Non-co-occurrence enhanced Multi-label cross-modal hashing retrieval based on Graph Convolutional Network

Supervised cross-modal retrieval has significant advantages in retrieval efficiency and storage cost. In the field of hashing retrieval, existing supervised methods are divided into single-label and multi-label methods. For the single-label method, simply using a single label to measure the semantic...

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Veröffentlicht in:	IEEE access 2023-01, Vol.11, p.1-1
Hauptverfasser:	Li, Mingyong, Fan, Jiabao, Lin, Ziyong
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial neural networks Convolutional neural networks Data mining Feature extraction Graph Convolutional Network IEEE Sections Measurement methods Multi-label method Non-co-occurrence enhanced hashing retrieval Retrieval Semantics Similarity Snow Training
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