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 611–620 of 1149 papers

TitleStatusHype
Retrieval-based Video Language Model for Efficient Long Video Question Answering—0
MoVQA: A Benchmark of Versatile Question-Answering for Long-Form Movie Understanding—0
Action Scene Graphs for Long-Form Understanding of Egocentric VideosCode1
HIG: Hierarchical Interlacement Graph Approach to Scene Graph Generation in Video Understanding—0
VaQuitA: Enhancing Alignment in LLM-Assisted Video Understanding—0
TimeChat: A Time-sensitive Multimodal Large Language Model for Long Video UnderstandingCode2
Zero-Shot Video Question Answering with Procedural Programs—0
DEVIAS: Learning Disentangled Video Representations of Action and SceneCode1
Multi-Modal Video Topic Segmentation with Dual-Contrastive Domain Adaptation—0
Spacewalk-18: A Benchmark for Multimodal and Long-form Procedural Video Understanding—0
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