SOTAVerified

Video Understanding

A crucial task of Video Understanding is to recognise and localise (in space and time) different actions or events appearing in the video.

Source: Action Detection from a Robot-Car Perspective

Papers

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Showing 631–640 of 1149 papers

TitleStatusHype
Cross-Class Relevance Learning for Temporal Concept Localization—0
CrossVideo: Self-supervised Cross-modal Contrastive Learning for Point Cloud Video Understanding—0
CTM: Collaborative Temporal Modeling for Action Recognition—0
Cultivating DNN Diversity for Large Scale Video Labelling—0
Cut-Based Graph Learning Networks to Discover Compositional Structure of Sequential Video Data—0
Cutup and Detect: Human Fall Detection on Cutup Untrimmed Videos Using a Large Foundational Video Understanding Model—0
Cycle-Contrast for Self-Supervised Video Representation Learning—0
DANTE-AD: Dual-Vision Attention Network for Long-Term Audio Description—0
Deep learning for action spotting in association football videos—0
Deep Spatio-Temporal Random Fields for Efficient Video Segmentation—0
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