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Multi-class structural damage segmentation using fully convolutional networks

Research article (Computers in Industry, 2019) · cited 82× · AI/ML
academia openalex:W2969856252
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Multi-class structural damage segmentation using fully convolutional networks

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Multi-class structural damage segmentation using fully convolutional networks is a scholarly article[1].

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  • Multi-class structural damage segmentation using fully convolutional networks's instance of is recorded as scholarly article[2].

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  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Multi-class structural damage segmentation using fully convolutional networks. Retrieved May 24, 2026, from https://4ort.xyz/entity/multi-class-structural-damage-segmentation-using-fully-convolutional-networks
MLA “Multi-class structural damage segmentation using fully convolutional networks.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/multi-class-structural-damage-segmentation-using-fully-convolutional-networks.
BibTeX @misc{4ortxyz_multi-class-structural-damage-segmentation-using-fully-convolutional-networks_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Multi-class structural damage segmentation using fully convolutional networks}}, year = {2026}, url = {https://4ort.xyz/entity/multi-class-structural-damage-segmentation-using-fully-convolutional-networks}, note = {Accessed: 2026-05-24}}
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