Urban road surface crack detection based on U-net and ResNeXt network.
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| Title: | Urban road surface crack detection based on U-net and ResNeXt network. |
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| Authors: | Qiao J; School of Mathematical Sciences, Beijing University of Posts and Telecommunications, Beijing, China.; New-type Rail Transit Design and Research Institute of China Railway Siyuan Survey and Design Group Co., Ltd., Suzhou, China., Wang H; China Railway Siyuan Survey and Design Group Co., Ltd., WuHan, China., Zhou Z; School of Traffic and Transportation Engineering, Changsha University of Science and Technology, Changsha, China., Meng Y; Chongqing Key Laboratory of Intelligent Integrated and Multidimensional Transportation System, Chongqing Jiaotong University, Chongqing, China., Gong M; State Key Laboratory of Engineering Materials for Major Infrastructure, Sobute New Materials Co., Ltd., Nanjing, China. |
| Source: | PloS one [PLoS One] 2026 Apr 21; Vol. 21 (4), pp. e0347145. Date of Electronic Publication: 2026 Apr 21 (Print Publication: 2026). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1932-6203 |
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| DOI: | 10.1371/journal.pone.0347145 |
