Learning Fine-Grained Image Similarity with Deep Ranking

Learning fine-grained image similarity is a challenging task. It needs to capture between-class and within-class image differences. This paper proposes a deep ranking model that employs deep learning techniques to learn similarity metric directly from images. It has higher learning capability than m...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	2014 IEEE Conference on Computer Vision and Pattern Recognition S. 1386 - 1393
Hauptverfasser:	Jiang Wang, Yang Song, Leung, Thomas, Rosenberg, Chuck, Jingbin Wang, Philbin, James, Bo Chen, Ying Wu
Format:	Tagungsbericht Journal Article
Sprache:	Englisch
Veröffentlicht:	IEEE 01.06.2014
Schlagworte:	Algorithms Computational modeling Computer architecture Computer vision Conferences Learning Load modeling Mathematical models Neural networks Pattern recognition Ranking Semantics Similarity Training data Visualization
ISSN:	1063-6919, 1063-6919
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!