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 961–970 of 1149 papers

TitleStatusHype
Measure Twice, Cut Once: Grasping Video Structures and Event Semantics with LLMs for Video Temporal Localization—0
Memory Consolidation Enables Long-Context Video Understanding—0
Memory-enhanced Retrieval Augmentation for Long Video Understanding—0
Memory-Guided Semantic Learning Network for Temporal Sentence Grounding—0
MeMSVD: Long-Range Temporal Structure Capturing Using Incremental SVD—0
MERLOT Reserve: Neural Script Knowledge through Vision and Language and Sound—0
Mid-level Representation for Visual Recognition—0
Mimic The Raw Domain: Accelerating Action Recognition in the Compressed Domain—0
M-LLM Based Video Frame Selection for Efficient Video Understanding—0
MLVTG: Mamba-Based Feature Alignment and LLM-Driven Purification for Multi-Modal Video Temporal Grounding—0
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