metafile.yml 2.5 KB

1234567891011121314151617181920212223242526272829303132333435363738394041424344454647484950515253545556575859606162636465666768697071
  1. Collections:
  2. - Name: DaViT
  3. Metadata:
  4. Architecture:
  5. - GELU
  6. - Layer Normalization
  7. - Multi-Head Attention
  8. - Scaled Dot-Product Attention
  9. Paper:
  10. URL: https://arxiv.org/abs/2204.03645v1
  11. Title: 'DaViT: Dual Attention Vision Transformers'
  12. README: configs/davit/README.md
  13. Code:
  14. URL: https://github.com/open-mmlab/mmpretrain/blob/v1.0.0rc3/mmcls/models/backbones/davit.py
  15. Version: v1.0.0rc3
  16. Models:
  17. - Name: davit-tiny_3rdparty_in1k
  18. In Collection: DaViT
  19. Metadata:
  20. FLOPs: 4539698688
  21. Parameters: 28360168
  22. Training Data:
  23. - ImageNet-1k
  24. Results:
  25. - Dataset: ImageNet-1k
  26. Task: Image Classification
  27. Metrics:
  28. Top 1 Accuracy: 82.24
  29. Top 5 Accuracy: 96.13
  30. Weights: https://download.openmmlab.com/mmclassification/v0/davit/davit-tiny_3rdparty_in1k_20221116-700fdf7d.pth
  31. Converted From:
  32. Weights: https://drive.google.com/file/d/1RSpi3lxKaloOL5-or20HuG975tbPwxRZ/view?usp=sharing
  33. Code: https://github.com/dingmyu/davit/blob/main/mmdet/mmdet/models/backbones/davit.py#L355
  34. Config: configs/davit/davit-tiny_4xb256_in1k.py
  35. - Name: davit-small_3rdparty_in1k
  36. In Collection: DaViT
  37. Metadata:
  38. FLOPs: 8799942144
  39. Parameters: 49745896
  40. Training Data:
  41. - ImageNet-1k
  42. Results:
  43. - Dataset: ImageNet-1k
  44. Task: Image Classification
  45. Metrics:
  46. Top 1 Accuracy: 83.61
  47. Top 5 Accuracy: 96.75
  48. Weights: https://download.openmmlab.com/mmclassification/v0/davit/davit-small_3rdparty_in1k_20221116-51a849a6.pth
  49. Converted From:
  50. Weights: https://drive.google.com/file/d/1q976ruj45mt0RhO9oxhOo6EP_cmj4ahQ/view?usp=sharing
  51. Code: https://github.com/dingmyu/davit/blob/main/mmdet/mmdet/models/backbones/davit.py#L355
  52. Config: configs/davit/davit-small_4xb256_in1k.py
  53. - Name: davit-base_3rdparty_in1k
  54. In Collection: DaViT
  55. Metadata:
  56. FLOPs: 15509702656
  57. Parameters: 87954408
  58. Training Data:
  59. - ImageNet-1k
  60. Results:
  61. - Dataset: ImageNet-1k
  62. Task: Image Classification
  63. Metrics:
  64. Top 1 Accuracy: 84.09
  65. Top 5 Accuracy: 96.82
  66. Weights: https://download.openmmlab.com/mmclassification/v0/davit/davit-base_3rdparty_in1k_20221116-19e0d956.pth
  67. Converted From:
  68. Weights: https://drive.google.com/file/d/1u9sDBEueB-YFuLigvcwf4b2YyA4MIVsZ/view?usp=sharing
  69. Code: https://github.com/dingmyu/davit/blob/main/mmdet/mmdet/models/backbones/davit.py#L355
  70. Config: configs/davit/davit-base_4xb256_in1k.py