Deep Multimodal Representation Learning: A Survey

Multimodal representation learning, which aims to narrow the heterogeneity gap among different modalities, plays an indispensable role in the utilization of ubiquitous multimodal data. Due to the powerful representation ability with multiple levels of abstraction, deep learning-based multimodal repr...

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Veröffentlicht in:	IEEE access 2019, Vol.7, p.63373-63394
Hauptverfasser:	Guo, Wenzhong, Wang, Jianwen, Wang, Shiping
Format:	Artikel
Sprache:	eng
Schlagworte:	Coders Data mining Decoding Deep learning deep multimodal fusion Encoders-Decoders Feature extraction Heterogeneity multimodal adversarial learning multimodal deep learning Multimodal representation learning multimodal translation Representations Semantics Speech recognition Task analysis
Online-Zugang:	Volltext
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