Phase Randomization: A data augmentation for domain adaptation in human action recognition

Yu Mitsuzumi, Go Irie, Akisato Kimura, Atsushi Nakazawa

Abstract: Highlights•Data-efficient domain adaptation for subject-agnostic action recognition.•Phase Randomization data augmentation to disentangle action and subject features.•Extensive experiments on two action recognition benchmark tasks.