16. README: configs/dab_detr/README.md
  17. Code:
  18. URL: https://github.com/open-mmlab/mmdetection/blob/f4112c9e5611468ffbd57cfba548fd1289264b52/mmdet/models/detectors/dab_detr.py#L15
  19. Version: v3.0.0rc6
  20. Models:
  21. - Name: dab-detr_r50_8xb2-50e_coco.py
  22. In Collection: DAB-DETR
  23. Config: configs/dab_detr/dab-detr_r50_8xb2-50e_coco.py
  24. Metadata:
  25. Epochs: 50
  26. Results:
  27. - Task: Object Detection
  28. Dataset: COCO
  29. Metrics:
  30. box AP: 42.3
  31. 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