Partial Adversarial Temporal Attentive Network (PATAN)
This repository is the demo code for the ICCV 2021 paper "Partial Video Domain Adaptation with Partial Adversarial Temporal Attentive Network". This repository is built based on the MFNet repository. We thank the authors of MFNet for their excellent work.
Prerequisites
This repository is built with PyTorch, with the following packages necessary for training and testing:
PyTorch (1.2.0 recommended)
opencv-python (pip)
easydl (pip)
Project Detail and Dataset Download
Please visit our project page to find out details of this work and to download the dataset.
Training and Testing
To train the dataset, simply run:
python train_da.py
Alternatively, you may test with the simple DANN with:
python train_da.py --da-method DANN
To test the dataset, change directory to the '/test' folder and run:
python evaluate_da.py