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XTU-thesis

Xiangtan University Undergraduate Thesis

Paper-Reading

Some .md notes about Semi-Supervised Learning, Generative Adversarial Networks and Domain Adaptation's paper.

Thesis-Template

A LaTeX template about Xiangtan University's undergraduate thesis.

You can use your LaTeX compile to run the xtuthesis.tex to complete your abstrct(by modifing the abstract.tex), body, reference, acknowledgements and appendix.

And you should modify the cover-template.doc to complete your cover and some other preface part.

$DA^2L$

Code Release for "Domain Adaptation Based on Adversarial Learning".

Enviroment

Ubuntu 20.04 LTS

Nvidia GeForce RTX 3090

Python 3.7

PyTorch 1.7.1

pip install -r requirements.txt

Usage

  • download datasets(Office-31, Office-Home, VisDA2017, DomainNet et al.) and pretrained models(such as ResNet50)

  • write your tran & test config file

  • train:

    python main.py --config config/(train_config_name).yaml

  • test:

    python main.py --config config/(test_config_name).yaml

  • monitor (tensorboard required):

    tensorboard --logdir log/(dataset)/(time)/

Note

Inspired by youkaichao and zhuohuangai.