{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,6]],"date-time":"2026-03-06T00:46:15Z","timestamp":1772757975399,"version":"3.50.1"},"reference-count":30,"publisher":"Springer Science and Business Media LLC","issue":"4","license":[{"start":{"date-parts":[[2024,9,17]],"date-time":"2024-09-17T00:00:00Z","timestamp":1726531200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,9,17]],"date-time":"2024-09-17T00:00:00Z","timestamp":1726531200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"funder":[{"name":"Natural Science Foundation of Guangxi Zhuang Autonomous Region,China","award":["2021GXNSFAA220091"],"award-info":[{"award-number":["2021GXNSFAA220091"]}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Pattern Anal Applic"],"published-print":{"date-parts":[[2024,12]]},"DOI":"10.1007\/s10044-024-01338-0","type":"journal-article","created":{"date-parts":[[2024,9,19]],"date-time":"2024-09-19T10:53:41Z","timestamp":1726743221000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":7,"title":["YOLOv7-GCM: a detection algorithm for creek waste based on improved YOLOv7 model"],"prefix":"10.1007","volume":"27","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-0791-875X","authenticated-orcid":false,"given":"Jianhua","family":"Qin","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Honglan","family":"Zhou","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Huaian","family":"Yi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Luyao","family":"Ma","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jianhan","family":"Nie","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tingting","family":"Huang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2024,9,17]]},"reference":[{"issue":"5","key":"1338_CR1","doi-asserted-by":"publisher","first-page":"50","DOI":"10.1109\/MC.2018.2381112","volume":"51","author":"T Pl\u00f6tz","year":"2018","unstructured":"Pl\u00f6tz T, Guan Y (2018) Deep learning for human activity recognition in mobile computing. Computer 51(5):50\u201359. https:\/\/doi.org\/10.1109\/MC.2018.2381112","journal-title":"Computer"},{"issue":"3","key":"1338_CR2","doi-asserted-by":"publisher","DOI":"10.1016\/j.imavis.2020.104046","volume":"104","author":"P Mittal","year":"2020","unstructured":"Mittal P, Singh R, Sharma A (2020) Deep learning-based object detection in low-altitude UAV datasets: a survey. Image Vis Comput 104(3):104046. https:\/\/doi.org\/10.1016\/j.imavis.2020.104046","journal-title":"Image Vis Comput"},{"key":"1338_CR3","doi-asserted-by":"publisher","unstructured":"Chen X, Li J (2019) Research on an Efficient Single-Stage Multi-object Detection Algorithm. In: 2019 International Conference on Smart Grid and Electrical Automation (ICSGEA). https:\/\/doi.org\/10.1109\/ICSGEA.2019.00110","DOI":"10.1109\/ICSGEA.2019.00110"},{"key":"1338_CR4","doi-asserted-by":"publisher","first-page":"166744","DOI":"10.1016\/j.ijleo.2021.166744","volume":"239","author":"A Kumar","year":"2021","unstructured":"Kumar A, Kalia A, Verma K, Sharma A, Kaushal M (2021) Scaling up face masks detection with YOLO on a novel dataset. Optik 239:166744. https:\/\/doi.org\/10.1016\/j.ijleo.2021.166744","journal-title":"Optik"},{"key":"1338_CR5","unstructured":"ALEXEY B, WANG C, LIAO H. YOLOv4: Optimal speed and accuracy of object detection, https:\/\/arxiv.org\/abs\/2004.10934"},{"key":"1338_CR6","doi-asserted-by":"publisher","first-page":"13895","DOI":"10.1007\/s00521-021-06029-z","volume":"35","author":"R Gai","year":"2023","unstructured":"Gai R, Chen N, Yuan H (2023) A detection algorithm for cherry fruits based on the improved YOLO-v4 model. Neural Comput Applic 35:13895\u201313906. https:\/\/doi.org\/10.1007\/s00521-021-06029-z","journal-title":"Neural Comput Applic"},{"key":"1338_CR7","doi-asserted-by":"publisher","first-page":"101847","DOI":"10.1016\/j.ecoinf.2022.101847","volume":"72","author":"A Al Muksit","year":"2022","unstructured":"Al Muksit A, Hasan F, Emon MF, Haque MR, Anwary AR, Shatabda S (2022) YOLO-Fish: A