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
VideoChat: Chat-Centric Video UnderstandingCode4
MiniGPT4-Video: Advancing Multimodal LLMs for Video Understanding with Interleaved Visual-Textual TokensCode4
VideoEval-Pro: Robust and Realistic Long Video Understanding EvaluationCode4
VLog: Video-Language Models by Generative Retrieval of Narration VocabularyCode4
TimeChat-Online: 80% Visual Tokens are Naturally Redundant in Streaming VideosCode3
Hawk: Learning to Understand Open-World Video AnomaliesCode3
Harnessing Temporal Causality for Advanced Temporal Action DetectionCode3
Towards Universal Soccer Video UnderstandingCode3
SlowFast-LLaVA: A Strong Training-Free Baseline for Video Large Language ModelsCode3
SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model InferenceCode3
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