Exploring Similarity in Polarization: Contrastive Learning with Siamese Networks for Ship Classification in Sentinel-1 SAR Images
Author:
Affiliation:
1. Shanghai Jiao Tong University,Shanghai Key Laboratory of Intelligent Sensing and Recognition,Shanghai,China,200240
2. Center of Digital Innovation, Tongji University,Shanghai,China,200092
Funder
National Natural Science Foundation of China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9883023/9883024/09884639.pdf?arnumber=9884639
Reference8 articles.
1. Bootstrap your own latent: A new approach to self-supervised learning;grill;Neural Information Processing Systems Conference,0
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3. Deep Residual Learning for Image Recognition
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5. Open- sarship 2.0: A large-volume dataset for deeper interpretation of ship targets in sentinel-1 imagery;li;SAR in Big Data Era Models Methods and Applications,2017
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