Semi-Supervised Few-Shot Classification With Multitask Learning and Iterative Label Correction-Reference-Cited by-同舟云学术

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Semi-Supervised Few-Shot Classification With Multitask Learning and Iterative Label Correction

Published:2024 Issue: Volume:62 Page:1-15
ISSN:0196-2892
Container-title:IEEE Transactions on Geoscience and Remote Sensing
language:
Short-container-title:IEEE Trans. Geosci. Remote Sensing

Author:

Ji Hong¹^ORCID,Gao Zhi¹^ORCID,Lu Yao²,Li Ziyao¹^ORCID,Chen Boan¹^ORCID,Li Yanzhang³,Zhu Jun³,Wang Chao³,Shi Zhicheng⁴

Affiliation:

1. School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, China

2. Beijing Institute of Remote Sensing, Beijing, China

3. DFH Satellite Company Ltd., Beijing, China

4. Beijing Institute of Space Mechanics and Electricity, Beijing, China

Funder

National Natural Science Foundation of China

Science and Technology Major Project

Civilian Space Project

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/36/10354519/10530607.pdf?arnumber=10530607

Reference71 articles.

1. Deep Residual Learning for Image Recognition

2. Fast R-CNN

3. Dirichlet-Derived Multiple Topic Scene Classification Model for High Spatial Resolution Remote Sensing Imagery

4. Semantic Annotation of High-Resolution Satellite Images via Weakly Supervised Learning

5. A Multispectral and Multiangle 3-D Convolutional Neural Network for the Classification of ZY-3 Satellite Images Over Urban Areas

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