Quaternion-Valued Correlation Learning for Few-Shot Semantic Segmentation-Reference-Cited by-同舟云学术

Quaternion-Valued Correlation Learning for Few-Shot Semantic Segmentation

Author:

Zheng Zewen¹^ORCID,Huang Guoheng¹^ORCID,Yuan Xiaochen²^ORCID,Pun Chi-Man³^ORCID,Liu Hongrui⁴^ORCID,Ling Wing-Kuen⁵^ORCID

Affiliation:

1. School of Computer Science and Technology, Guangdong University of Technology, Guangzhou, China

2. Macao Polytechnic University, Macao, China

3. Department of Computer and Information Science, University of Macau, Macao, China

4. Department of Industrial and Systems Engineering, San José State University, San José, CA, USA

5. School of Information Engineering, Guangdong University of Technology, Guangzhou, China

Funder

Science and Technology Research in key areas in Foshan

Key-Area Research and Development Program of Guangdong Province

Science and Technology Projects of Guangzhou

Guangdong Provincial Key Laboratory of Cyber-Physical System

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Media Technology

Link

Reference51 articles.

1. Neighbourhood consensus networks;rocco;Proc Adv Neural Inf Process Syst,2018

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2. QGRL: Quaternion Graph Representation Learning for Heterogeneous Feature Data Clustering;Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining;2024-08-24

3. Domain-Invariant Prototypes for Semantic Segmentation;IEEE Transactions on Circuits and Systems for Video Technology;2024-08