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 451–460 of 1149 papers

TitleStatusHype
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
LiveVLM: Efficient Online Video Understanding via Streaming-Oriented KV Cache and Retrieval—0
Clapper: Compact Learning and Video Representation in VLMs—0
Leveraging Foundation Models for Multimodal Graph-Based Action Recognition—0
ViaRL: Adaptive Temporal Grounding via Visual Iterated Amplification Reinforcement Learning—0
Domain Adaptation of VLM for Soccer Video Understanding—0
A Challenge to Build Neuro-Symbolic Video AgentsCode0
Breaking Down Video LLM Benchmarks: Knowledge, Spatial Perception, or True Temporal Understanding?—0
Temporal-Oriented Recipe for Transferring Large Vision-Language Model to Video UnderstandingCode0
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