A weakly-supervised deep learning model for end-to-end detection of airfield pavement distress
Accurate and timely surveying of airfield pavement distress is crucial for cost-effective airport maintenance. Deep learning (DL) approaches, leveraging advancements in computer science and image acquisition techniques, have become the mainstream for automated airfield pavement distress detection. H...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
KeAi Communications Co., Ltd.
2025-03-01
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| Series: | International Journal of Transportation Science and Technology |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2046043024000303 |
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