X_SSL_Net/tmp/VMamba-main/analyze/mmpretrain_configs/configs/edgenext/metafile.yml

Collections:
  - Name: EdgeNeXt
    Metadata:
      Training Data: ImageNet-1k
      Architecture:
        - SDTA
        - 1x1 Convolution
        - Channel Self-attention
    Paper:
      URL: https://arxiv.org/abs/2206.10589
      Title: 'EdgeNeXt: Efficiently Amalgamated CNN-Transformer Architecture for Mobile Vision Applications'
    README: configs/edgenext/README.md
    Code:
      Version: v1.0.0rc1
      URL: https://github.com/open-mmlab/mmpretrain/blob/v0.23.2/mmcls/models/backbones/edgenext.py

Models:
  - Name: edgenext-xxsmall_3rdparty_in1k
    Metadata:
      FLOPs: 255640144
      Parameters: 1327216
    In Collection: EdgeNeXt
    Results:
      - Dataset: ImageNet-1k
        Metrics:
          Top 1 Accuracy: 71.20
          Top 5 Accuracy: 89.91
        Task: Image Classification
    Weights: https://download.openmmlab.com/mmclassification/v0/edgenext/edgenext-xxsmall_3rdparty_in1k_20220801-7ca8a81d.pth
    Config: configs/edgenext/edgenext-xxsmall_8xb256_in1k.py
    Converted From:
      Weights: https://github.com/mmaaz60/EdgeNeXt/releases/download/v1.0/edgenext_xxsmall.pth
      Code: https://github.com/mmaaz60/EdgeNeXt
  - Name: edgenext-xsmall_3rdparty_in1k
    Metadata:
      Training Data: ImageNet-1k
      FLOPs: 529970560
      Parameters: 2336804
    In Collection: EdgeNeXt
    Results:
      - Dataset: ImageNet-1k
        Metrics:
          Top 1 Accuracy: 74.86
          Top 5 Accuracy: 92.31
        Task: Image Classification
    Weights: https://download.openmmlab.com/mmclassification/v0/edgenext/edgenext-xsmall_3rdparty_in1k_20220801-974f9fe7.pth
    Config: configs/edgenext/edgenext-xsmall_8xb256_in1k.py
    Converted From:
      Weights: https://github.com/mmaaz60/EdgeNeXt/releases/download/v1.0/edgenext_xsmall.pth
      Code: https://github.com/mmaaz60/EdgeNeXt
  - Name: edgenext-small_3rdparty_in1k
    Metadata:
      Training Data: ImageNet-1k
      FLOPs: 1249788000
      Parameters: 5586832
    In Collection: EdgeNeXt
    Results:
      - Dataset: ImageNet-1k
        Metrics:
          Top 1 Accuracy: 79.41
          Top 5 Accuracy: 94.53
        Task: Image Classification
    Weights: https://download.openmmlab.com/mmclassification/v0/edgenext/edgenext-small_3rdparty_in1k_20220801-d00db5f8.pth
    Config: configs/edgenext/edgenext-small_8xb256_in1k.py
    Converted From:
      Weights: https://github.com/mmaaz60/EdgeNeXt/releases/download/v1.0/edgenext_small.pth
      Code: https://github.com/mmaaz60/EdgeNeXt
  - Name: edgenext-small-usi_3rdparty_in1k
    Metadata:
      Training Data: ImageNet-1k
      FLOPs: 1249788000
      Parameters: 5586832
    In Collection: EdgeNeXt
    Results:
      - Dataset: ImageNet-1k
        Metrics:
          Top 1 Accuracy: 81.06
          Top 5 Accuracy: 95.34
        Task: Image Classification
    Weights: https://download.openmmlab.com/mmclassification/v0/edgenext/edgenext-small_3rdparty-usi_in1k_20220801-ae6d8dd3.pth
    Config: configs/edgenext/edgenext-small_8xb256-usi_in1k.py
    Converted From:
      Weights: https://github.com/mmaaz60/EdgeNeXt/releases/download/v1.1/edgenext_small_usi.pth
      Code: https://github.com/mmaaz60/EdgeNeXt
  - Name: edgenext-base_3rdparty_in1k
    Metadata:
      Training Data: ImageNet-1k
      FLOPs: 3814395280
      Parameters: 18511292
    In Collection: EdgeNeXt
    Results:
      - Dataset: ImageNet-1k
        Metrics:
          Top 1 Accuracy: 82.48
          Top 5 Accuracy: 96.2
        Task: Image Classification
    Weights: https://download.openmmlab.com/mmclassification/v0/edgenext/edgenext-base_3rdparty_in1k_20220801-9ade408b.pth
    Config: configs/edgenext/edgenext-base_8xb256_in1k.py
    Converted From:
      Weights: https://github.com/mmaaz60/EdgeNeXt/releases/download/v1.2/edgenext_base.pth
      Code: https://github.com/mmaaz60/EdgeNeXt
  - Name: edgenext-base_3rdparty-usi_in1k
    Metadata:
      Training Data: ImageNet-1k
      FLOPs: 3814395280
      Parameters: 18511292
    In Collection: EdgeNeXt
    Results:
      - Dataset: ImageNet-1k
        Metrics:
          Top 1 Accuracy: 83.67
          Top 5 Accuracy: 96.7
        Task: Image Classification
    Weights: https://download.openmmlab.com/mmclassification/v0/edgenext/edgenext-base_3rdparty-usi_in1k_20220801-909e8939.pth
    Config: configs/edgenext/edgenext-base_8xb256-usi_in1k.py
    Converted From:
      Weights: https://github.com/mmaaz60/EdgeNeXt/releases/download/v1.2/edgenext_base_usi.pth
      Code: https://github.com/mmaaz60/EdgeNeXt