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 1071–1080 of 1149 papers

TitleStatusHype
Selective Structured State-Spaces for Long-Form Video Understanding—0
Self-alignment of Large Video Language Models with Refined Regularized Preference Optimization—0
Self-ReS: Self-Reflection in Large Vision-Language Models for Long Video Understanding—0
Self-supervised Motion Representation via Scattering Local Motion Cues—0
Self-Supervised Object Detection from Egocentric Videos—0
Self-Supervised Spatiotemporal Feature Learning via Video Rotation Prediction—0
Self-supervised video pretraining yields robust and more human-aligned visual representations—0
Semantics-aware Test-time Adaptation for 3D Human Pose Estimation—0
Semantic Segmentation on VSPW Dataset through Masked Video Consistency—0
Semi-Parametric Video-Grounded Text Generation—0
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