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 641–650 of 1149 papers

TitleStatusHype
Situational Scene Graph for Structured Human-centric Situation UnderstandingCode0
Zero-Shot Action Recognition in Surveillance Videos—0
Egocentric and Exocentric Methods: A Short Survey—0
Adaptive Video Understanding Agent: Enhancing efficiency with dynamic frame sampling and feedback-driven reasoning—0
EVA: An Embodied World Model for Future Video Anticipation—0
ContextDet: Temporal Action Detection with Adaptive Context Aggregation—0
FIOVA: A Multi-Annotator Benchmark for Human-Aligned Video Captioning—0
Making Every Frame Matter: Continuous Video Understanding for Large Models via Adaptive State Modeling—0
Zero-shot Action Localization via the Confidence of Large Vision-Language Models—0
VidCompress: Memory-Enhanced Temporal Compression for Video Understanding in Large Language Models—0
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