metafile.yml 2.8 KB

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  1. Collections:
  2. - Name: MobileOne
  3. Metadata:
  4. Training Data: ImageNet-1k
  5. Architecture:
  6. - re-parameterization Convolution
  7. - VGG-style Neural Network
  8. - Depthwise Convolution
  9. - Pointwise Convolution
  10. Paper:
  11. URL: https://arxiv.org/abs/2206.04040
  12. Title: 'An Improved One millisecond Mobile Backbone'
  13. README: configs/mobileone/README.md
  14. Code:
  15. URL: https://github.com/open-mmlab/mmpretrain/blob/v1.0.0rc1/configs/mobileone/metafile.yml
  16. Version: v1.0.0rc1
  17. Models:
  18. - Name: mobileone-s0_8xb32_in1k
  19. In Collection: MobileOne
  20. Config: configs/mobileone/mobileone-s0_8xb32_in1k.py
  21. Metadata:
  22. FLOPs: 274136576 # 0.27G
  23. Parameters: 2078504 # 2.08M
  24. Results:
  25. - Dataset: ImageNet-1k
  26. Task: Image Classification
  27. Metrics:
  28. Top 1 Accuracy: 71.34
  29. Top 5 Accuracy: 89.87
  30. Weights: https://download.openmmlab.com/mmclassification/v0/mobileone/mobileone-s0_8xb32_in1k_20221110-0bc94952.pth
  31. - Name: mobileone-s1_8xb32_in1k
  32. In Collection: MobileOne
  33. Config: configs/mobileone/mobileone-s1_8xb32_in1k.py
  34. Metadata:
  35. FLOPs: 823839744 # 8.6G
  36. Parameters: 4764840 # 4.82M
  37. Results:
  38. - Dataset: ImageNet-1k
  39. Task: Image Classification
  40. Metrics:
  41. Top 1 Accuracy: 75.72
  42. Top 5 Accuracy: 92.54
  43. Weights: https://download.openmmlab.com/mmclassification/v0/mobileone/mobileone-s1_8xb32_in1k_20221110-ceeef467.pth
  44. - Name: mobileone-s2_8xb32_in1k
  45. In Collection: MobileOne
  46. Config: configs/mobileone/mobileone-s2_8xb32_in1k.py
  47. Metadata:
  48. FLOPs: 1296478848
  49. Parameters: 7808168
  50. Results:
  51. - Dataset: ImageNet-1k
  52. Task: Image Classification
  53. Metrics:
  54. Top 1 Accuracy: 77.37
  55. Top 5 Accuracy: 93.34
  56. Weights: https://download.openmmlab.com/mmclassification/v0/mobileone/mobileone-s2_8xb32_in1k_20221110-9c7ecb97.pth
  57. - Name: mobileone-s3_8xb32_in1k
  58. In Collection: MobileOne
  59. Config: configs/mobileone/mobileone-s3_8xb32_in1k.py
  60. Metadata:
  61. FLOPs: 1893842944
  62. Parameters: 10078312
  63. Results:
  64. - Dataset: ImageNet-1k
  65. Task: Image Classification
  66. Metrics:
  67. Top 1 Accuracy: 78.06
  68. Top 5 Accuracy: 93.83
  69. Weights: https://download.openmmlab.com/mmclassification/v0/mobileone/mobileone-s3_8xb32_in1k_20221110-c95eb3bf.pth
  70. - Name: mobileone-s4_8xb32_in1k
  71. In Collection: MobileOne
  72. Config: configs/mobileone/mobileone-s4_8xb32_in1k.py
  73. Metadata:
  74. FLOPs: 2979222528
  75. Parameters: 14838352
  76. Results:
  77. - Dataset: ImageNet-1k
  78. Task: Image Classification
  79. Metrics:
  80. Top 1 Accuracy: 79.69
  81. Top 5 Accuracy: 94.46
  82. Weights: https://download.openmmlab.com/mmclassification/v0/mobileone/mobileone-s4_8xb32_in1k_20221110-28d888cb.pth