mmpretrain/configs/repvgg/metafile.yml

Collections:
  - Name: RepVGG
    Metadata:
      Training Data: ImageNet-1k
      Architecture:
        - re-parameterization Convolution
        - VGG-style Neural Network
    Paper:
      URL: https://arxiv.org/abs/2101.03697
      Title: 'RepVGG: Making VGG-style ConvNets Great Again'
    README: configs/repvgg/README.md
    Code:
      URL: https://github.com/open-mmlab/mmpretrain/blob/v0.16.0/mmcls/models/backbones/repvgg.py#L257
      Version: v0.16.0

Models:
  - Name: repvgg-A0_8xb32_in1k
    In Collection: RepVGG
    Config: configs/repvgg/repvgg-A0_8xb32_in1k.py
    Metadata:
      FLOPs: 1360233728
      Parameters: 8309384
    Results:
    - Dataset: ImageNet-1k
      Task: Image Classification
      Metrics:
        Top 1 Accuracy: 72.37
        Top 5 Accuracy: 90.56
    Weights: https://download.openmmlab.com/mmclassification/v0/repvgg/repvgg-A0_8xb32_in1k_20221213-60ae8e23.pth
  - Name: repvgg-A1_8xb32_in1k
    In Collection: RepVGG
    Config: configs/repvgg/repvgg-A1_8xb32_in1k.py
    Metadata:
      FLOPs: 2362750208
      Parameters: 12789864
    Results:
    - Dataset: ImageNet-1k
      Task: Image Classification
      Metrics:
        Top 1 Accuracy: 74.23
        Top 5 Accuracy: 91.80
    Weights: https://download.openmmlab.com/mmclassification/v0/repvgg/repvgg-A1_8xb32_in1k_20221213-f81bf3df.pth
  - Name: repvgg-A2_8xb32_in1k
    In Collection: RepVGG
    Config: configs/repvgg/repvgg-A2_8xb32_in1k.py
    Metadata:
      FLOPs: 5115612544
      Parameters: 25499944
    Results:
    - Dataset: ImageNet-1k
      Task: Image Classification
      Metrics:
        Top 1 Accuracy: 76.49
        Top 5 Accuracy: 93.09
    Weights: https://download.openmmlab.com/mmclassification/v0/repvgg/repvgg-A2_8xb32_in1k_20221213-a8767caf.pth
  - Name: repvgg-B0_8xb32_in1k
    In Collection: RepVGG
    Config: configs/repvgg/repvgg-B0_8xb32_in1k.py
    Metadata:
      FLOPs: 15820000000
      Parameters: 3420000
    Results:
    - Dataset: ImageNet-1k
      Task: Image Classification
      Metrics:
        Top 1 Accuracy: 75.27
        Top 5 Accuracy: 92.21
    Weights: https://download.openmmlab.com/mmclassification/v0/repvgg/repvgg-B0_8xb32_in1k_20221213-5091ecc7.pth
  - Name: repvgg-B1_8xb32_in1k
    In Collection: RepVGG
    Config: configs/repvgg/repvgg-B1_8xb32_in1k.py
    Metadata:
      FLOPs: 11813537792
      Parameters: 51829480
    Results:
    - Dataset: ImageNet-1k
      Task: Image Classification
      Metrics:
        Top 1 Accuracy: 78.19
        Top 5 Accuracy: 94.04
    Weights: https://download.openmmlab.com/mmclassification/v0/repvgg/repvgg-B1_8xb32_in1k_20221213-d17c45e7.pth
  - Name: repvgg-B1g2_8xb32_in1k
    In Collection: RepVGG
    Config: configs/repvgg/repvgg-B1g2_8xb32_in1k.py
    Metadata:
      FLOPs: 8807794688
      Parameters: 41360104
    Results:
    - Dataset: ImageNet-1k
      Task: Image Classification
      Metrics:
        Top 1 Accuracy: 77.87
        Top 5 Accuracy: 93.99
