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 521–530 of 1149 papers

TitleStatusHype
Vision Mamba: A Comprehensive Survey and TaxonomyCode2
Snippet-Aware Transformer With Multiple Action Elements for Skeleton-Based Action SegmentationCode0
Foundation Models for Video Understanding: A SurveyCode2
How Good is my Video LMM? Complex Video Reasoning and Robustness Evaluation Suite for Video-LMMs—0
WorldQA: Multimodal World Knowledge in Videos through Long-Chain Reasoning—0
Learning text-to-video retrieval from image captioning—0
Open-Set Video-based Facial Expression Recognition with Human Expression-sensitive Prompting—0
MovieChat+: Question-aware Sparse Memory for Long Video Question AnsweringCode4
PLLaVA : Parameter-free LLaVA Extension from Images to Videos for Video Dense CaptioningCode4
SFMViT: SlowFast Meet ViT in Chaotic WorldCode1
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