MultiTHUMOS
Introduced by Yeung et al. in Every Moment Counts: Dense Detailed Labeling of Actions in Complex Videos
The MultiTHUMOS dataset contains dense, multilabel, frame-level action annotations for 30 hours across 400 videos in the THUMOS'14 action detection dataset. It consists of 38,690 annotations of 65 action classes, with an average of 1.5 labels per frame and 10.5 action classes per video.
Source: http://ai.stanford.edu/~syyeung/everymoment.htmlBenchmarks
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Multi-THUMOS
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MLAD
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MultiTHUMOS
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TriDet
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PAT
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Papers
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