robust fish detection model to detect fish in realistic underwater environment. Ecol Informatics 72:101847. https:\/\/doi.org\/10.1016\/j.ecoinf.2022.101847","journal-title":"Ecol Informatics"},{"key":"1338_CR8","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.81","author":"R Girshick","year":"2014","unstructured":"Girshick R, Donahue J, Darrell T et al (2014) Rich feature hierarchies for accurate object detection and semantic segmentation. IEEE Comput Soc. https:\/\/doi.org\/10.1109\/CVPR.2014.81","journal-title":"IEEE Comput Soc"},{"issue":"6","key":"1338_CR9","doi-asserted-by":"publisher","first-page":"1137","DOI":"10.1109\/TPAMI.2016.2577031","volume":"39","author":"S Ren","year":"2017","unstructured":"Ren S, He K, Girshick R et al (2017) Faster R-CNN: towards real-time object detection with region proposal networks. IEEE Trans Pattern Analy Machine Intell 39(6):1137\u20131149. https:\/\/doi.org\/10.1109\/TPAMI.2016.2577031","journal-title":"IEEE Trans Pattern Analy Machine Intell"},{"issue":"1","key":"1338_CR10","doi-asserted-by":"publisher","first-page":"67","DOI":"10.1007\/s11265-022-01811-1","volume":"95","author":"X Cheng","year":"2023","unstructured":"Cheng X, Fei H, Song L, Zhu J, Ming Z, Wang C, Yang L, Ruan Y (2023) A novel recyclable garbage detection system for waste-to-energy based on optimized CenterNet with feature fusion. J Signal Process Syst 95(1):67\u201376. https:\/\/doi.org\/10.1007\/s11265-022-01811-1","journal-title":"J Signal Process Syst"},{"key":"1338_CR11","first-page":"12","volume":"23","author":"M Tian","year":"2022","unstructured":"Tian M, Xiali LI, Kong S et al (2022) A modified YOLOv4 detection method for a vision-based underwater garbage cleaning robot. J Front Inf Electron Eng 23:12","journal-title":"J Front Inf Electron Eng"},{"key":"1338_CR12","doi-asserted-by":"publisher","first-page":"1041","DOI":"10.3390\/jmse11051041","volume":"11","author":"C Hou","year":"2023","unstructured":"Hou C, Guan Z, Guo Z et al (2023) An improved YOLOv5s based scheme for target detection in a complex underwater environment. J Marine Sci Eng 11:1041","journal-title":"J Marine Sci Eng"},{"key":"1338_CR13","doi-asserted-by":"publisher","first-page":"324","DOI":"10.1016\/J.PROCS.2021.02.066","volume":"183","author":"Q Zhang","year":"2021","unstructured":"Zhang Q, Chang X, Meng Z et al (2021) Equipment detection and recognition in electric power room based on faster R-CNN. J Procedia Comput Sci 183:324\u2013330. https:\/\/doi.org\/10.1016\/J.PROCS.2021.02.066","journal-title":"J Procedia Comput Sci"},{"key":"1338_CR14","doi-asserted-by":"publisher","DOI":"10.32604\/JAI.2023.041341","author":"AM Abdulghani","year":"2023","unstructured":"Abdulghani AM, Abdulghani MM, Walters WL et al (2023) Multiple data augmentation strategy for enhancing the performance of YOLOv7 object detection algorithm. J Tech Sci Press. https:\/\/doi.org\/10.32604\/JAI.2023.041341","journal-title":"J Tech Sci Press"},{"key":"1338_CR15","doi-asserted-by":"publisher","first-page":"104","DOI":"10.4236\/jcc.2022.1010008","volume":"10","author":"JM Shamsuzzaman","year":"2022","unstructured":"Shamsuzzaman JM (2022) YOLObin: non-decomposable garbage identification and classification based on YOLOv7. J Comput Commun 10:104\u2013121","journal-title":"J Comput Commun"},{"key":"1338_CR16","doi-asserted-by":"publisher","unstructured":"Stancilas S, Pathinarupothi RK, Gopalakrishnan U (2013) Detection of Pathological Markers in Colonoscopy Images using YOLOv7. In: 2023 7th International Conference on Intelligent Computing and Control Systems (ICICCS).0 [2023\u201312\u201329], https:\/\/doi.org\/10.1109\/ICICCS56967.2023.10142724","DOI":"10.1109\/ICICCS56967.2023.10142724"},{"key":"1338_CR17","doi-asserted-by":"publisher","first-page":"1223410","DOI":"10.3389\/fpls.2023.1223410","volume":"14","author":"S Wang","year":"2023","unstructured":"Wang S, Wu D, Zheng X (2023) TBC-YOLOv7: a refined YOLOv7-based algorithm for tea bud grading detection. Front Plant Sci 