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 271–280 of 1149 papers

TitleStatusHype
Learning Self-Similarity in Space and Time as Generalized Motion for Video Action RecognitionCode1
Learning Temporally Latent Causal Processes from General Temporal DataCode1
Learning Self-Similarity in Space and Time as a Generalized Motion for Action RecognitionCode1
Learning the Predictability of the FutureCode1
Enhancing Self-supervised Video Representation Learning via Multi-level Feature OptimizationCode1
A Simple LLM Framework for Long-Range Video Question-AnsweringCode1
Learning Optical Flow with Adaptive Graph ReasoningCode1
CEFHRI: A Communication Efficient Federated Learning Framework for Recognizing Industrial Human-Robot InteractionCode1
A Dataset for Medical Instructional Video Classification and Question AnsweringCode1
Learning Salient Boundary Feature for Anchor-free Temporal Action LocalizationCode1
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