Deep Adaptively-Enhanced Hashing With Discriminative Similarity Guidance for Unsupervised Cross-Modal Retrieval-Reference-Cited by-同舟云学术

Deep Adaptively-Enhanced Hashing With Discriminative Similarity Guidance for Unsupervised Cross-Modal Retrieval

Author:

Shi Yufeng¹^ORCID,Zhao Yue²,Liu Xin³,Zheng Feng⁴^ORCID,Ou Weihua⁵^ORCID,You Xinge¹^ORCID,Peng Qinmu¹^ORCID

Affiliation:

1. School of Electronic Information and Communications, Huazhong University of Science and Technology, Wuhan, China

2. School of Computer Science and Information Engineering, Hubei University, Wuhan, China

3. Department of Computer Science, Huaqiao University, Xiamen, China

4. Department of Computer Science and Engineering, Southern University of Science and Technology, Shenzhen, China

5. School of Big Data and Computer Science, Guizhou Normal University, Guiyang, China

Funder

National Natural Science Foundation of China

Natural Science Foundation of Hubei Province

Key Research and Development Plan of Hubei Province

Open Project of Zhejiang Laboratory

Project of Hubei University School

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Media Technology

Link

Reference58 articles.

Cited by 42 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

3. Semantic supervised learning based Cross-Modal Retrieval;ACM Turing Award Celebration Conference 2024;2024-07-05

5. CKDH: CLIP-Based Knowledge Distillation Hashing for Cross-Modal Retrieval;IEEE Transactions on Circuits and Systems for Video Technology;2024-07