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Effective Comparative Prototype Hashing for Unsupervised Domain Adaptation (AAAI 2024)

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CPH

The codes of paper Effective Comparative Prototype Hashing for Unsupervised Domain Adaptation, AAAI 2024.

https://ojs.aaai.org/index.php/AAAI/article/view/28674

Prerequisites

Requirements for pytorch

Usage

We integrate train step and test step in a bash file T00X_{dataset}.sh, please run it as follows:

./T001_office_home.sh
./T002_office_31.sh
./T003_digits.sh

If you find our approach useful in your research, please consider citing:

@inproceedings{CPH2024,

author = {Hui Cui and Lihai Zhao and Fengling Li and Lei Zhu and Xiaohui Han and Jingjing Li},

title = {Effective Comparative Prototype Hashing for Unsupervised Domain Adaptation},

booktitle = {AAAI},

pages = {8329--8337},

year = {2024} }

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