metafile.yml 2.8 KB

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  1. Collections:
  2. - Name: DenseNet
  3. Metadata:
  4. Training Data: ImageNet-1k
  5. Architecture:
  6. - DenseBlock
  7. Paper:
  8. URL: https://arxiv.org/abs/1608.06993
  9. Title: Densely Connected Convolutional Networks
  10. README: configs/densenet/README.md
  11. Models:
  12. - Name: densenet121_3rdparty_in1k
  13. Metadata:
  14. FLOPs: 2881695488
  15. Parameters: 7978856
  16. In Collection: DenseNet
  17. Results:
  18. - Dataset: ImageNet-1k
  19. Metrics:
  20. Top 1 Accuracy: 74.96
  21. Top 5 Accuracy: 92.21
  22. Task: Image Classification
  23. Weights: https://download.openmmlab.com/mmclassification/v0/densenet/densenet121_4xb256_in1k_20220426-07450f99.pth
  24. Config: configs/densenet/densenet121_4xb256_in1k.py
  25. Converted From:
  26. Weights: https://download.pytorch.org/models/densenet121-a639ec97.pth
  27. Code: https://github.com/pytorch/vision/blob/main/torchvision/models/densenet.py
  28. - Name: densenet169_3rdparty_in1k
  29. Metadata:
  30. FLOPs: 3416860160
  31. Parameters: 14149480
  32. In Collection: DenseNet
  33. Results:
  34. - Dataset: ImageNet-1k
  35. Metrics:
  36. Top 1 Accuracy: 76.08
  37. Top 5 Accuracy: 93.11
  38. Task: Image Classification
  39. Weights: https://download.openmmlab.com/mmclassification/v0/densenet/densenet169_4xb256_in1k_20220426-a2889902.pth
  40. Config: configs/densenet/densenet169_4xb256_in1k.py
  41. Converted From:
  42. Weights: https://download.pytorch.org/models/densenet169-b2777c0a.pth
  43. Code: https://github.com/pytorch/vision/blob/main/torchvision/models/densenet.py
  44. - Name: densenet201_3rdparty_in1k
  45. Metadata:
  46. FLOPs: 4365236736
  47. Parameters: 20013928
  48. In Collection: DenseNet
  49. Results:
  50. - Dataset: ImageNet-1k
  51. Metrics:
  52. Top 1 Accuracy: 77.32
  53. Top 5 Accuracy: 93.64
  54. Task: Image Classification
  55. Weights: https://download.openmmlab.com/mmclassification/v0/densenet/densenet201_4xb256_in1k_20220426-05cae4ef.pth
  56. Config: configs/densenet/densenet201_4xb256_in1k.py
  57. Converted From:
  58. Weights: https://download.pytorch.org/models/densenet201-c1103571.pth
  59. Code: https://github.com/pytorch/vision/blob/main/torchvision/models/densenet.py
  60. - Name: densenet161_3rdparty_in1k
  61. Metadata:
  62. FLOPs: 7816363968
  63. Parameters: 28681000
  64. In Collection: DenseNet
  65. Results:
  66. - Dataset: ImageNet-1k
  67. Metrics:
  68. Top 1 Accuracy: 77.61
  69. Top 5 Accuracy: 93.83
  70. Task: Image Classification
  71. Weights: https://download.openmmlab.com/mmclassification/v0/densenet/densenet161_4xb256_in1k_20220426-ee6a80a9.pth
  72. Config: configs/densenet/densenet161_4xb256_in1k.py
  73. Converted From:
  74. Weights: https://download.pytorch.org/models/densenet161-8d451a50.pth
  75. Code: https://github.com/pytorch/vision/blob/main/torchvision/models/densenet.py