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 541–550 of 1149 papers

TitleStatusHype
Hierarchical Action Recognition: A Contrastive Video-Language Approach with Hierarchical Interactions—0
HFGCN:Hypergraph Fusion Graph Convolutional Networks for Skeleton-Based Action Recognition—0
Deep learning for action spotting in association football videos—0
HENASY: Learning to Assemble Scene-Entities for Egocentric Video-Language Model—0
DANTE-AD: Dual-Vision Attention Network for Long-Term Audio Description—0
Action Reimagined: Text-to-Pose Video Editing for Dynamic Human Actions—0
Cycle-Contrast for Self-Supervised Video Representation Learning—0
A Unified Model for Video Understanding and Knowledge Embedding with Heterogeneous Knowledge Graph Dataset—0
HAVANA: Hierarchical stochastic neighbor embedding for Accelerated Video ANnotAtions—0
Aggregating Frame-level Features for Large-Scale Video Classification—0
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