metafile.yml

Collections:
  - Name: FactorTransfer
    Metadata:
      Training Data:
        - CIFAR-10
    Paper:
      URL: https://arxiv.org/abs/1802.04977
      Title: 'Paraphrasing Complex Network: Network Compression via Factor Transfer'
    README: configs/distill/mmcls/factor_transfer/README.md
    Code:
      URL: /~https://github.com/open-mmlab/mmrazor/blob/dev-1.x/mmrazor/models/losses/factor_transfer_loss.py
      Version: v2.0.0
    Converted From:
      Code: /~https://github.com/Jangho-Kim/Factor-Transfer-pytorch
Models:
  - Name: factor-transfer_backbone_resnet50_resnet18_8xb16_cifar10_train
    In Collection: FactorTransfer
    Metadata:
      Location: backbone
      Student:
        Config: mmcls::resnet/resnet18_8xb16_cifar10.py
        Weights: https://download.openmmlab.com/mmclassification/v0/resnet/resnet18_b16x8_cifar10_20210528-bd6371c8.pth
        Metrics:
          Top 1 Accuracy: 94.82
          Top 5 Accuracy: 99.87
      Teacher:
        Config: mmcls::resnet/resnet50_8xb16_cifar10.py
        Weights: https://download.openmmlab.com/mmclassification/v0/resnet/resnet50_b16x8_cifar10_20210528-f54bfad9.pth
        Metrics:
          Top 1 Accuracy: 95.55
          Top 5 Accuracy: 99.91
    Results:
      - Task: Image Classification
        Dataset: CIFAR-10
        Metrics:
          Top 1 Accuracy: 94.8800
    Config: configs/distill/mmcls/factor_transfer/factor-transfer_backbone_resnet50_resnet18_8xb16_cifar10_train.py
    Weights: https://download.openmmlab.com/mmrazor/v1/factor_transfer/factor-transfer_backbone_resnet50_resnet18_8xb16_cifar10_train_20220831_201322-943df33f.pth