Litcius/Paper detail

MS<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si1.svg"><mml:msup><mml:mrow/><mml:mn>2</mml:mn></mml:msup></mml:math>GAH: Multi-label semantic supervised graph attention hashing for robust cross-modal retrieval

Youxiang Duan, Ning Chen, Peiying Zhang, Neeraj Kumar, Lunjie Chang, Wu Wen

2022Pattern Recognition53 citationsDOI

Topics & Concepts

Computer scienceHash functionBottleneckArtificial intelligenceSemantic gapSemantics (computer science)Theoretical computer scienceLeverage (statistics)Deep learningSemantic similarityGraphPattern recognition (psychology)Natural language processingAlgorithmMachine learningData miningImage retrievalEmbedded systemComputer securityProgramming languageImage (mathematics)Advanced Image and Video Retrieval TechniquesMultimodal Machine Learning ApplicationsAdvanced Neural Network Applications
MS<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si1.svg"><mml:msup><mml:mrow/><mml:mn>2</mml:mn></mml:msup></mml:math>GAH: Multi-label semantic supervised graph attention hashing for robust cross-modal retrieval | Litcius