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 711–720 of 1149 papers

TitleStatusHype
Dual-path Adaptation from Image to Video TransformersCode1
TemporalMaxer: Maximize Temporal Context with only Max Pooling for Temporal Action LocalizationCode1
Localizing Moments in Long Video Via Multimodal GuidanceCode1
Video4MRI: An Empirical Study on Brain Magnetic Resonance Image Analytics with CNN-based Video Classification Frameworks—0
MINOTAUR: Multi-task Video Grounding From Multimodal QueriesCode0
AIM: Adapting Image Models for Efficient Video Action RecognitionCode2
Semi-Parametric Video-Grounded Text Generation—0
Building Scalable Video Understanding Benchmarks through Sports—0
STPrivacy: Spatio-Temporal Privacy-Preserving Action Recognition—0
Test of Time: Instilling Video-Language Models with a Sense of TimeCode1
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