Code for submission Hierarchical Feature Disentangle Network for Universal Domain Adaptation

Requirements

The code has been tested running under Python 3.7, with the following packages installed (along with their dependencies):

• pytorch == 1.2
• tensorboard == 2.0.0

Files in the folder

• mdata/: tool functions of handling data input.
• mground/: utilities.
• mtrain/: training functions.
• mmodel/: impalements of models.
  • mmodel/TFDN: impalements of TFDN.

Parameters

All parameters for training can be modified in mmodel/basic_params.py and mmodel/TFDN/basic_params.py.

Datasets

Dataset should be placed in DATASET/ folder with dataset name. For example, put OfficeHone dataset at DATASET/OFFICEHOME/.