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 131–140 of 1149 papers

TitleStatusHype
Chat-UniVi: Unified Visual Representation Empowers Large Language Models with Image and Video UnderstandingCode2
A Content-Driven Micro-Video Recommendation Dataset at ScaleCode2
MovieChat: From Dense Token to Sparse Memory for Long Video UnderstandingCode2
A Survey on Open-Vocabulary Detection and Segmentation: Past, Present, and FutureCode2
Valley: Video Assistant with Large Language model Enhanced abilitYCode2
Youku-mPLUG: A 10 Million Large-scale Chinese Video-Language Dataset for Pre-training and BenchmarksCode2
Query-Dependent Video Representation for Moment Retrieval and Highlight DetectionCode2
AIM: Adapting Image Models for Efficient Video Action RecognitionCode2
UniFormerV2: Spatiotemporal Learning by Arming Image ViTs with Video UniFormerCode2
Temporal Action Segmentation: An Analysis of Modern TechniquesCode2
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