Multi-modal semantic autoencoder for cross-modal retrieval

Cross-modal retrieval has gained much attention in recent years. As the research mainstream, most of existing approaches learn projections for data from different modalities into a common space where data can be compared directly. However, they neglect the preservation of feature and semantic inform...

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Vydané v:	Neurocomputing (Amsterdam) Ročník 331; s. 165 - 175
Hlavní autori:	Wu, Yiling, Wang, Shuhui, Huang, Qingming
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier B.V 28.02.2019
Predmet:	Autoencoder Cross-modal retrieval Multi-modal data Autoencoder Multi-modal data Cross-modal retrieval
ISSN:	0925-2312, 1872-8286
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