Color-Aware Self-Supervised Learning for Scene Classification and Segmentation of Remote Sensing Images-Reference-Cited by-同舟云学术

Color-Aware Self-Supervised Learning for Scene Classification and Segmentation of Remote Sensing Images

Published:2023-07-16 Issue: Volume: Page:
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Container-title:IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium
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Author:

Xu Guozheng¹,Jiang Xue¹,Liu Xingzhao¹

Affiliation:

1. Shanghai Jiao Tong University,School of Electronic Information and Electrical Engineering,Shanghai,China,200240

Funder

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10281394/10281399/10283098.pdf?arnumber=10283098

Reference18 articles.

1. Geography-Aware Self-Supervised Learning

2. Exploring Simple Siamese Representation Learning

3. Geographical knowledge-driven representation learning for remote sensing images;li;IEEE Transactions on Geoscience and Remote Sensing,2021

4. Seasonal contrast: Unsupervised pre-training from uncurated remote sensing data;manas;Proceedings of the IEEE/CVF International Conference on Computer Vision,2021

5. Bootstrap your own latent-a new approach to self-supervised learning;grill;Advances in neural information processing systems,2020

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