RUDA implemented in PyTorch

To appear at ECML-PKDD2020 https://ecmlpkdd2020.net/ (Best (student) ML paper award)

Based on implementation from https://github.com/thuml/CDAN

Folders

• pytorch (where .py are stored)
• data (where data is stored)
  • 1 folder for each dataset.
  • .txt file with path to images are stored here.

Prerequisites

• PyTorch >= 0.4.0 (with suitable CUDA and CuDNN version)
• torchvision >= 0.2.1
• Python3
• Numpy
• argparse
• PIL

Data

• Digits : https://drive.google.com/file/d/1Y0wT_ElbDcnFxtu25MB74npURwwijEdT/view?usp=drive_open
• Office31 : https://people.eecs.berkeley.edu/~jhoffman/domainadapt/
• Office-Home : http://hemanthdv.org/OfficeHome-Dataset/

Training

python train_image_submission.py

Details about arguments: python train_image_submission.py -h