Ensemble Strategy With Multi-Step Hard Sample Mining for Improved UXO Localisation and Classification
Ensembling of multiple models to achieve better overall performance than individual ones is an approach that has yielded promising results in recent years in multiple tasks. In this article, a novel strategy based on the iterative fine-tuning on hard-to-detect instances is presented. This is impleme...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/11078286/ |
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