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 71–80 of 1149 papers

TitleStatusHype
Deep Video Discovery: Agentic Search with Tool Use for Long-form Video Understanding—0
QuickVideo: Real-Time Long Video Understanding with System Algorithm Co-DesignCode2
SoccerChat: Integrating Multimodal Data for Enhanced Soccer Game UnderstandingCode0
Fact-R1: Towards Explainable Video Misinformation Detection with Deep ReasoningCode1
Four Eyes Are Better Than Two: Harnessing the Collaborative Potential of Large Models via Differentiated Thinking and Complementary Ensembles—0
ViQAgent: Zero-Shot Video Question Answering via Agent with Open-Vocabulary Grounding ValidationCode0
ViaRL: Adaptive Temporal Grounding via Visual Iterated Amplification Reinforcement Learning—0
Leveraging Foundation Models for Multimodal Graph-Based Action Recognition—0
LiveVLM: Efficient Online Video Understanding via Streaming-Oriented KV Cache and Retrieval—0
Clapper: Compact Learning and Video Representation in VLMs—0
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