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 21–30 of 1149 papers

TitleStatusHype
Tarsier2: Advancing Large Vision-Language Models from Detailed Video Description to Comprehensive Video UnderstandingCode4
An Image is Worth 1/2 Tokens After Layer 2: Plug-and-Play Inference Acceleration for Large Vision-Language ModelsCode4
Kwai Keye-VL Technical ReportCode4
Tarsier: Recipes for Training and Evaluating Large Video Description ModelsCode4
InternVideo: General Video Foundation Models via Generative and Discriminative LearningCode4
MovieChat+: Question-aware Sparse Memory for Long Video Question AnsweringCode4
Eagle 2.5: Boosting Long-Context Post-Training for Frontier Vision-Language ModelsCode4
PLLaVA : Parameter-free LLaVA Extension from Images to Videos for Video Dense CaptioningCode4
A Survey on Video Diffusion ModelsCode4
Goldfish: Vision-Language Understanding of Arbitrarily Long VideosCode4
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