mmpretrain/configs/riformer/metafile.yml

Collections:
  - Name: RIFormer
    Metadata:
      Training Data: ImageNet-1k
      Training Resources: 8x A100 GPUs
      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: v1.0.0rc7
      URL: null

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: https://download.openmmlab.com/mmclassification/v1/riformer/riformer-s12_32xb128_in1k_20230406-6741ce71.pth
    Config: configs/riformer/riformer-s12_8xb128_in1k.py
  - Name: riformer-s24_in1k
    Metadata:
      Training Data: ImageNet-1k
      FLOPs: 3412000000
      Parameters: 21389000
    In Collection: RIFormer
    Results:
      - Dataset: ImageNet-1k
        Metrics:
          Top 1 Accuracy: 80.28
          Top 5 Accuracy: 94.80
        Task: Image Classification
    Weights: https://download.openmmlab.com/mmclassification/v1/riformer/riformer-s24_32xb128_in1k_20230406-fdab072a.pth
    Config: configs/riformer/riformer-s24_8xb128_in1k.py
  - Name: riformer-s36_in1k
    Metadata:
      FLOPs: 5003000000
      Parameters: 30863000
    In Collection: RIFormer
    Results:
      - Dataset: ImageNet-1k
        Metrics:
          Top 1 Accuracy: 81.29
          Top 5 Accuracy: 95.41
        Task: Image Classification
    Weights: https://download.openmmlab.com/mmclassification/v1/riformer/riformer-s36_32xb128_in1k_20230406-fdfcd3b0.pth
    Config: configs/riformer/riformer-s36_8xb128_in1k.py
  - Name: riformer-m36_in1k
    Metadata:
      Training Data: ImageNet-1k
      FLOPs: 8801000000
      Parameters: 56173000
    In Collection: RIFormer
    Results:
      - Dataset: ImageNet-1k
        Metrics:
          Top 1 Accuracy: 82.57
          Top 5 Accuracy: 95.99
        Task: Image Classification
    Weights: https://download.openmmlab.com/mmclassification/v1/riformer/riformer-m36_32xb128_in1k_20230406-2fcb9d9b.pth
    Config: configs/riformer/riformer-m36_8xb128_in1k.py
  - Name: riformer-m48_in1k
    Metadata:
      FLOPs: 11590000000
      Parameters: 73473000
    In Collection: RIFormer
    Results:
      - Dataset: ImageNet-1k
        Metrics:
          Top 1 Accuracy: 82.75
          Top 5 Accuracy: 96.11
        Task: Image Classification
    Weights: https://download.openmmlab.com/mmclassification/v1/riformer/riformer-m48_32xb128_in1k_20230406-2b9d1abf.pth
    Config: configs/riformer/riformer-m48_8xb64_in1k.py
  - Name: riformer-s12_in1k-384
    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: https://download.openmmlab.com/mmclassification/v1/riformer/riformer-s12_32xb128_in1k-384px_20230406-145eda4c.pth
    Config: configs/riformer/riformer-s12_8xb128_in1k-384px.py
  - Name: riformer-s24_in1k-384
    Metadata:
      Training Data: ImageNet-1k
      FLOPs: 10028000000
      Parameters: 21389000
    In Collection: RIFormer
    Results:
      - Dataset: ImageNet-1k
        Metrics:
          Top 1 Accuracy: 81.36
          Top 5 Accuracy: 95.40
        Task: Image Classification
    Weights: https://download.openmmlab.com/mmclassification/v1/riformer/riformer-s24_32xb128_in1k-384px_20230406-bafae7ab.pth
    Config: configs/riformer/riformer-s24_8xb128_in1k-384px.py
  - Name: riformer-s36_in1k-384
    Metadata:
      FLOPs: 14702000000
      Parameters: 30863000
    In Collection: RIFormer
    Results:
      - Dataset: ImageNet-1k
        Metrics:
          Top 1 Accuracy: 82.22
          Top 5 Accuracy: 95.95
        Task: Image Classification
    Weights: https://download.openmmlab.com/mmclassification/v1/riformer/riformer-s36_32xb128_in1k-384px_20230406-017ed3c4.pth
    Config: configs/riformer/riformer-s36_8xb64_in1k-384px.py
  - Name: riformer-m36_in1k-384
    Metadata:
      Training Data: ImageNet-1k
      FLOPs: 25865000000
      Parameters: 56173000
    In Collection: RIFormer
    Results:
      - Dataset: ImageNet-1k
        Metrics:
          Top 1 Accuracy: 83.39
          Top 5 Accuracy: 96.40
        Task: Image Classification
    Weights: https://download.openmmlab.com/mmclassification/v1/riformer/riformer-m36_32xb128_in1k-384px_20230406-66a6f764.pth
    Config: configs/riformer/riformer-m36_8xb64_in1k-384px.py
  - Name: riformer-m48_in1k-384
    Metadata:
      FLOPs: 34060000000
      Parameters: 73473000
    In Collection: RIFormer
    Results:
      - Dataset: ImageNet-1k
        Metrics:
          Top 1 Accuracy: 83.70
          Top 5 Accuracy: 96.60
        Task: Image Classification
    Weights: https://download.openmmlab.com/mmclassification/v1/riformer/riformer-m48_32xb128_in1k-384px_20230406-2e874826.pth
    Config: configs/riformer/riformer-m48_8xb64_in1k-384px.py