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

Showing 3140 of 1149 papers

TitleStatusHype
Video-LLaMA: An Instruction-tuned Audio-Visual Language Model for Video UnderstandingCode4
VideoChat: Chat-Centric Video UnderstandingCode4
InternVideo: General Video Foundation Models via Generative and Discriminative LearningCode4
Flamingo: a Visual Language Model for Few-Shot LearningCode4
Flash-VStream: Efficient Real-Time Understanding for Long Video StreamsCode3
TimeChat-Online: 80% Visual Tokens are Naturally Redundant in Streaming VideosCode3
VideoChat-R1: Enhancing Spatio-Temporal Perception via Reinforcement Fine-TuningCode3
XAttention: Block Sparse Attention with Antidiagonal ScoringCode3
VideoMind: A Chain-of-LoRA Agent for Long Video ReasoningCode3
EgoLife: Towards Egocentric Life AssistantCode3
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