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 731–740 of 1149 papers

TitleStatusHype
ContextDet: Temporal Action Detection with Adaptive Context Aggregation—0
Context Modulated Dynamic Networks for Actor and Action Video Segmentation with Language Queries—0
Contrastive Language-Action Pre-training for Temporal Localization—0
Contrastive Language Video Time Pre-training—0
CoS: Chain-of-Shot Prompting for Long Video Understanding—0
CRCL: Causal Representation Consistency Learning for Anomaly Detection in Surveillance Videos—0
Cross-Attentional Audio-Visual Fusion for Weakly-Supervised Action Localization—0
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
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