Attention-Aware Joint Location Constraint Hashing for Multi-Label Image Retrieval

Attention-Aware Joint Location Constraint Hashing for Multi-Label Image Retrieval

Learning based hashing has been widely used in approximate nearest neighbor search for image retrieval. However, most of the existing hashing methods are designed to learn only simplex feature similarity while ignored the location similarity among multiple objects, thus cannot work well on multi-lab...

Full description

Bibliographic Details
Main Authors: Yingqi Zhang, Yong Feng, Jiaxing Shang, Mingliang Zhou, Baohua Qiang
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Attention sub-network
hashing method
image retrieval
location relationship
Online Access:https://ieeexplore.ieee.org/document/8941049/

Internet

https://ieeexplore.ieee.org/document/8941049/

Similar Items