L2-norm prototypical networks for tackling the data shift problem in scene classification-Reference-Cited by-同舟云学术

L2-norm prototypical networks for tackling the data shift problem in scene classification

Published:2021-02-11 Issue:9 Volume:42 Page:3326-3352
ISSN:0143-1161
Container-title:International Journal of Remote Sensing
language:en
Short-container-title:International Journal of Remote Sensing

Author:

Wei Tianyu¹^ORCID,Wang Jue²^ORCID,Chen He¹,Chen Liang¹³,Liu Wenchao⁴^ORCID

Affiliation:

1. Beijing Key Laboratory of Embedded Real-time Information Processing Technology, Beijing Institute of Technology, Beijing, China

2. State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China

3. Beijing Institute of Technology Chongqing Innovation Center, Beijing Institute of Technology, Chongqing, China

4. Department of Computer Science and Technology, Tsinghua University, Beijing, China

Funder

Chang Jiang Scholars

Hundred Leading Talent Project of Beijing Science and Technology

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences

Link

https://www.tandfonline.com/doi/pdf/10.1080/01431161.2020.1871097

Reference51 articles.

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4. Chen, Y., X. Wang, Z. Liu, X. Huijuan, and T. Darrell. 2020. “A New Meta-Baseline for Few-Shot Learning.” arXiv: Computer Vision and Pattern Recognition.

5. When Deep Learning Meets Metric Learning: Remote Sensing Image Scene Classification via Learning Discriminative CNNs

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