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 161–170 of 1149 papers

TitleStatusHype
Fact-R1: Towards Explainable Video Misinformation Detection with Deep ReasoningCode1
LoVR: A Benchmark for Long Video Retrieval in Multimodal ContextsCode1
Uncertainty-Weighted Image-Event Multimodal Fusion for Video Anomaly DetectionCode1
VideoHallu: Evaluating and Mitigating Multi-modal Hallucinations on Synthetic Video UnderstandingCode1
TEMPURA: Temporal Event Masked Prediction and Understanding for Reasoning in ActionCode1
VideoMultiAgents: A Multi-Agent Framework for Video Question AnsweringCode1
IV-Bench: A Benchmark for Image-Grounded Video Perception and Reasoning in Multimodal LLMsCode1
VistaDPO: Video Hierarchical Spatial-Temporal Direct Preference Optimization for Large Video ModelsCode1
Multimodal Long Video Modeling Based on Temporal Dynamic ContextCode1
F^3Set: Towards Analyzing Fast, Frequent, and Fine-grained Events from VideosCode1
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