Low-Sample Image Classification Based on Intrinsic Consistency Loss and Uncertainty Weighting Method-Reference-Cited by-同舟云学术

Low-Sample Image Classification Based on Intrinsic Consistency Loss and Uncertainty Weighting Method

Author:

Li Zhiguo¹,Li Lingbo²,Xiao Xi³,Chen Jinpeng⁴,Zhang Nawei⁵,Li Sai⁶^ORCID

Affiliation:

1. Information Construction and Service Center, Neijiang Normal University, Neijiang, China

2. Library of Information Center, Zhejiang Technical Institute of Economics, Hangzhou, China

3. School of Computer Science, Southwest Petroleum University, Chengdu, China

4. Khoury College of Computer Sciences, Northeastern University, Boston, MA, USA

5. College of Information Science and Engineering, China University of Petroleum, Beijing, China

6. College of Mechanical and Electrical Engineering, Zaozhuang University, Zaozhuang, China

Funder

Natural Science Foundation of Shandong Province

Startup Foundation for Doctoral Research of Zaozhuang University

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

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

Link

Reference49 articles.

1. Very deep convolutional networks for large-scale image recognition;simonyan;arXiv 1409 1556,2014

5. Visualizing and understanding convolutional networks;zeiler;Proc 13th Eur Conf Comput Vis (ECCV),2014