Contrastive Learning Based on Multiscale Hard Features for Remote-Sensing Image Scene Classification-Reference-Cited by-同舟云学术

Contrastive Learning Based on Multiscale Hard Features for Remote-Sensing Image Scene Classification

Author:

Li Zhihao¹^ORCID,Hou Biao²^ORCID,Guo Xianpeng²^ORCID,Ma Siteng¹^ORCID,Cui Yanyu²,Wang Shuang³^ORCID,Jiao Licheng⁴^ORCID

Affiliation:

1. School of Artificial Intelligence, Xidian University, Xi’an, China

2. Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education of China, Xidian University, Xi’an, China

3. Institute of Intelligent Information Processing, Xidian University, Xi’an, China

4. School of Electronic Engineering, Xidian University, Xi’an, China

Funder

National Natural Science Foundation of China

Foundation for Innovative Research Groups of the National Natural Science Foundation of China

Key Research and Development Program in Shaanxi Province of China

Science and Technology Program in Xi'an of China

Higher Education Discipline Innovation Project

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Earth and Planetary Sciences,Electrical and Electronic Engineering

Link

Reference88 articles.

2. Learning word embeddings efficiently with noise-contrastive estimation;mnih;Proc Adv Neural Inf Process Syst,2013

3. Where are the masks: Instance segmentation with image-level supervision;laradji;arXiv 1907 01430,2019

4. Noise-contrastive estimation: A new estimation principle for unnormalized statistical models;gutmann;Proc 13th Int Conf Artif Intell Statist,2010

Cited by 5 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