{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,19]],"date-time":"2025-06-19T05:02:54Z","timestamp":1750309374883,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":10,"publisher":"ACM","license":[{"start":{"date-parts":[[2024,6,21]],"date-time":"2024-06-21T00:00:00Z","timestamp":1718928000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2024,6,21]]},"DOI":"10.1145\/3690407.3690551","type":"proceedings-article","created":{"date-parts":[[2024,10,24]],"date-time":"2024-10-24T18:55:28Z","timestamp":1729796128000},"page":"868-873","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["CPFU-Net: A Channel Position Wide Focus Mechanism based on U-Net for Building Image Segmentation Algorithm"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8382-191X","authenticated-orcid":false,"given":"Cheng","family":"Liu","sequence":"first","affiliation":[{"name":"School of Computer and Information Engineering, Henan University, Kaifeng, Henan, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0003-2131-3655","authenticated-orcid":false,"given":"Yue","family":"Pang","sequence":"additional","affiliation":[{"name":"School of Computer and Information Engineering, Henan University, Kaifeng, Henan, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0007-8185-2625","authenticated-orcid":false,"given":"Tiezhu","family":"Li","sequence":"additional","affiliation":[{"name":"School of Computer and Information Engineering, Henan University, Kaifeng, Henan, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0002-2806-5271","authenticated-orcid":false,"given":"Jiawei","family":"Sun","sequence":"additional","affiliation":[{"name":"School of Computer Science and Technology, Anhui University, Hefei, Anhui, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5675-2362","authenticated-orcid":false,"given":"Xianyu","family":"Zuo","sequence":"additional","affiliation":[{"name":"School of Computer and Information Engineering, Henan University, Kaifeng, Henan, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1053-6741","authenticated-orcid":false,"given":"Lanxue","family":"Dang","sequence":"additional","affiliation":[{"name":"School of Computer and Information Engineering, Henan University, Kaifeng, Henan, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8741-0827","authenticated-orcid":false,"given":"Liming","family":"Zhou","sequence":"additional","affiliation":[{"name":"School of Computer and Information Engineering, Henan University, Kaifeng, Henan, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0007-8024-7642","authenticated-orcid":false,"given":"Baojun","family":"Qiao","sequence":"additional","affiliation":[{"name":"School of Computer and Information Engineering, Henan University, Kaifeng, Henan, China"}]}],"member":"320","published-online":{"date-parts":[[2024,10,24]]},"reference":[{"key":"e_1_3_3_1_1_2","doi-asserted-by":"crossref","unstructured":"Long Jonathan Evan Shelhamer and Trevor Darrell. \"Fully convolutional networks for semantic segmentation.\" Proceedings of the IEEE conference on computer vision and pattern recognition. 2015.","DOI":"10.1109\/CVPR.2015.7298965"},{"key":"e_1_3_3_1_2_2","doi-asserted-by":"publisher","unstructured":"Chen Liang-Chieh et al. \"Deeplab: Semantic image segmentation with deep convolutional nets atrous convolution and fully connected crfs.\" IEEE transactions on pattern analysis and machine intelligence 40.4 (2017): 834-848. 10.1109\/TPAMI.2017.2699184","DOI":"10.1109\/TPAMI.2017.2699184"},{"volume-title":"Proceedings of the IEEE\/CVF conference on computer vision and pattern recognition. 2019:  3146-3154","key":"e_1_3_3_1_3_2","unstructured":"Fu J, Liu J, Tian H, et al. Dual attention network for scene segmentation. Proceedings of the IEEE\/CVF conference on computer vision and pattern recognition. 2019: 3146-3154."},{"key":"e_1_3_3_1_4_2","volume-title":"Convolutional networks for biomedical image segmentation.\" Medical image computing and computer-assisted intervention\u2013MICCAI 2015:  18th international conference","author":"Ronneberger Olaf","year":"2015","unstructured":"Ronneberger, Olaf, Philipp Fischer, and Thomas Brox. \"U-net: Convolutional networks for biomedical image segmentation.\" Medical image computing and computer-assisted intervention\u2013MICCAI 2015: 18th international conference, Munich, Germany, October 5-9, 2015, proceedings, part III 18. Springer International Publishing, 2015."},{"key":"e_1_3_3_1_5_2","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2021.3093977"},{"key":"e_1_3_3_1_6_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.jvcir.2024.104069"},{"key":"e_1_3_3_1_7_2","volume-title":"Rethinking atrous convolution for semantic image segmentation.\" arXiv preprint arXiv:1706.05587","author":"Chen Liang-Chieh","year":"2017","unstructured":"Chen, Liang-Chieh, et al. \"Rethinking atrous convolution for semantic image segmentation.\" arXiv preprint arXiv:1706.05587 (2017)."},{"key":"e_1_3_3_1_8_2","volume-title":"Encoder-decoder with atrous separable convolution for semantic image segmentation.\" Proceedings of the European conference on computer vision (ECCV)","author":"Chen Liang-Chieh","year":"2018","unstructured":"Chen, Liang-Chieh, et al. \"Encoder-decoder with atrous separable convolution for semantic image segmentation.\" Proceedings of the European conference on computer vision (ECCV). 2018."},{"key":"e_1_3_3_1_9_2","unstructured":"Xie Enze et al. \"SegFormer: Simple and efficient design for semantic segmentation with transformers.\" Advances in neural information processing systems 34 (2021): 12077-12090."},{"key":"e_1_3_3_1_10_2","volume-title":"Swin transformer: Hierarchical vision transformer using shifted windows.\" Proceedings of the IEEE\/CVF international conference on computer vision","author":"Liu Ze","year":"2021","unstructured":"Liu, Ze, et al. \"Swin transformer: Hierarchical vision transformer using shifted windows.\" Proceedings of the IEEE\/CVF international conference on computer vision. 2021."}],"event":{"name":"CAIBDA 2024: 2024 4th International Conference on Artificial Intelligence, Big Data and Algorithms","acronym":"CAIBDA 2024","location":"Zhengzhou China"},"container-title":["Proceedings of the 2024 4th International Conference on Artificial Intelligence, Big Data and Algorithms"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3690407.3690551","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3690407.3690551","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,19]],"date-time":"2025-06-19T00:06:21Z","timestamp":1750291581000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3690407.3690551"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,6,21]]},"references-count":10,"alternative-id":["10.1145\/3690407.3690551","10.1145\/3690407"],"URL":"https:\/\/doi.org\/10.1145\/3690407.3690551","relation":{},"subject":[],"published":{"date-parts":[[2024,6,21]]},"assertion":[{"value":"2024-10-24","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}