/Mutual-to-Separate

Code release for Mind the Gap: Enlarging the Domain Gap in Open Set Domain Adaptation (TCSVT 2023)

Primary LanguagePythonMIT LicenseMIT

Mind the Gap: Open Set Domain Adaptation via Mutual-to-Separate Framework

Code release for Mind the Gap: Open Set Domain Adaptation via Mutual-to-Separate Framework [TCSVT 2023]

Dataset

OFFICE-Home

Requirements

  • python 3.6
  • PyTorch 1.1.0
  • torchvision 0.3.0
  • Tensorflow 1.9.0
  • Tensorlayer 1.11
  • Tensorboard
  • tensorpack

GPU Version

  • 1080ti

Training

  • Download datasets
  • Train: python Office_Home.py "Art" "Clipart" "0" "A_C" 0.2 0.2
  • Description: PyTorch Open-set OFFICE-HOME Training with ResNet50 (PRE-TRAINED WITH IMAGENET).

Reference codes

https://github.com/thuml/easydl

Citation

If you find this paper useful in your research, please consider citing:

@ARTICLE{chang_Mind, 
author={Dongliang Chang, Aneeshan Sain, Zhanyu Ma, Yi-Zhe Song, Ruiping Wang, and Jun Guo}, 
journal={IEEE Transactions on Circuits and Systems for Video Technology}, 
title={Mind the Gap: Open Set Domain Adaptation via Mutual-to-Separate Framework}, 
year={2023},
doi={10.1109/TCSVT.2023.3326862}}

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