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 701–710 of 1149 papers

TitleStatusHype
Extending Video Masked Autoencoders to 128 frames—0
Extensible Hierarchical Method of Detecting Interactive Actions for Video Understanding—0
Real-Time Segmentation Networks should be Latency Aware—0
Fast Retinomorphic Event Stream for Video Recognition and Reinforcement Learning—0
FaVChat: Unlocking Fine-Grained Facail Video Understanding with Multimodal Large Language Models—0
FAVOR-Bench: A Comprehensive Benchmark for Fine-Grained Video Motion Understanding—0
Fewer Tokens and Fewer Videos: Extending Video Understanding Abilities in Large Vision-Language Models—0
Fill-in-the-Blank: A Challenging Video Understanding Evaluation Framework—0
Fine-Grain Annotation of Cricket Videos—0
Fine-Grained Video Captioning through Scene Graph Consolidation—0
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