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 10911100 of 1149 papers

TitleStatusHype
Recurrent Space-time Graph Neural NetworksCode0
TUNA: Comprehensive Fine-grained Temporal Understanding Evaluation on Dense Dynamic VideosCode0
ACVUBench: Audio-Centric Video Understanding BenchmarkCode0
AssembleNet: Searching for Multi-Stream Neural Connectivity in Video ArchitecturesCode0
Win-Fail Action RecognitionCode0
VideoQA in the Era of LLMs: An Empirical StudyCode0
UAL-Bench: The First Comprehensive Unusual Activity Localization BenchmarkCode0
ActAlign: Zero-Shot Fine-Grained Video Classification via Language-Guided Sequence AlignmentCode0
EVA02-AT: Egocentric Video-Language Understanding with Spatial-Temporal Rotary Positional Embeddings and Symmetric OptimizationCode0
Enhancing Temporal Modeling of Video LLMs via Time GatingCode0
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