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 661–670 of 1149 papers

TitleStatusHype
Deep learning for action spotting in association football videos—0
UAL-Bench: The First Comprehensive Unusual Activity Localization BenchmarkCode0
ScVLM: Enhancing Vision-Language Model for Safety-Critical Event UnderstandingCode0
Visual Context Window Extension: A New Perspective for Long Video Understanding—0
MM1.5: Methods, Analysis & Insights from Multimodal LLM Fine-tuning—0
Q-Bench-Video: Benchmarking the Video Quality Understanding of LMMs—0
Temporal2Seq: A Unified Framework for Temporal Video Understanding Tasks—0
EAGLE: Egocentric AGgregated Language-video Engine—0
LLM4Brain: Training a Large Language Model for Brain Video Understanding—0
Can CLIP Count Stars? An Empirical Study on Quantity Bias in CLIP—0
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