目录

• 一、引言
• 二、Datasets
• • 1、PACS
  • 2、 Office-Home
  • 3、 VLCS
  • 4、TerraIncognita （subset）
  • 5、DomainNet

一、引言

自从DomainBed在ICLR2021上横空出世之后，Domain Generalization任务看起来好像有了相对统一的标准，后续大量论文都是基于DomainBed框架实现。由于DG的benchmarks非常多，本文将列举主要的几个数据集的下载方式，以及注意事项。

二、Datasets

1、PACS

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Ps: 打开上述链接后直接点击图片可进入google云盘下载

@inproceedings{Li2017dg,title={Deeper, Broader and Artier Domain Generalization},author={Li, Da and Yang, Yongxin and Song, Yi-Zhe and Hospedales, Timothy},booktitle={International Conference on Computer Vision},year={2017}}

2、 Office-Home

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Ps: 打开上述链接后找到路径可进入google云盘下载

@inproceedings{venkateswara2017deep,title={Deep hashing network for unsupervised domain adaptation},author={Venkateswara, Hemanth and Eusebio, Jose and Chakraborty, Shayok and Panchanathan, Sethuraman},booktitle={Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition},pages={5018--5027},year={2017} }

3、 VLCS

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Ps: 打开上述链接后找到路径可进入google云盘下载

@INPROCEEDINGS{6751316,author={Fang, Chen and Xu, Ye and Rockmore, Daniel N.},booktitle={2013 IEEE International Conference on Computer Vision}, title={Unbiased Metric Learning: On the Utilization of Multiple Datasets and Web Images for Softening Bias}, year={2013},volume={},number={},pages={1657-1664},doi={10.1109/ICCV.2013.208}}

4、TerraIncognita （subset）

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Ps: 标签提取比较麻烦

@inproceedings{beery2018recognition,title={Recognition in terra incognita},author={Beery, Sara and Van Horn, Grant and Perona, Pietro},booktitle={Proceedings of the European conference on computer vision (ECCV)},pages={456--473},year={2018} }

5、DomainNet

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@inproceedings{peng2019moment,title={Moment matching for multi-source domain adaptation},author={Peng, Xingchao and Bai, Qinxun and Xia, Xide and Huang, Zijun and Saenko, Kate and Wang, Bo},booktitle={Proceedings of the IEEE International Conference on Computer Vision},pages={1406--1415},year={2019} }

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