Dynamic margin contrastive learning for open-set recognition in long-tailed sonar imagery
Abstract Long-tail distribution and open-set recognition remain significant challenges in sonar image classification. This study introduces Dynamic Margin Contrastive Learning (DMCL), a novel framework that simultaneously addresses both issues through adaptive margin adjustment and uncertainty-aware...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-07-01
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| Series: | Scientific Reports |
| Subjects: | |
| Online Access: | https://doi.org/10.1038/s41598-025-04877-6 |
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