Non-Relaxation Deep Hashing Method for Fast Image Retrieval-Reference-Cited by-同舟云学术

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Non-Relaxation Deep Hashing Method for Fast Image Retrieval

Published:2023 Issue: Volume:11 Page:17684-17692
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Li Xiaofei¹^ORCID

Affiliation:

1. College of Computer Engineering and Artificial Intelligence, Jilin University of Architecture and Technology, Changchun, China

Funder

Jilin Province Science and Technology Development Plan Project

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/10005208/10044089.pdf?arnumber=10044089

Reference31 articles.

1. Supervised hashing with kernels;liu;Proc IEEE Conf Comput Vis Pattern Recognit,2012

2. Spherical hashing;heo;Proc IEEE Conf Comput Vis Pattern Recognit,2012

3. Supervised Discrete Hashing

4. Minimal loss hashing for compact binary codes;norouzi;Proc Int Conf Mach Learn,2011

5. Feature learning based deep supervised hashing with pairwise labels;li;Proc 25th Int Joint Conf Artif Intell,2016

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Fine – Grained Forgery Localization in Images Using CNN - SVM Approach;2024 International Conference on Advances in Data Engineering and Intelligent Computing Systems (ADICS);2024-04-18

2. Deep hashing image retrieval based on hybrid neural network and optimized metric learning;Knowledge-Based Systems;2024-01

3. Learning Adaptive Hypersphere: Boosting Efficiency on Approximate Nearest Neighbor Search;IEEE Signal Processing Letters;2024

4. Intelligent Hash Function Based Key-Exchange Scheme for Ocean Underwater Data Transmission;The Springer Series in Applied Machine Learning;2024

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