首页|期刊导航|高技术通讯:英文版|Task-adaptation graph network for few-shot learning

Task-adaptation graph network for few-shot learningOAEI

中文摘要

Numerous meta-learning methods focus on the few-shot learning issue,yet most of them assume that various tasks have a shared embedding space,so the generalization ability of the trained model is limited.In order to solve the …查看全部>>

ZHAO Wencang;LI Ming;QIN Wenqian

College of Automation and Electronic Engineering,Qingdao University of Science and Technology,Qingdao 266061,P.R.ChinaCollege of Automation and Electronic Engineering,Qingdao University of Science and Technology,Qingdao 266061,P.R.ChinaCollege of Automation and Electronic Engineering,Qingdao University of Science and Technology,Qingdao 266061,P.R.China

计算机与自动化

meta-learningimage classificationgraph neural network(GNN)few-shot learning

《高技术通讯:英文版》 2022 (2)

P.164-171,8

Supported by the National High Technology Research and Development Program of China(20-H863-05-XXX-XX)the National Natural Science Foundation of China(61171131)Shandong Province Key Research and Development Program(YD01033)the China Scholarship Council Program(201608370049)。

10.3772/j.issn.1006-6748.2022.02.006

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