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corenel avatar

corenel/pytorch-atda

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45 星标·17 分支·Python·MIT·9 次浏览

Pytorch Atda

A PyTorch implementation for Asymmetric Tri-training for Unsupervised Domain Adaptation

Features

  • General Adaptation Techniques - Implements associative domain adaptation in PyTorch.

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Pytorch Atda 的开源替代方案

相似的开源项目,按与 Pytorch Atda 的功能重合度排序。
  • bit-da/ddaBIT-DA 的头像

    BIT-DA/DDA

    34在 GitHub 上查看↗

    Code release for "Dynamic Domain Adaptation for Efficient Inference" (CVPR 2021)

    Python
    在 GitHub 上查看↗34
  • bit-da/tsaBIT-DA 的头像

    BIT-DA/TSA

    76在 GitHub 上查看↗

    CVPR 2021 Oral Code release for "Transferable Semantic Augmentation for Domain Adaptation"

    Python
    在 GitHub 上查看↗76
  • cuishuhao/bnmcuishuhao 的头像

    cuishuhao/BNM

    271在 GitHub 上查看↗

    code of Towards Discriminability and Diversity: Batch Nuclear-norm Maximization under Label Insufficient Situations (CVPR2020 oral)

    Python
    在 GitHub 上查看↗271
  • astuti/ila-daastuti 的头像

    astuti/ILA-DA

    25在 GitHub 上查看↗

    More Details coming soon. If you have any questions regarding our code, please contact asharma@eng.ucsd.edu ILA-DA CVPR2021

    Python
    在 GitHub 上查看↗25
查看 Pytorch Atda 的所有 26 个替代方案→

常见问题解答

corenel/pytorch-atda 是做什么的?

A PyTorch implementation for Asymmetric Tri-training for Unsupervised Domain Adaptation

corenel/pytorch-atda 的主要功能有哪些?

corenel/pytorch-atda 的主要功能包括:General Adaptation Techniques。

corenel/pytorch-atda 有哪些开源替代品?

corenel/pytorch-atda 的开源替代品包括: bit-da/dda — Code release for "Dynamic Domain Adaptation for Efficient Inference" (CVPR 2021). bit-da/tsa — [CVPR 2021 Oral] Code release for "Transferable Semantic Augmentation for Domain Adaptation". cuishuhao/bnm — code of Towards Discriminability and Diversity: Batch Nuclear-norm Maximization under Label Insufficient Situations… enesdoruk/transadapter — TransAdapter: Vision Transformer for Feature-Centric Unsupervised Domain Adaptation. gt-ripl/l2c — Learning to Cluster. A deep clustering strategy. astuti/ila-da — More Details coming soon. If you have any questions regarding our code, please contact asharma@eng.ucsd.edu ILA-DA…