Long-video Activity Recognition
1 papers with code • 1 benchmarks • 1 datasets
Long-video Activity Recognition (LAR) focuses on modeling long-term relations among all actions in a long video. LAR aims to recognize all actions within each long video, under the weak supervision of the video-level action category set. The mean average precision metric (mAP) is used for evaluation.
Benchmarks
These leaderboards are used to track progress in Long-video Activity Recognition
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Breakfast
Most implemented papers
Timeception for Complex Action Recognition
noureldien/timeception
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CVPR 2019
This paper focuses on the temporal aspect for recognizing human activities in videos; an important visual cue that has long been undervalued.
