Joint Image-Text Hashing for Fast Large-Scale Cross-Media Retrieval Using Self-Supervised Deep Learning

Recent years have witnessed the promising future of hashing in the industrial applications for fast similarity retrieval. In this paper, we propose a novel supervised hashing method for large-scale cross-media search, termed self-supervised deep multimodal hashing (SSDMH), which learns unified hash...

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Veröffentlicht in:	IEEE transactions on industrial electronics (1982) 2019-12, Vol.66 (12), p.9868-9877
Hauptverfasser:	Wu, Gengshen, Han, Jungong, Lin, Zijia, Ding, Guiguang, Zhang, Baochang, Ni, Qiang
Format:	Artikel
Sprache:	eng
Schlagworte:	Binary codes Cross-media retrieval Deep learning Feature extraction Industrial applications Linear programming Machine learning Optimization Real time operation Regularization regularized binary latent model Retrieval Semantics Training
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