mmpretrain/configs/vig/metafile.yml

Collections:
  - Name: VIG
    Metadata:
      Training Data: ImageNet-1k
      Architecture:
        - Vision GNN
    Paper:
      Title: 'Vision GNN: An Image is Worth Graph of Nodes'
      URL: https://arxiv.org/abs/2206.00272
    README: configs/vig/README.md
    Code:
      URL: null
      Version: null

Models:
  - Name: vig-tiny_3rdparty_in1k
    Metadata:
      FLOPs: 1309000000
      Parameters: 7185000
      Training Data: ImageNet-1k
    In Collection: VIG
    Results:
      - Dataset: ImageNet-1k
        Metrics:
          Top 1 Accuracy: 74.40
          Top 5 Accuracy: 92.34
        Task: Image Classification
    Weights: https://download.openmmlab.com/mmclassification/v0/vig/vig-tiny_3rdparty_in1k_20230117-6414c684.pth
    Config: configs/vig/vig-tiny_8xb128_in1k.py
    Converted From:
      Weights: https://github.com/huawei-noah/Efficient-AI-Backbones/releases/download/vig/vig_ti_74.5.pth
      Code: https://github.com/huawei-noah/Efficient-AI-Backbones/tree/master/vig_pytorch
  - Name: vig-small_3rdparty_in1k
    Metadata:
      FLOPs: 4535000000
      Parameters: 22748000
      Training Data: ImageNet-1k
    In Collection: VIG
    Results:
      - Dataset: ImageNet-1k
        Metrics:
          Top 1 Accuracy: 80.61
          Top 5 Accuracy: 95.28
        Task: Image Classification
    Weights: https://download.openmmlab.com/mmclassification/v0/vig/vig-small_3rdparty_in1k_20230117-5338bf3b.pth
    Config: configs/vig/vig-small_8xb128_in1k.py
    Converted From:
      Weights: https://github.com/huawei-noah/Efficient-AI-Backbones/releases/download/vig/vig_s_80.6.pth
      Code: https://github.com/huawei-noah/Efficient-AI-Backbones/tree/master/vig_pytorch
  - Name: vig-base_3rdparty_in1k
    Metadata:
      FLOPs: 17681000000
      Parameters: 20685000
      Training Data: ImageNet-1k
    In Collection: VIG
    Results:
      - Dataset: ImageNet-1k
        Metrics:
          Top 1 Accuracy: 82.62
          Top 5 Accuracy: 96.04
        Task: Image Classification
    Weights: https://download.openmmlab.com/mmclassification/v0/vig/vig-base_3rdparty_in1k_20230117-92f6f12f.pth
    Config: configs/vig/vig-base_8xb128_in1k.py
    Converted From:
      Weights: https://github.com/huawei-noah/Efficient-AI-Backbones/releases/download/vig/vig_b_82.6.pth
      Code: https://github.com/huawei-noah/Efficient-AI-Backbones/tree/master/vig_pytorch
  - Name: pvig-tiny_3rdparty_in1k
    Metadata:
      FLOPs: 1714000000
      Parameters: 9458000
      Training Data: ImageNet-1k
    In Collection: VIG
    Results:
      - Dataset: ImageNet-1k
        Metrics:
          Top 1 Accuracy: 78.38
          Top 5 Accuracy: 94.38
        Task: Image Classification
    Weights: https://download.openmmlab.com/mmclassification/v0/vig/pvig-tiny_3rdparty_in1k_20230117-eb77347d.pth
    Config: configs/vig/pvig-tiny_8xb128_in1k.py
    Converted From:
      Weights: https://github.com/huawei-noah/Efficient-AI-Backbones/releases/download/pyramid-vig/pvig_ti_78.5.pth.tar
      Code: https://github.com/huawei-noah/Efficient-AI-Backbones/tree/master/vig_pytorch
  - Name: pvig-small_3rdparty_in1k
    Metadata:
      FLOPs: 4572000000
      Parameters: 29024000
      Training Data: ImageNet-1k
    In Collection: VIG
    Results:
      - Dataset: ImageNet-1k
        Metrics:
          Top 1 Accuracy: 82.00
          Top 5 Accuracy: 95.97
        Task: Image Classification
    Weights: https://download.openmmlab.com/mmclassification/v0/vig/pvig-small_3rdparty_in1k_20230117-9433dc96.pth
    Config: configs/vig/pvig-small_8xb128_in1k.py
    Converted From:
      Weights: https://github.com/huawei-noah/Efficient-AI-Backbones/releases/download/pyramid-vig/pvig_s_82.1.pth.tar
      Code: https://github.com/huawei-noah/Efficient-AI-Backbones/tree/master/vig_pytorch
  - Name: pvig-medium_3rdparty_in1k
    Metadata:
      FLOPs: 8886000000
      Parameters: 51682000
      Training Data: ImageNet-1k
    In Collection: VIG
    Results:
      - Dataset: ImageNet-1k
        Metrics:
          Top 1 Accuracy: 83.12
          Top 5 Accuracy: 96.35
        Task: Image Classification
    Weights: https://download.openmmlab.com/mmclassification/v0/vig/pvig-medium_3rdparty_in1k_20230117-21057a6d.pth
    Config: configs/vig/pvig-medium_8xb128_in1k.py
    Converted From:
      Weights: https://github.com/huawei-noah/Efficient-AI-Backbones/releases/download/pyramid-vig/pvig_m_83.1.pth.tar
      Code: https://github.com/huawei-noah/Efficient-AI-Backbones/tree/master/vig_pytorch
  - Name: pvig-base_3rdparty_in1k
    Metadata:
      FLOPs: 16861000000
      Parameters: 95213000
      Training Data: ImageNet-1k
    In Collection: VIG
    Results:
      - Dataset: ImageNet-1k
        Metrics:
          Top 1 Accuracy: 83.59
          Top 5 Accuracy: 96.52
        Task: Image Classification
    Weights: https://download.openmmlab.com/mmclassification/v0/vig/pvig-base_3rdparty_in1k_20230117-dbab3c85.pth
    Config: configs/vig/pvig-base_8xb128_in1k.py
    Converted From:
      Weights: https://github.com/huawei-noah/Efficient-AI-Backbones/releases/download/pyramid-vig/pvig_b_83.66.pth.tar
      Code: https://github.com/huawei-noah/Efficient-AI-Backbones/tree/master/vig_pytorch