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 11–20 of 1149 papers

TitleStatusHype
OMG-LLaVA: Bridging Image-level, Object-level, Pixel-level Reasoning and UnderstandingCode5
ShareGPT4Video: Improving Video Understanding and Generation with Better CaptionsCode5
VideoMamba: State Space Model for Efficient Video UnderstandingCode5
Kwai Keye-VL Technical ReportCode4
VideoEval-Pro: Robust and Realistic Long Video Understanding EvaluationCode4
Eagle 2.5: Boosting Long-Context Post-Training for Frontier Vision-Language ModelsCode4
VLog: Video-Language Models by Generative Retrieval of Narration VocabularyCode4
Unified Reward Model for Multimodal Understanding and GenerationCode4
Tarsier2: Advancing Large Vision-Language Models from Detailed Video Description to Comprehensive Video UnderstandingCode4
Video-XL: Extra-Long Vision Language Model for Hour-Scale Video UnderstandingCode4
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