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 41–50 of 1149 papers

TitleStatusHype
MA-LMM: Memory-Augmented Large Multimodal Model for Long-Term Video UnderstandingCode3
LongLLaVA: Scaling Multi-modal LLMs to 1000 Images Efficiently via a Hybrid ArchitectureCode3
Valley2: Exploring Multimodal Models with Scalable Vision-Language DesignCode3
Harnessing Temporal Causality for Advanced Temporal Action DetectionCode3
Hawk: Learning to Understand Open-World Video AnomaliesCode3
TimeChat-Online: 80% Visual Tokens are Naturally Redundant in Streaming VideosCode3
SlowFast-LLaVA: A Strong Training-Free Baseline for Video Large Language ModelsCode3
Flash-VStream: Memory-Based Real-Time Understanding for Long Video StreamsCode3
SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model InferenceCode3
Towards Universal Soccer Video UnderstandingCode3
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