Attention feature matching for weakly-supervised video relocalization
Haoyu Tang, Jihua Zhu, Zan Gao, Tao Zhuo, Zhiyong Cheng · 2021
Localizing the desired video clip for a given query in an untrimmed video has been a hot research topic for multimedia understanding. Recently, a new task named video relocalization, in which the query is a video clip, has been raised. Some methods have been developed for this task, however, these methods often require dense annotations of the temporal boundaries inside long videos for training. A more practical solution is the weakly-supervised approach, which only needs the matching information between the query and video.