Enhancing Crack Segmentation With Limited Data: SinGAN-Based Synthesis and Blending of Textures and Cracks
The reliable detection of structural cracks is crucial in maintaining the integrity of different structures like pipes and pavements, yet it is often constrained by the limited availability of diverse training datasets. This research presents a novel approach utilizing Single Image Generative Advers...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/11024017/ |
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