Deep Coupled Metric Learning for Cross-Modal Matching

In this paper, we propose a new deep coupled metric learning (DCML) method for cross-modal matching, which aims to match samples captured from two different modalities (e.g., texts versus images, visible versus near infrared images). Unlike existing cross-modal matching methods which learn a linear...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	IEEE transactions on multimedia 2017-06, Vol.19 (6), p.1234-1244
Hauptverfasser:	Liong, Venice Erin, Jiwen Lu, Yap-Peng Tan, Jie Zhou
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial neural networks Correlation Coupled learning cross-modal matching deep model Infrared imagery Kernel Learning systems Machine learning Matching Measurement metric learning multimedia retrieval Neural networks Semantics Transformations (mathematics)
Online-Zugang:	Volltext bestellen
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!