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 521–530 of 1149 papers

TitleStatusHype
HumanOmni: A Large Vision-Speech Language Model for Human-Centric Video Understanding—0
FE-Adapter: Adapting Image-based Emotion Classifiers to Videos—0
MaxInfo: A Training-Free Key-Frame Selection Method Using Maximum Volume for Enhanced Video Understanding—0
DenseImage Network: Video Spatial-Temporal Evolution Encoding and Understanding—0
AVD2: Accident Video Diffusion for Accident Video Description—0
How Well Can General Vision-Language Models Learn Medicine By Watching Public Educational Videos?—0
How to Make a BLT Sandwich? Learning to Reason towards Understanding Web Instructional Videos—0
Hierarchical Video Frame Sequence Representation with Deep Convolutional Graph Network—0
Memory Consolidation Enables Long-Context Video Understanding—0
Memory-Guided Semantic Learning Network for Temporal Sentence Grounding—0
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