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 441–450 of 1149 papers

TitleStatusHype
ScaleLong: A Multi-Timescale Benchmark for Long Video UnderstandingCode0
MaCP: Minimal yet Mighty Adaptation via Hierarchical Cosine Projection—0
Multi-RAG: A Multimodal Retrieval-Augmented Generation System for Adaptive Video Understanding—0
Universal Visuo-Tactile Video Understanding for Embodied Interaction—0
Two Causally Related Needles in a Video Haystack—0
TUNA: Comprehensive Fine-grained Temporal Understanding Evaluation on Dense Dynamic VideosCode0
AdaTP: Attention-Debiased Token Pruning for Video Large Language Models—0
Sparse-to-Dense: A Free Lunch for Lossless Acceleration of Video Understanding in LLMs—0
Deep Video Discovery: Agentic Search with Tool Use for Long-form Video Understanding—0
SoccerChat: Integrating Multimodal Data for Enhanced Soccer Game UnderstandingCode0
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