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

Showing 681690 of 1149 papers

TitleStatusHype
StimuVAR: Spatiotemporal Stimuli-aware Video Affective Reasoning with Multimodal Large Language Models0
Streamlining Forest Wildfire Surveillance: AI-Enhanced UAVs Utilizing the FLAME Aerial Video Dataset for Lightweight and Efficient Monitoring0
DLM-VMTL:A Double Layer Mapper for heterogeneous data video Multi-task prompt learning0
Kangaroo: A Powerful Video-Language Model Supporting Long-context Video Input0
Attend-Fusion: Efficient Audio-Visual Fusion for Video Classification0
LMM-VQA: Advancing Video Quality Assessment with Large Multimodal ModelsCode0
LongVILA: Scaling Long-Context Visual Language Models for Long Videos0
Flatten: Video Action Recognition is an Image Classification task0
Disentangle and denoise: Tackling context misalignment for video moment retrieval0
Spherical World-Locking for Audio-Visual Localization in Egocentric Videos0
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