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 261–270 of 1149 papers

TitleStatusHype
Learning Temporally Causal Latent Processes from General Temporal DataCode1
Learning the Predictability of the FutureCode1
Clover: Towards A Unified Video-Language Alignment and Fusion ModelCode1
CLIP4Clip: An Empirical Study of CLIP for End to End Video Clip RetrievalCode1
Learning Self-Similarity in Space and Time as Generalized Motion for Video Action RecognitionCode1
Learning Transferable Spatiotemporal Representations from Natural Script KnowledgeCode1
Learning Optical Flow with Adaptive Graph ReasoningCode1
Language Repository for Long Video UnderstandingCode1
Learning Salient Boundary Feature for Anchor-free Temporal Action LocalizationCode1
End-to-End Streaming Video Temporal Action Segmentation with Reinforce LearningCode1
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