LCSNet: Light-Weighted Convolution-Based Segmentation Method with Separable Multi-Directional Convolution Module for Concrete Crack Segmentation in Drones
Concrete cracks pose significant safety hazards to buildings, and semantic segmentation models based on deep learning have achieved state-of-the-art results in concrete crack detection. However, these models usually have a large model size which is impossible to use in drones. To solve this problem,...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2024-03-01
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| Series: | Electronics |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2079-9292/13/7/1307 |