A Semisupervised Arbitrary-Oriented SAR Ship Detection Network Based on Interference Consistency Learning and Pseudolabel Calibration
The rapid development of deep learning cannot be achieved without the support of abundant labeled data. However, obtaining such a large amount of annotated data needs the support of professionals in the field of synthetic aperture radar (SAR) image understanding, which leads to the scarcity of SAR d...
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| Autors principals: | , , , , |
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
IEEE
2023-01-01
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| Col·lecció: | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
| Matèries: | |
| Accés en línia: | https://ieeexplore.ieee.org/document/10147338/ |
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