Evaluation of Novel AI Architectures for Uncertainty Estimation
Deep learning (DL) has advanced computer vision, delivering impressive performance on intricate visual tasks. Yet, the need for accurate uncertainty estimations, particularly for out-of-distribution (OOD) inputs, persists. Our research evaluates uncertainty in Convolutional Neural Networks (CNN) an...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Universidad Autónoma de Bucaramanga
2024-12-01
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| Series: | Revista Colombiana de Computación |
| Subjects: | |
| Online Access: | https://revistas.unab.edu.co/index.php/rcc/article/view/5274 |
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