会议论文

Zhang, HF

英文

Lecture Notes in Computer Science

0302-9743

2023

13844

521-536

16th Asian Conference on Computer Vision (ACCV)

Lecture Notes in Computer Science

DEC 04-08, 2022

Macao, PEOPLES R CHINA

[Zhao, Yang;Yu, Jiaguo;Zhang, Haofeng] Nanjing Univ Sci & Technol, Sch Comp Sci & Engn, Nanjing 210094, Peoples R China.^[Liao, Shengbin] Huazhong Normal Univ, Natl Engn Res Ctr Learning, Wuhan 430079, Peoples R China.^[Zhang, Zheng] Harbin Inst Technol, Sch Comp Sci & Technol, Shenzhen 518055, Peoples R China.

Wang, L Gall, J Chin, TJ Sato, I Chellappa, R

GEWERBESTRASSE 11, CHAM, CH-6330, SWITZERLAND

SPRINGER INTERNATIONAL PUBLISHING AG

978-3-031-26315-6; 978-3-031-26316-3

10.1007/978-3-031-26316-3_31

National Natural Science Foundation of China (NSFC) [61872187, 62072246, 62077023]; Natural Science Foundation of Jiangsu Province [BK20201306]; "111" Program [B13022]

本校为其他机构

In recent years, cross-modal hashing has attracted an increasing attention due to its fast retrieval speed and low storage requirements. However, labeled datasets are limited in real application, and existing unsupervised cross-modal hashing algorithms usually employ heuristic geometric prior as semantics, which introduces serious deviations as the similarity score from original features cannot reasonably represent the relationships among instances. In this paper, we study the unsupervised deep cross-modal hash retrieval method and propose a novel Semantic Graph Evolutionary Hashing (SGEH) to ...