Omni-Crack30k: A Benchmark for Crack Segmentation and the Reasonable Effectiveness of Transfer Learning

Research article (2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2024) · cited 14× · AI/ML
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Omni-Crack30k: A Benchmark for Crack Segmentation and the Reasonable Effectiveness of Transfer Learning

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Omni-Crack30k: A Benchmark for Crack Segmentation and the Reasonable Effectiveness of Transfer Learning is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Omni-Crack30k: A Benchmark for Crack Segmentation and the Reasonable Effectiveness of Transfer Learning. Retrieved May 24, 2026, from https://4ort.xyz/entity/omni-crack30k-a-benchmark-for-crack-segmentation-and-the-reasonable-effectiveness-of-transfer-learning
MLA “Omni-Crack30k: A Benchmark for Crack Segmentation and the Reasonable Effectiveness of Transfer Learning.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/omni-crack30k-a-benchmark-for-crack-segmentation-and-the-reasonable-effectiveness-of-transfer-learning.
BibTeX @misc{4ortxyz_omni-crack30k-a-benchmark-for-crack-segmentation-and-the-reasonable-effectiveness-of-transfer-learning_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Omni-Crack30k: A Benchmark for Crack Segmentation and the Reasonable Effectiveness of Transfer Learning}}, year = {2026}, url = {https://4ort.xyz/entity/omni-crack30k-a-benchmark-for-crack-segmentation-and-the-reasonable-effectiveness-of-transfer-learning}, note = {Accessed: 2026-05-24}}
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