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 1061–1070 of 1149 papers

TitleStatusHype
ReWind: Understanding Long Videos with Instructed Learnable Memory—0
SA-NET.v2: Real-time vehicle detection from oblique UAV images with use of uncertainty estimation in deep meta-learning—0
SAVEn-Vid: Synergistic Audio-Visual Integration for Enhanced Understanding in Long Video Context—0
Scene-centric Joint Parsing of Cross-view Videos—0
Scene Detection Policies and Keyframe Extraction Strategies for Large-Scale Video Analysis—0
SceneRAG: Scene-level Retrieval-Augmented Generation for Video Understanding—0
MM-SEAL: A Large-scale Video Dataset of Multi-person Multi-grained Spatio-temporally Action Localization—0
SEAL: Semantic Attention Learning for Long Video Representation—0
Search-Map-Search: A Frame Selection Paradigm for Action Recognition—0
Seed1.5-VL Technical Report—0
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