metafile.yml 2.6 KB

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  1. Collections:
  2. - Name: Res2Net
  3. Metadata:
  4. Training Data: ImageNet-1k
  5. Training Techniques:
  6. - SGD with Momentum
  7. - Weight Decay
  8. Architecture:
  9. - Batch Normalization
  10. - Convolution
  11. - Global Average Pooling
  12. - ReLU
  13. - Res2Net Block
  14. Paper:
  15. Title: 'Res2Net: A New Multi-scale Backbone Architecture'
  16. URL: https://arxiv.org/abs/1904.01169
  17. README: configs/res2net/README.md
  18. Code:
  19. URL: https://github.com/open-mmlab/mmpretrain/blob/v0.17.0/mmcls/models/backbones/res2net.py
  20. Version: v0.17.0
  21. Models:
  22. - Name: res2net50-w14-s8_3rdparty_8xb32_in1k
  23. Metadata:
  24. FLOPs: 4220000000
  25. Parameters: 25060000
  26. In Collection: Res2Net
  27. Results:
  28. - Dataset: ImageNet-1k
  29. Metrics:
  30. Top 1 Accuracy: 78.14
  31. Top 5 Accuracy: 93.85
  32. Task: Image Classification
  33. Weights: https://download.openmmlab.com/mmclassification/v0/res2net/res2net50-w14-s8_3rdparty_8xb32_in1k_20210927-bc967bf1.pth
  34. Converted From:
  35. Weights: https://1drv.ms/u/s!AkxDDnOtroRPdOTqhF8ne_aakDI?e=EVb8Ri
  36. Code: https://github.com/Res2Net/Res2Net-PretrainedModels/blob/master/res2net.py#L221
  37. Config: configs/res2net/res2net50-w14-s8_8xb32_in1k.py
  38. - Name: res2net50-w26-s8_3rdparty_8xb32_in1k
  39. Metadata:
  40. FLOPs: 8390000000
  41. Parameters: 48400000
  42. In Collection: Res2Net
  43. Results:
  44. - Dataset: ImageNet-1k
  45. Metrics:
  46. Top 1 Accuracy: 79.20
  47. Top 5 Accuracy: 94.36
  48. Task: Image Classification
  49. Weights: https://download.openmmlab.com/mmclassification/v0/res2net/res2net50-w26-s8_3rdparty_8xb32_in1k_20210927-f547a94b.pth
  50. Converted From:
  51. Weights: https://1drv.ms/u/s!AkxDDnOtroRPdTrAd_Afzc26Z7Q?e=slYqsR
  52. Code: https://github.com/Res2Net/Res2Net-PretrainedModels/blob/master/res2net.py#L201
  53. Config: configs/res2net/res2net50-w26-s8_8xb32_in1k.py
  54. - Name: res2net101-w26-s4_3rdparty_8xb32_in1k
  55. Metadata:
  56. FLOPs: 8120000000
  57. Parameters: 45210000
  58. In Collection: Res2Net
  59. Results:
  60. - Dataset: ImageNet-1k
  61. Metrics:
  62. Top 1 Accuracy: 79.19
  63. Top 5 Accuracy: 94.44
  64. Task: Image Classification
  65. Weights: https://download.openmmlab.com/mmclassification/v0/res2net/res2net101-w26-s4_3rdparty_8xb32_in1k_20210927-870b6c36.pth
  66. Converted From:
  67. Weights: https://1drv.ms/u/s!AkxDDnOtroRPcJRgTLkahL0cFYw?e=nwbnic
  68. Code: https://github.com/Res2Net/Res2Net-PretrainedModels/blob/master/res2net.py#L181
  69. Config: configs/res2net/res2net101-w26-s4_8xb32_in1k.py