Don't Judge by the Look: A Motion Coherent Augmentation for Video Recognition

arXiv:2403.09506v1 Announce Type: cross
Abstract: Current training pipelines in object recognition neglect Hue Jittering when doing data augmentation as it not only brings appearance changes that are detrimental to classification, but also the implementation is inefficient in practice. In this study, we investigate the effect of hue variance in the context of video recognition and find this variance to be beneficial since static appearances are less important in videos that contain motion information. Based on this observation, we propose a …

arxiv augmentation cs.ai cs.cv cs.lg judge look recognition type video