Exploiting Images for Video Recognition: Heterogeneous Feature Augmentation via Symmetric Adversarial Learning

摘要

Training deep models of video recognition usually requires sufficient labeled videos in order to achieve good performance without over-fitting. However, it is quite labor-intensive and time-consuming to collect and annotate a large amount of videos. Moreo