supported by the National Key Research and Development Program of China(2018AAA0100104 and 2018AAA0100100);the National Natural Science Foundation of China(Grant No.61702095);Natural Science Foundation of Jiangsu Province(BK20211164,BK20190341,and BK20210002);the Big Data Computing Center of Southeast University.
Temporal localization is crucial for action video recognition.Since the manual annotations are expensive and time-consuming in videos,temporal localization with weak video-level labels is challenging but indispensable...
The work was supported by the National Natural Science Foundation of China(Grant Nos.61722204,61732007 and 61632007).
Emerging Internet services and applications attract increasing users to involve in diverse video-related activities,such as video searching,video downloading,video sharing and so on.As normal operations,they lead to a...