metafile.yml

Collections:
  - Name: HRNet
    Metadata:
      Training Data: ImageNet-1k
      Architecture:
        - Batch Normalization
        - Convolution
        - ReLU
        - Residual Connection
    Paper:
      URL: https://arxiv.org/abs/1908.07919v2
      Title: "Deep High-Resolution Representation Learning for Visual Recognition"
    README: configs/hrnet/README.md
    Code:
      URL: https://github.com/open-mmlab/mmpretrain/blob/v0.20.1/mmcls/models/backbones/hrnet.py
      Version: v0.20.1

Models:
  - Name: hrnet-w18_3rdparty_8xb32_in1k
    Metadata:
      FLOPs: 4330397932
      Parameters: 21295164
    In Collection: HRNet
    Results:
      - Dataset: ImageNet-1k
        Metrics:
          Top 1 Accuracy: 76.75
          Top 5 Accuracy: 93.44
        Task: Image Classification
    Weights: https://download.openmmlab.com/mmclassification/v0/hrnet/hrnet-w18_3rdparty_8xb32_in1k_20220120-0c10b180.pth
    Config: configs/hrnet/hrnet-w18_4xb32_in1k.py
    Converted From:
      Weights: https://1drv.ms/u/s!Aus8VCZ_C_33cMkPimlmClRvmpw
      Code: https://github.com/HRNet/HRNet-Image-Classification
  - Name: hrnet-w30_3rdparty_8xb32_in1k
    Metadata:
      FLOPs: 8168305684
      Parameters: 37708380
    In Collection: HRNet
    Results:
      - Dataset: ImageNet-1k
        Metrics:
          Top 1 Accuracy: 78.19
          Top 5 Accuracy: 94.22
        Task: Image Classification
    Weights: https://download.openmmlab.com/mmclassification/v0/hrnet/hrnet-w30_3rdparty_8xb32_in1k_20220120-8aa3832f.pth
    Config: configs/hrnet/hrnet-w30_4xb32_in1k.py
    Converted From:
      Weights: https://1drv.ms/u/s!Aus8VCZ_C_33cQoACCEfrzcSaVI
      Code: https://github.com/HRNet/HRNet-Image-Classification
  - Name: hrnet-w32_3rdparty_8xb32_in1k
    Metadata:
      FLOPs: 8986267584
      Parameters: 41228840
    In Collection: HRNet
    Results:
      - Dataset: ImageNet-1k
        Metrics:
          Top 1 Accuracy: 78.44
          Top 5 Accuracy: 94.19
        Task: Image Classification
    Weights: https://download.openmmlab.com/mmclassification/v0/hrnet/hrnet-w32_3rdparty_8xb32_in1k_20220120-c394f1ab.pth
    Config: configs/hrnet/hrnet-w32_4xb32_in1k.py
    Converted From:
      Weights: https://1drv.ms/u/s!Aus8VCZ_C_33dYBMemi9xOUFR0w
      Code: https://github.com/HRNet/HRNet-Image-Classification
  - Name: hrnet-w40_3rdparty_8xb32_in1k
    Metadata:
      FLOPs: 12767574064
      Parameters: 57553320
    In Collection: HRNet
    Results:
      - Dataset: ImageNet-1k
        Metrics:
          Top 1 Accuracy: 78.94
          Top 5 Accuracy: 94.47
        Task: Image Classification
    Weights: https://download.openmmlab.com/mmclassification/v0/hrnet/hrnet-w40_3rdparty_8xb32_in1k_20220120-9a2dbfc5.pth
    Config: configs/hrnet/hrnet-w40_4xb32_in1k.py
    Converted From:
      Weights: https://1drv.ms/u/s!Aus8VCZ_C_33ck0gvo5jfoWBOPo
      Code: https://github.com/HRNet/HRNet-Image-Classification
  - Name: hrnet-w44_3rdparty_8xb32_in1k
    Metadata:
      FLOPs: 14963902632
      Parameters: 67061144
    In Collection: HRNet
