Uncertainty Quantification in Data Fusion Classifier for Ship-Wake Detection
Using deep learning model predictions requires not only understanding the model’s confidence but also its uncertainty, so we know when to trust the prediction or require support from a human. In this study, we used Monte Carlo dropout (MCDO) to characterize the uncertainty of deep learning image cla...
| Автори: | , , , , , |
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| Формат: | Стаття |
| Мова: | English |
| Опубліковано: |
MDPI AG
2024-12-01
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| Серія: | Remote Sensing |
| Предмети: | |
| Онлайн доступ: | https://www.mdpi.com/2072-4292/16/24/4669 |