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 1081–1090 of 1149 papers

TitleStatusHype
Localizing Moments in Video with Temporal LanguageCode0
End-to-End Joint Semantic Segmentation of Actors and Actions in Video—0
Teaching Machines to Understand Baseball Games: Large-Scale Baseball Video Database for Multiple Video Understanding Tasks—0
Constrained-size Tensorflow Models for YouTube-8M Video Understanding ChallengeCode0
Diagnosing Error in Temporal Action DetectorsCode0
Video Time: Properties, Encoders and Evaluation—0
Query-Conditioned Three-Player Adversarial Network for Video Summarization—0
When Work Matters: Transforming Classical Network Structures to Graph CNN—0
Long Activity Video Understanding using Functional Object-Oriented Network—0
Deep Spatio-Temporal Random Fields for Efficient Video Segmentation—0
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