%0 Journal Article %1 journals/eaai/LinLZFL23 %A Lin, Qinghua %A Li, Wei %A Zheng, Xiangpan %A Fan, Haoyi %A Li, Zuoyong %D 2023 %J Eng. Appl. Artif. Intell. %K dblp %P 106876 %T DeepCrackAT: An effective crack segmentation framework based on learning multi-scale crack features. %U http://dblp.uni-trier.de/db/journals/eaai/eaai126.html#LinLZFL23 %V 126

@article{journals/eaai/LinLZFL23, added-at = {2024-05-07T00:00:00.000+0200}, author = {Lin, Qinghua and Li, Wei and Zheng, Xiangpan and Fan, Haoyi and Li, Zuoyong}, biburl = {https://www.bibsonomy.org/bibtex/2e62befa2cd3783817391f999a74aca53/dblp}, ee = {https://doi.org/10.1016/j.engappai.2023.106876}, interhash = {2a2123e09be161c2cd75bfa700058e4a}, intrahash = {e62befa2cd3783817391f999a74aca53}, journal = {Eng. Appl. Artif. Intell.}, keywords = {dblp}, month = {November}, pages = 106876, timestamp = {2024-05-13T07:48:32.000+0200}, title = {DeepCrackAT: An effective crack segmentation framework based on learning multi-scale crack features.}, url = {http://dblp.uni-trier.de/db/journals/eaai/eaai126.html#LinLZFL23}, volume = 126, year = 2023 }