Few Shot Scene Classification in Remote Sensing using Meta-Agnostic Machine-Reference-Cited by-同舟云学术

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Few Shot Scene Classification in Remote Sensing using Meta-Agnostic Machine

Published:2020-03 Issue: Volume: Page:
ISSN:
Container-title:2020 6th Conference on Data Science and Machine Learning Applications (CDMA)
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Author:

Alajaji Dalal A.,Alhichri Haikel

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9036009/9044208/09044269.pdf?arnumber=9044269

Cited by 27 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

1. Text guided zero-shot scene classification of high spatial resolution remote sensing images;Journal of Applied Remote Sensing;2024-03-18

2. Multiscale attention for few‐shot image classification;Computational Intelligence;2024-03-18

3. Few-shot remote sensing image scene classification: Recent advances, new baselines, and future trends;ISPRS Journal of Photogrammetry and Remote Sensing;2024-03

4. Vision-Language Models for Zero-Shot Classification of Remote Sensing Images;Applied Sciences;2023-11-17

5. Prototypical Networks for Remote Sensing Scene Classification : Episodic Versus Classical Training;2023 Signal Processing: Algorithms, Architectures, Arrangements, and Applications (SPA);2023-09-20

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