VideoDG: Generalizing Temporal Relations in Videos to Novel Domains

A PyTorch implementation of APN, a differentiable framework named adversarial pyramid network is a new deep architecture thatimproves the generalizability of video features by capturing the local-relation, global-relation, and cross-relation features progressively. Based on these pyramid features, we also propose a new adversarial data augmentation approach that can enhance the diversity and qualityof the augmented data to bridge different video domains.

This paper is accepted by TPAMI2021.

Get Started

1. Install Python 3.7, PyTorch 1.3, and OpenCV 3.4.

2. Train the model. You can use the following bash script to train the model.

sh train.sh

Contact

You may send email to [email protected], [email protected] or [email protected].