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 791–800 of 1149 papers

TitleStatusHype
X4D-SceneFormer: Enhanced Scene Understanding on 4D Point Cloud Videos through Cross-modal Knowledge TransferCode0
Audio-Visual LLM for Video Understanding—0
MoVQA: A Benchmark of Versatile Question-Answering for Long-Form Movie Understanding—0
Retrieval-based Video Language Model for Efficient Long Video Question Answering—0
HIG: Hierarchical Interlacement Graph Approach to Scene Graph Generation in Video Understanding—0
VaQuitA: Enhancing Alignment in LLM-Assisted Video Understanding—0
Zero-Shot Video Question Answering with Procedural Programs—0
Spacewalk-18: A Benchmark for Multimodal and Long-form Procedural Video Understanding—0
Multi-Modal Video Topic Segmentation with Dual-Contrastive Domain Adaptation—0
GPT4Video: A Unified Multimodal Large Language Model for lnstruction-Followed Understanding and Safety-Aware Generation—0
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