metafile.yml

Collections:
  - Name: Res2Net
    Metadata:
      Training Data: ImageNet-1k
      Training Techniques:
        - SGD with Momentum
        - Weight Decay
      Architecture:
        - Batch Normalization
        - Convolution
        - Global Average Pooling
        - ReLU
        - Res2Net Block
    Paper:
      Title: 'Res2Net: A New Multi-scale Backbone Architecture'
      URL: https://arxiv.org/abs/1904.01169
    README: configs/res2net/README.md
    Code:
      URL: https://github.com/open-mmlab/mmpretrain/blob/v0.17.0/mmcls/models/backbones/res2net.py
      Version: v0.17.0

Models:
  - Name: res2net50-w14-s8_3rdparty_8xb32_in1k
    Metadata:
      FLOPs: 4220000000
      Parameters: 25060000
    In Collection: Res2Net
    Results:
      - Dataset: ImageNet-1k
        Metrics:
          Top 1 Accuracy: 78.14
          Top 5 Accuracy: 93.85
        Task: Image Classification
    Weights: https://download.openmmlab.com/mmclassification/v0/res2net/res2net50-w14-s8_3rdparty_8xb32_in1k_20210927-bc967bf1.pth
    Converted From:
      Weights: https://1drv.ms/u/s!AkxDDnOtroRPdOTqhF8ne_aakDI?e=EVb8Ri
      Code: https://github.com/Res2Net/Res2Net-PretrainedModels/blob/master/res2net.py#L221
    Config: configs/res2net/res2net50-w14-s8_8xb32_in1k.py
  - Name: res2net50-w26-s8_3rdparty_8xb32_in1k
    Metadata:
      FLOPs: 8390000000
      Parameters: 48400000
    In Collection: Res2Net
    Results:
      - Dataset: ImageNet-1k
        Metrics:
          Top 1 Accuracy: 79.20
          Top 5 Accuracy: 94.36
        Task: Image Classification
    Weights: https://download.openmmlab.com/mmclassification/v0/res2net/res2net50-w26-s8_3rdparty_8xb32_in1k_20210927-f547a94b.pth
    Converted From:
      Weights: https://1drv.ms/u/s!AkxDDnOtroRPdTrAd_Afzc26Z7Q?e=slYqsR
      Code: https://github.com/Res2Net/Res2Net-PretrainedModels/blob/master/res2net.py#L201
    Config: configs/res2net/res2net50-w26-s8_8xb32_in1k.py
  - Name: res2net101-w26-s4_3rdparty_8xb32_in1k
    Metadata:
      FLOPs: 8120000000
      Parameters: 45210000
    In Collection: Res2Net
    Results:
      - Dataset: ImageNet-1k
        Metrics:
          Top 1 Accuracy: 79.19
          Top 5 Accuracy: 94.44
        Task: Image Classification
    Weights: https://download.openmmlab.com/mmclassification/v0/res2net/res2net101-w26-s4_3rdparty_8xb32_in1k_20210927-870b6c36.pth
    Converted From:
      Weights: https://1drv.ms/u/s!AkxDDnOtroRPcJRgTLkahL0cFYw?e=nwbnic
      Code: https://github.com/Res2Net/Res2Net-PretrainedModels/blob/master/res2net.py#L181
    Config: configs/res2net/res2net101-w26-s4_8xb32_in1k.py