Collections:
  - Name: HorNet
    Metadata:
      Training Data: ImageNet-1k
      Training Techniques:
        - AdamW
        - Weight Decay
      Architecture:
        - HorNet
        - gnConv
    Paper:
      URL: https://arxiv.org/pdf/2207.14284v2.pdf
      Title: "HorNet: Efficient High-Order Spatial Interactions with Recursive Gated Convolutions"
    README: configs/hornet/README.md
    Code:
      Version: v0.24.0
      URL: https://github.com/open-mmlab/mmclassification/blob/v0.24.0/mmcls/models/backbones/hornet.py

Models:
  - Name: hornet-tiny_3rdparty_in1k
    Metadata:
      FLOPs: 3980000000   # 3.98G
      Parameters: 22410000      # 22.41M
    In Collection: HorNet
    Results:
      - Dataset: ImageNet-1k
        Metrics:
          Top 1 Accuracy: 82.84
          Top 5 Accuracy: 96.24
        Task: Image Classification
    Weights: https://download.openmmlab.com/mmclassification/v0/hornet/hornet-tiny_3rdparty_in1k_20220915-0e8eedff.pth
    Config: configs/hornet/hornet-tiny_8xb128_in1k.py
  - Name: hornet-tiny-gf_3rdparty_in1k
    Metadata:
      FLOPs: 3900000000   # 3.9G
      Parameters: 22990000      # 22.99M
    In Collection: HorNet
    Results:
      - Dataset: ImageNet-1k
        Metrics:
          Top 1 Accuracy: 82.98
          Top 5 Accuracy: 96.38
        Task: Image Classification
    Weights: https://download.openmmlab.com/mmclassification/v0/hornet/hornet-tiny-gf_3rdparty_in1k_20220915-4c35a66b.pth
    Config: configs/hornet/hornet-tiny-gf_8xb128_in1k.py
  - Name: hornet-small_3rdparty_in1k
    Metadata:
      FLOPs:  8830000000    # 8.83G
      Parameters: 49530000          # 49.53M
    In Collection: HorNet
    Results:
        - Dataset: ImageNet-1k
          Metrics:
            Top 1 Accuracy: 83.79
            Top 5 Accuracy: 96.75
          Task: Image Classification
    Weights: https://download.openmmlab.com/mmclassification/v0/hornet/hornet-small_3rdparty_in1k_20220915-5935f60f.pth
    Config: configs/hornet/hornet-small_8xb64_in1k.py
  - Name: hornet-small-gf_3rdparty_in1k
    Metadata:
      FLOPs:  8710000000    # 8.71G
      Parameters: 50400000          # 50.4M
    In Collection: HorNet
    Results:
        - Dataset: ImageNet-1k
          Metrics:
            Top 1 Accuracy: 83.98
            Top 5 Accuracy: 96.77
          Task: Image Classification
    Weights: https://download.openmmlab.com/mmclassification/v0/hornet/hornet-small-gf_3rdparty_in1k_20220915-649ca492.pth
    Config: configs/hornet/hornet-small-gf_8xb64_in1k.py
  - Name: hornet-base_3rdparty_in1k
    Metadata:
      FLOPs: 15590000000              # 15.59G
      Parameters: 87260000            # 87.26M
    In Collection: HorNet
    Results:
        - Dataset: ImageNet-1k
          Metrics:
            Top 1 Accuracy: 84.24
            Top 5 Accuracy: 96.94
          Task: Image Classification
    Weights: https://download.openmmlab.com/mmclassification/v0/hornet/hornet-base_3rdparty_in1k_20220915-a06176bb.pth
    Config: configs/hornet/hornet-base_8xb64_in1k.py
  - Name: hornet-base-gf_3rdparty_in1k
    Metadata:
      FLOPs: 15420000000              # 15.42G
      Parameters: 88420000            # 88.42M
    In Collection: HorNet
    Results:
        - Dataset: ImageNet-1k
          Metrics:
            Top 1 Accuracy: 84.32
            Top 5 Accuracy: 96.95
          Task: Image Classification
    Weights: https://download.openmmlab.com/mmclassification/v0/hornet/hornet-base-gf_3rdparty_in1k_20220915-82c06fa7.pth
    Config: configs/hornet/hornet-base-gf_8xb64_in1k.py