Collections:
  - Name: RepMLP
    Metadata:
      Training Data: ImageNet-1k
      Architecture:
        - Multi-layer Perceptron
        - Re-parameterization Convolution
    Paper:
      URL: https://arxiv.org/abs/2105.01883
      Title: 'RepMLP: Re-parameterizing Convolutions into Fully-connected Layers for Image Recognition'
    README: configs/repmlp/README.md
    Code:
      URL: https://github.com/open-mmlab/mmpretrain/blob/v0.21.0/mmcls/models/backbones/repmlp.py
      Version: v0.21.0

Models:
  - Name: repmlp-base_3rdparty_8xb64_in1k
    In Collection: RepMLP
    Config: configs/repmlp/repmlp-base_8xb64_in1k.py
    Metadata:
      FLOPs: 6710000000  # 6.71 G
      Parameters: 68240000  # 68.24 M
    Results:
      - Dataset: ImageNet-1k
        Metrics:
          Top 1 Accuracy: 80.41
          Top 5 Accuracy: 95.14
        Task: Image Classification
    Weights: https://download.openmmlab.com/mmclassification/v0/repmlp/repmlp-base_3rdparty_8xb64_in1k_20220330-1cb1f11b.pth
    Converted From:
      Weights: https://github.com/DingXiaoH/RepMLP
      Code: https://github.com/DingXiaoH/RepMLP/blob/072d8516beba83d75dfe6ebb12f625abad4b53d5/repmlpnet.py#L274
  - Name: repmlp-base_3rdparty_8xb64_in1k-256px
    In Collection: RepMLP
    Config: configs/repmlp/repmlp-base_8xb64_in1k-256px.py
    Metadata:
      FLOPs: 9690000000  # 9.69 G
      Parameters: 96450000  # 96.45M
    Results:
      - Dataset: ImageNet-1k
        Metrics:
          Top 1 Accuracy: 81.11
          Top 5 Accuracy: 95.50
        Task: Image Classification
    Weights: https://download.openmmlab.com/mmclassification/v0/repmlp/repmlp-base_3rdparty_8xb64_in1k-256px_20220330-7c5a91ce.pth
    Converted From:
      Weights: https://github.com/DingXiaoH/RepMLP
      Code: https://github.com/DingXiaoH/RepMLP/blob/072d8516beba83d75dfe6ebb12f625abad4b53d5/repmlpnet.py#L278
