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 751–760 of 1149 papers

TitleStatusHype
Development of a MultiModal Annotation Framework and Dataset for Deep Video Understanding—0
Discerning Generic Event Boundaries in Long-Form Wild Videos—0
Discrete neural representations for explainable anomaly detection—0
Disentangle and denoise: Tackling context misalignment for video moment retrieval—0
Distantly Supervised Semantic Text Detection and Recognition for Broadcast Sports Videos Understanding—0
DLM-VMTL:A Double Layer Mapper for heterogeneous data video Multi-task prompt learning—0
DMC-Net: Generating Discriminative Motion Cues for Fast Compressed Video Action Recognition—0
DOAD: Decoupled One Stage Action Detection Network—0
DocVideoQA: Towards Comprehensive Understanding of Document-Centric Videos through Question Answering—0
Domain Adaptation of VLM for Soccer Video Understanding—0
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