    Results:
      - Dataset: ImageNet-1k
        Metrics:
          Top 1 Accuracy: 78.88
          Top 5 Accuracy: 94.37
        Task: Image Classification
    Weights: https://download.openmmlab.com/mmclassification/v0/hrnet/hrnet-w44_3rdparty_8xb32_in1k_20220120-35d07f73.pth
    Config: configs/hrnet/hrnet-w44_4xb32_in1k.py
    Converted From:
      Weights: https://1drv.ms/u/s!Aus8VCZ_C_33czZQ0woUb980gRs
      Code: https://github.com/HRNet/HRNet-Image-Classification
  - Name: hrnet-w48_3rdparty_8xb32_in1k
    Metadata:
      FLOPs: 17364014752
      Parameters: 77466024
    In Collection: HRNet
    Results:
      - Dataset: ImageNet-1k
        Metrics:
          Top 1 Accuracy: 79.32
          Top 5 Accuracy: 94.52
        Task: Image Classification
    Weights: https://download.openmmlab.com/mmclassification/v0/hrnet/hrnet-w48_3rdparty_8xb32_in1k_20220120-e555ef50.pth
    Config: configs/hrnet/hrnet-w48_4xb32_in1k.py
    Converted From:
      Weights: https://1drv.ms/u/s!Aus8VCZ_C_33dKvqI6pBZlifgJk
      Code: https://github.com/HRNet/HRNet-Image-Classification
  - Name: hrnet-w64_3rdparty_8xb32_in1k
    Metadata:
      FLOPs: 29002298752
      Parameters: 128056104
    In Collection: HRNet
    Results:
      - Dataset: ImageNet-1k
        Metrics:
          Top 1 Accuracy: 79.46
          Top 5 Accuracy: 94.65
        Task: Image Classification
    Weights: https://download.openmmlab.com/mmclassification/v0/hrnet/hrnet-w64_3rdparty_8xb32_in1k_20220120-19126642.pth
    Config: configs/hrnet/hrnet-w64_4xb32_in1k.py
    Converted From:
      Weights: https://1drv.ms/u/s!Aus8VCZ_C_33gQbJsUPTIj3rQu99
      Code: https://github.com/HRNet/HRNet-Image-Classification
  - Name: hrnet-w18_3rdparty_8xb32-ssld_in1k
    Metadata:
      FLOPs: 4330397932
      Parameters: 21295164
    In Collection: HRNet
    Results:
      - Dataset: ImageNet-1k
        Metrics:
          Top 1 Accuracy: 81.06
          Top 5 Accuracy: 95.7
        Task: Image Classification
    Weights: https://download.openmmlab.com/mmclassification/v0/hrnet/hrnet-w18_3rdparty_8xb32-ssld_in1k_20220120-455f69ea.pth
    Config: configs/hrnet/hrnet-w18_4xb32_in1k.py
    Converted From:
      Weights: https://github.com/HRNet/HRNet-Image-Classification/releases/download/PretrainedWeights/HRNet_W18_C_ssld_pretrained.pth
      Code: https://github.com/HRNet/HRNet-Image-Classification
  - Name: hrnet-w48_3rdparty_8xb32-ssld_in1k
    Metadata:
      FLOPs: 17364014752
      Parameters: 77466024
    In Collection: HRNet
    Results:
      - Dataset: ImageNet-1k
        Metrics:
          Top 1 Accuracy: 83.63
          Top 5 Accuracy: 96.79
        Task: Image Classification
    Weights: https://download.openmmlab.com/mmclassification/v0/hrnet/hrnet-w48_3rdparty_8xb32-ssld_in1k_20220120-d0459c38.pth
    Config: configs/hrnet/hrnet-w48_4xb32_in1k.py
    Converted From:
      Weights: https://github.com/HRNet/HRNet-Image-Classification/releases/download/PretrainedWeights/HRNet_W48_C_ssld_pretrained.pth
      Code: https://github.com/HRNet/HRNet-Image-Classification