Unsupervised Domain Adaptation for Video Transformers in Action Recognition

Understand

Over the last few years, Unsupervised Domain Adaptation (UDA) techniques have acquired remarkable importance and popularity in computer vision.

• However, when compared to the extensive literature available for images, the field of videos is still relatively unexplored.
• On the other hand, the performance of a model in action recognition is heavily affected by domain shift.
• In this paper, we propose a simple and novel UDA approach for video action recognition.