Learning from Weakly-Labeled Web Videos via Exploring Sub-concepts
Learning from Weakly-Labeled Web Videos via Exploring Sub-concepts
Learning visual knowledge from massive weakly-labeled web videos has attracted growing research interests thanks to the large corpus of easily accessible video data on the Internet. However, for video action recognition, the action of interest might only exist in arbitrary clips of untrimmed web videos, resulting in high label noises …