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The Improved Fully Convolutional Network applied in Segmentation and Detection for Pavement Crack

Research article (Proceedings of the 2023 7th International Conference on Deep Learning Technologies, 2023) · cited 10× · AI/ML
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The Improved Fully Convolutional Network applied in Segmentation and Detection for Pavement Crack

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The Improved Fully Convolutional Network applied in Segmentation and Detection for Pavement Crack is a scholarly article[1].

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  • The Improved Fully Convolutional Network applied in Segmentation and Detection for Pavement Crack's instance of is recorded as scholarly article[2].

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Direct Wikidata claims

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  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). The Improved Fully Convolutional Network applied in Segmentation and Detection for Pavement Crack. Retrieved May 24, 2026, from https://4ort.xyz/entity/the-improved-fully-convolutional-network-applied-in-segmentation-and-detection-for-pavement-crack
MLA “The Improved Fully Convolutional Network applied in Segmentation and Detection for Pavement Crack.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/the-improved-fully-convolutional-network-applied-in-segmentation-and-detection-for-pavement-crack.
BibTeX @misc{4ortxyz_the-improved-fully-convolutional-network-applied-in-segmentation-and-detection-for-pavement-crack_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{The Improved Fully Convolutional Network applied in Segmentation and Detection for Pavement Crack}}, year = {2026}, url = {https://4ort.xyz/entity/the-improved-fully-convolutional-network-applied-in-segmentation-and-detection-for-pavement-crack}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): The Improved Fully Convolutional Network applied in Segmentation and Detection for Pavement Crack — https://4ort.xyz/entity/the-improved-fully-convolutional-network-applied-in-segmentation-and-detection-for-pavement-crack (retrieved 2026-05-24)

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