mmpretrain/configs/riformer/metafile.yml

Collections:
  - Name: RIFormer
    Metadata:
      Training Data: ImageNet-1k
      Architecture:
        - Affine
        - 1x1 Convolution
        - LayerScale
    Paper:
      URL: https://arxiv.org/abs/xxxx.xxxxx
      Title: RIFormer: Keep Your Vision Backbone Effective But Removing Token Mixer
    README: configs/riformer/README.md
    Code:
      Version: v1.0.rc6
      URL: 

Models:
  - Name: riformer-s12_in1k
    Metadata:
      FLOPs: 1822000000
      Parameters: 11915000
    In Collection: RIFormer
    Results:
      - Dataset: ImageNet-1k
        Metrics:
          Top 1 Accuracy: 76.90
          Top 5 Accuracy: 93.06
        Task: Image Classification
    Weights: 
    Config: configs/riformer/riformer-s12_32xb128_in1k.py
    Converted From:
      Weights: 
      Code: 
  - Name: riformer-s24_in1k
    Metadata:
      Training Data: ImageNet-1k
      FLOPs: 3412000000
      Parameters: 21389000
    In Collection: PoolFormer
    Results:
      - Dataset: ImageNet-1k
        Metrics:
          Top 1 Accuracy: 80.28
          Top 5 Accuracy: 94.80
        Task: Image Classification
    Weights: 
    Config: configs/riformer/riformer-s24_32xb128_in1k.py
    Converted From:
      Weights: 
      Code: 
  - Name: riformer-s36_in1k
    Metadata:
      FLOPs: 5003000000
      Parameters: 30863000
    In Collection: PoolFormer
    Results:
      - Dataset: ImageNet-1k
        Metrics:
          Top 1 Accuracy: 81.29
          Top 5 Accuracy: 95.41
        Task: Image Classification
    Weights: 
    Config: configs/riformer/riformer-s36_32xb128_in1k.py
    Converted From:
      Weights: 
      Code: 
  - Name: riformer-m36_in1k
    Metadata:
      Training Data: ImageNet-1k
      FLOPs: 8801000000
      Parameters: 56173000
    In Collection: PoolFormer
    Results:
      - Dataset: ImageNet-1k
        Metrics:
          Top 1 Accuracy: 82.57
          Top 5 Accuracy: 95.99
        Task: Image Classification
    Weights: 
    Config: configs/riformer/riformer-m36_32xb128_in1k.py
    Converted From:
      Weights: 
      Code: 
  - Name: riformer-m48_in1k
    Metadata:
      FLOPs: 11590000000
      Parameters: 73473000
    In Collection: PoolFormer
    Results:
      - Dataset: ImageNet-1k
        Metrics:
          Top 1 Accuracy: 82.75
          Top 5 Accuracy: 96.11
        Task: Image Classification
    Weights: 
    Config: configs/riformer/riformer-m48_32xb128_in1k.py
    Converted From:
      Weights: 
      Code: 
  - Name: riformer-s12_384_in1k
    Metadata:
      FLOPs: 5355000000
      Parameters: 11915000
    In Collection: RIFormer
    Results:
      - Dataset: ImageNet-1k
        Metrics:
          Top 1 Accuracy: 78.29
          Top 5 Accuracy: 93.93
        Task: Image Classification
    Weights: 
    Config: configs/riformer/riformer-s12_32xb128_in1k_384.py
    Converted From:
      Weights: 
      Code: 
  - Name: riformer-s24_384_in1k
    Metadata:
      Training Data: ImageNet-1k
      FLOPs: 10028000000
      Parameters: 21389000
    In Collection: PoolFormer
    Results:
      - Dataset: ImageNet-1k
        Metrics:
          Top 1 Accuracy: 81.36
          Top 5 Accuracy: 95.40
        Task: Image Classification
    Weights: 
    Config: configs/riformer/riformer-s24_32xb128_in1k_384.py
    Converted From:
      Weights: 
      Code: 
  - Name: riformer-s36_384_in1k
    Metadata:
      FLOPs: 14702000000
      Parameters: 30863000
    In Collection: PoolFormer
    Results:
      - Dataset: ImageNet-1k
        Metrics:
          Top 1 Accuracy: 82.22
          Top 5 Accuracy: 95.95
        Task: Image Classification
    Weights: 
    Config: configs/riformer/riformer-s36_32xb128_in1k_384.py
    Converted From:
      Weights: 
      Code: 
  - Name: riformer-m36_384_in1k
    Metadata:
      Training Data: ImageNet-1k
      FLOPs: 25865000000
      Parameters: 56173000
    In Collection: PoolFormer
    Results:
      - Dataset: ImageNet-1k
        Metrics:
          Top 1 Accuracy: 83.39
          Top 5 Accuracy: 96.40
        Task: Image Classification
    Weights: 
    Config: configs/riformer/riformer-m36_32xb128_in1k_384.py
    Converted From:
      Weights: 
      Code: 
  - Name: riformer-m48_384_in1k
    Metadata:
      FLOPs: 34060000000
      Parameters: 73473000
    In Collection: PoolFormer
    Results:
      - Dataset: ImageNet-1k
        Metrics:
          Top 1 Accuracy: 83.70
          Top 5 Accuracy: 96.60
        Task: Image Classification
    Weights: 
    Config: configs/riformer/riformer-m48_32xb128_in1k_384.py
    Converted From:
      Weights: 
      Code: