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 961–970 of 1149 papers

TitleStatusHype
Perceptron Synthesis Network: Rethinking the Action Scale Variances in Videos—0
Video Domain Incremental Learning for Human Action Recognition in Home Environments—0
Video Event Reasoning and Prediction by Fusing World Knowledge from LLMs with Vision Foundation Models—0
VideoExpert: Augmented LLM for Temporal-Sensitive Video Understanding—0
VideoGLUE: Video General Understanding Evaluation of Foundation Models—0
Video-GroundingDINO: Towards Open-Vocabulary Spatio-Temporal Video Grounding—0
VideoGrounding-DINO: Towards Open-Vocabulary Spatio-Temporal Video Grounding—0
VideoHallucer: Evaluating Intrinsic and Extrinsic Hallucinations in Large Video-Language Models—0
VideoITG: Multimodal Video Understanding with Instructed Temporal Grounding—0
Video Language Model Pretraining with Spatio-temporal Masking—0
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