/REN

Code for paper "Robust Ensembling Network for Unsupervised Domain Adaptation", by Han Sun, Lei Lin, Ningzhong Liu, and Huiyu Zhou.

Primary LanguagePython

REN

Code for paper "Robust Ensembling Network for Unsupervised Domain Adaptation", by Han Sun, Lei Lin, Ningzhong Liu, and Huiyu Zhou.

Prerequisites

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

Dataset

Office-31 (https://people.eecs.berkeley.edu/~jhoffman/domainadapt/)
Office-Home (http://hemanthdv.org/OfficeHome-Dataset/)
VisDA-2017 (https://github.com/VisionLearningGroup/taskcv-2017-public)
Image-clef (https://drive.google.com/file/d/0B9kJH0-rJ2uRS3JILThaQXJhQlk/view)

Training

Office-31

sh bash/office31.sh

Office-Home

sh bash/office-home.sh

VisDA 2017

sh bash/visda.sh

Image-clef

sh bash/im-clef.sh

Testing

sh bash/test_gpu0.sh