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 121–130 of 1149 papers

TitleStatusHype
AdaReTaKe: Adaptive Redundancy Reduction to Perceive Longer for Video-language UnderstandingCode2
Multi-granularity Correspondence Learning from Long-term Noisy VideosCode2
Neptune: The Long Orbit to Benchmarking Long Video UnderstandingCode2
MMVU: Measuring Expert-Level Multi-Discipline Video UnderstandingCode2
Mobile-VideoGPT: Fast and Accurate Video Understanding Language ModelCode2
Dense Connector for MLLMsCode2
Adaptive Keyframe Sampling for Long Video UnderstandingCode2
MovieChat: From Dense Token to Sparse Memory for Long Video UnderstandingCode2
OmAgent: A Multi-modal Agent Framework for Complex Video Understanding with Task Divide-and-ConquerCode2
LongVLM: Efficient Long Video Understanding via Large Language ModelsCode2
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