Semi-Supervised SAR ATR Based on Contrastive Learning and Complementary Label Learning
Deep-learning-based methods have recently achieved significant advancements in synthetic aperture radar automatic target recognition (SAR ATR). However, these methods typically rely heavily on extensive annotations, which are difficult to obtain for SAR images. Semi-supervised learning offers a solu...
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Veröffentlicht in: | IEEE geoscience and remote sensing letters 2024, Vol.21, p.1-5 |
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