Dual Asymmetric Deep Hashing Learning

Dual Asymmetric Deep Hashing Learning

Due to the impressive learning power, deep learning has achieved a remarkable performance in supervised hash function learning. In this paper, we propose a novel asymmetric supervised deep hashing method to preserve the semantic structure among different categories and generate the binary codes simu...

Full description

Bibliographic Details
Main Authors: Jinxing Li, Bob Zhang, Guangming Lu, David Zhang
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Hashing
asymmetric
deep learning
similarity
Online Access:https://ieeexplore.ieee.org/document/8758410/

Internet

https://ieeexplore.ieee.org/document/8758410/

Similar Items