On Enhancing Crack Semantic Segmentation Using StyleGAN and Brownian Bridge Diffusion
Inspection for cracks is an essential yet labor-intensive aspect of maintenance for structures in active service bridges. Deep learning networks, combined with an abundance of segmented image data representing various types of cracks, enable the development of a computer vision-based solution. Often...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2024-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10443711/ |