    Weights: https://download.openmmlab.com/mmclassification/v0/repvgg/repvgg-B1g2_8xb32_in1k_20221213-ae6428fd.pth
  - Name: repvgg-B1g4_8xb32_in1k
    In Collection: RepVGG
    Config: configs/repvgg/repvgg-B1g4_8xb32_in1k.py
    Metadata:
      FLOPs: 7304923136
      Parameters: 36125416
    Results:
    - Dataset: ImageNet-1k
      Task: Image Classification
      Metrics:
        Top 1 Accuracy: 77.81
        Top 5 Accuracy: 93.77
    Weights: https://download.openmmlab.com/mmclassification/v0/repvgg/repvgg-B1g4_8xb32_in1k_20221213-a7a4aaea.pth
  - Name: repvgg-B2_8xb32_in1k
    In Collection: RepVGG
    Config: configs/repvgg/repvgg-B2_8xb32_in1k.py
    Metadata:
      FLOPs: 18374175232
      Parameters: 80315112
    Results:
    - Dataset: ImageNet-1k
      Task: Image Classification
      Metrics:
        Top 1 Accuracy: 78.58
        Top 5 Accuracy: 94.23
    Weights: https://download.openmmlab.com/mmclassification/v0/repvgg/repvgg-B2_8xb32_in1k_20221213-d8b420ef.pth
  - Name: repvgg-B2g4_8xb32_in1k
    In Collection: RepVGG
    Config: configs/repvgg/repvgg-B2g4_8xb32_in1k.py
    Metadata:
      FLOPs: 11329464832
      Parameters: 55777512
    Results:
    - Dataset: ImageNet-1k
      Task: Image Classification
      Metrics:
        Top 1 Accuracy: 79.44
        Top 5 Accuracy: 94.72
    Weights: https://download.openmmlab.com/mmclassification/v0/repvgg/repvgg-B2g4_8xb32_in1k_20221213-0c1990eb.pth
  - Name: repvgg-B3_8xb32_in1k
    In Collection: RepVGG
    Config: configs/repvgg/repvgg-B3_8xb32_in1k.py
    Metadata:
      FLOPs: 26206448128
      Parameters: 110960872
    Results:
    - Dataset: ImageNet-1k
      Task: Image Classification
      Metrics:
        Top 1 Accuracy: 80.58
        Top 5 Accuracy: 95.33
    Weights: https://download.openmmlab.com/mmclassification/v0/repvgg/repvgg-B3_8xb32_in1k_20221213-927a329a.pth
  - Name: repvgg-B3g4_8xb32_in1k
    In Collection: RepVGG
    Config: configs/repvgg/repvgg-B3g4_8xb32_in1k.py
    Metadata:
      FLOPs: 16062065152
      Parameters: 75626728
    Results:
    - Dataset: ImageNet-1k
      Task: Image Classification
      Metrics:
        Top 1 Accuracy: 80.26
        Top 5 Accuracy: 95.15
    Weights: https://download.openmmlab.com/mmclassification/v0/repvgg/repvgg-B3g4_8xb32_in1k_20221213-e01cb280.pth
  - Name: repvgg-D2se_3rdparty_in1k
    In Collection: RepVGG
    Config: configs/repvgg/repvgg-D2se_8xb32_in1k.py
    Metadata:
      FLOPs: 32838581760
      Parameters: 120387572
    Results:
    - Dataset: ImageNet-1k
      Task: Image Classification
      Metrics:
        Top 1 Accuracy: 81.81
        Top 5 Accuracy: 95.94
    Weights: https://download.openmmlab.com/mmclassification/v0/repvgg/repvgg-D2se_3rdparty_4xb64-autoaug-lbs-mixup-coslr-200e_in1k_20210909-cf3139b7.pth
    Converted From:
      Weights: https://drive.google.com/drive/folders/1Avome4KvNp0Lqh2QwhXO6L5URQjzCjUq
      Code: https://github.com/DingXiaoH/RepVGG/blob/9f272318abfc47a2b702cd0e916fca8d25d683e7/repvgg.py#L250