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 641–650 of 1149 papers

TitleStatusHype
A Decade of Action Quality Assessment: Largest Systematic Survey of Trends, Challenges, and Future Directions—0
Adversarial Machine Learning Attacks Against Video Anomaly Detection Systems—0
Adversarial Robustness in RGB-Skeleton Action Recognition: Leveraging Attention Modality Reweighter—0
AE-Net:Adjoint Enhancement Network for Efficient Action Recognition in Video Understanding—0
AFO-TAD: Anchor-free One-Stage Detector for Temporal Action Detection—0
Aggregating Frame-level Features for Large-Scale Video Classification—0
AirLetters: An Open Video Dataset of Characters Drawn in the Air—0
Aligned Better, Listen Better for Audio-Visual Large Language Models—0
ALLVB: All-in-One Long Video Understanding Benchmark—0
AMEGO: Active Memory from long EGOcentric videos—0
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