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 391400 of 1149 papers

TitleStatusHype
Tree-Structured Policy based Progressive Reinforcement Learning for Temporally Language Grounding in VideoCode1
Temporal Interlacing NetworkCode1
EEV: A Large-Scale Dataset for Studying Evoked Expressions from VideoCode1
A Multigrid Method for Efficiently Training Video ModelsCode1
CATER: A diagnostic dataset for Compositional Actions and TEmporal ReasoningCode1
Lightweight Network Architecture for Real-Time Action RecognitionCode1
Large Scale Holistic Video UnderstandingCode1
TSM: Temporal Shift Module for Efficient Video UnderstandingCode1
VirtualHome: Simulating Household Activities via ProgramsCode1
AVA: A Video Dataset of Spatio-temporally Localized Atomic Visual ActionsCode1
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