metafile.yml 2.3 KB

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  1. Collections:
  2. - Name: DINO
  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/2203.03605
  15. Title: 'DINO: DETR with Improved DeNoising Anchor Boxes for End-to-End Object Detection'
  16. README: configs/dino/README.md
  17. Code:
  18. URL: https://github.com/open-mmlab/mmdetection/blob/f4112c9e5611468ffbd57cfba548fd1289264b52/mmdet/models/detectors/dino.py#L17
  19. Version: v3.0.0rc6
  20. Models:
  21. - Name: dino-4scale_r50_8xb2-12e_coco.py
  22. In Collection: DINO
  23. Config: configs/dino/dino-4scale_r50_8xb2-12e_coco.py
  24. Metadata:
  25. Epochs: 12
  26. Results:
  27. - Task: Object Detection
  28. Dataset: COCO
  29. Metrics:
  30. box AP: 49.0
  31. 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
  32. - Name: dino-4scale_r50_8xb2-24e_coco.py
  33. In Collection: DINO
  34. Config: configs/dino/dino-4scale_r50_8xb2-24e_coco.py
  35. Metadata:
  36. Epochs: 24
  37. Results:
  38. - Task: Object Detection
  39. Dataset: COCO
  40. - Name: dino-4scale_r50_8xb2-24e_coco.py
  41. In Collection: DINO
  42. Config: configs/dino/dino-4scale_r50_8xb2-36e_coco.py
  43. Metadata:
  44. Epochs: 36
  45. Results:
  46. - Task: Object Detection
  47. Dataset: COCO
  48. - Name: dino-5scale_swin-l_8xb2-12e_coco.py
  49. In Collection: DINO
  50. Config: configs/dino/dino-5scale_swin-l_8xb2-12e_coco.py
  51. Metadata:
  52. Epochs: 12
  53. Results:
  54. - Task: Object Detection
  55. Dataset: COCO
  56. Metrics:
  57. box AP: 57.2
  58. Weights: https://download.openmmlab.com/mmdetection/v3.0/dino/dino-5scale_swin-l_8xb2-12e_coco/dino-5scale_swin-l_8xb2-12e_coco_20230228_072924-a654145f.pth
  59. - Name: dino-5scale_swin-l_8xb2-36e_coco.py
  60. In Collection: DINO
  61. Config: configs/dino/dino-5scale_swin-l_8xb2-36e_coco.py
  62. Metadata:
  63. Epochs: 36
  64. Results:
  65. - Task: Object Detection
  66. Dataset: COCO
  67. Metrics:
  68. box AP: 58.4
  69. Weights: https://github.com/RistoranteRist/mmlab-weights/releases/download/dino-swinl/dino-5scale_swin-l_8xb2-36e_coco-5486e051.pth