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 391–400 of 1149 papers

TitleStatusHype
AirLetters: An Open Video Dataset of Characters Drawn in the Air—0
DTVLT: A Multi-modal Diverse Text Benchmark for Visual Language Tracking Based on LLM—0
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
Q-Bench-Video: Benchmarking the Video Quality Understanding of LMMs—0
MM1.5: Methods, Analysis & Insights from Multimodal LLM Fine-tuning—0
VideoINSTA: Zero-shot Long Video Understanding via Informative Spatial-Temporal Reasoning with LLMsCode1
Visual Context Window Extension: A New Perspective for Long Video Understanding—0
Temporal2Seq: A Unified Framework for Temporal Video Understanding Tasks—0
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