/CSDN

Official repository of "Critical Classes and Samples Discovering for Partial Domain Adaptation", IEEE Transaction on Cybernetics

Primary LanguagePython

Critical Classes and Samples Discovering for Partial Domain Adaptation

Shuang Li, Kaixiong Gong, et al.

IEEE Transaction on Cybernetics (TCYB), 2022. [pdf]

This repository contains the code of our IEEE TCYB 2021 paper "Critical Classes and Samples Discovering for Partial Domain Adaptation".

Prerequisite

  • PyTorch >= 1.0.0
  • Python3
  • torchvision
  • PIL
  • argparse
  • numpy
  • tensorboardX

Getting Started

Train the method using the script:

sh scripts/office-31.sh

and you can alter the source & target list paths to specify the task for experiment.