14:1223410. https:\/\/doi.org\/10.3389\/fpls.2023.1223410","journal-title":"Front Plant Sci"},{"key":"1338_CR18","doi-asserted-by":"publisher","first-page":"106983","DOI":"10.1016\/j.fishres.2024.106983","volume":"274","author":"Y Sun","year":"2024","unstructured":"Sun Y, Zhang S, Shi Y, Tang F, Chen J, Xiong Y, Dai Y, Li L (2024) \"YOLOv7-DCN-SORT: An algorithm for detecting and counting targets on Acetes fishing vessel operation. Fisheries Res 274:106983","journal-title":"Fisheries Res"},{"key":"1338_CR19","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2021.3074370","author":"J Wang","year":"2021","unstructured":"Wang J, Chen K, Rui X, Liu Z, Loy CC, Lin D (2021) CARAFE++: unified content-aware ReAssembly of FEatures. IEEE Trans Pattern Analy Machine Intell. https:\/\/doi.org\/10.1109\/TPAMI.2021.3074370","journal-title":"IEEE Trans Pattern Analy Machine Intell"},{"key":"1338_CR20","doi-asserted-by":"publisher","first-page":"392","DOI":"10.3390\/aerospace11050392","volume":"11","author":"K An","year":"2024","unstructured":"An K, Duanmu H, Zhiyang W, Liu Y, Qiao J, Shangguan Q, Song Y, Xiaonong X (2024) Enhancing small object detection in aerial images: a novel approach with PCSG model. Aerospace 11:392","journal-title":"Aerospace"},{"key":"1338_CR21","doi-asserted-by":"publisher","first-page":"627","DOI":"10.5187\/JAST.2023.E43","volume":"65","author":"TK Kim","year":"2023","unstructured":"Kim TK, Kim JS, Cho HC (2023) Deep-learning-based gestational sac detection in ultrasound images using modified YOLOv7-E6E model. J Animal Sci Technol 65:627\u2013637. https:\/\/doi.org\/10.5187\/JAST.2023.E43","journal-title":"J Animal Sci Technol"},{"key":"1338_CR22","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2021.3095305","author":"Z Zheng","year":"2021","unstructured":"Zheng Z, Wang P, Ren D et al (2021) Enhancing geometric factors in model learning and inference for object detection and instance segmentation. IEEE. https:\/\/doi.org\/10.1109\/TCYB.2021.3095305","journal-title":"IEEE"},{"key":"1338_CR23","doi-asserted-by":"publisher","unstructured":"Duan K, Xie L, Qi H et al. (2021) Location-Sensitive Visual Recognition with Cross-IOU Loss. https:\/\/doi.org\/10.48550\/arXiv.2104.04899","DOI":"10.48550\/arXiv.2104.04899"},{"key":"1338_CR24","doi-asserted-by":"publisher","first-page":"012031","DOI":"10.1088\/1742-6596\/1884\/1\/012031","volume":"1884","author":"X Liu","year":"2021","unstructured":"Liu X, Gan H, Yan Y (2021) Study on improvement of YOLOv3 algorithm. J. Phys Conf Series 1884:012031. https:\/\/doi.org\/10.1088\/1742-6596\/1884\/1\/012031","journal-title":"J. Phys Conf Series"},{"key":"1338_CR25","doi-asserted-by":"publisher","DOI":"10.1142\/S0218126623502717","author":"Q Jin","year":"2023","unstructured":"Jin Q, Han Q, Su N et al (2023) A deep learning and morphological method for concrete cracks detection. J Circuits Syst Comput. https:\/\/doi.org\/10.1142\/S0218126623502717","journal-title":"J Circuits Syst Comput"},{"key":"1338_CR26","doi-asserted-by":"publisher","unstructured":"Konala TR, Nammi A, Tella DS (2023) Analysis of Live Video Object Detection using YOLOv5 and YOLOv7. In: 4th International Conference for Emerging Technology (INCET).0 [2023\u201312\u201329]. https:\/\/doi.org\/10.1109\/INCET57972.2023.10169926","DOI":"10.1109\/INCET57972.2023.10169926"},{"key":"1338_CR27","doi-asserted-by":"publisher","first-page":"329","DOI":"10.1126\/science.adh1174","volume":"382","author":"DS Modha","year":"2023","unstructured":"Modha DS, Akopyan F et al (2023) Neural inference at the frontier of energy, space, and time. Science 382:329\u2013335. https:\/\/doi.org\/10.1126\/science.adh1174","journal-title":"Science"},{"key":"1338_CR28","doi-asserted-by":"publisher","first-page":"102214","DOI":"10.1016\/j.aei.2023.102214","volume":"58","author":"X Gang","year":"2023","unstructured":"Gang X, Yue Q, Liu X (2023) Realtime monitoring of concrete crack based on deep learning algorithms and image processing techniques. Adv Eng Inf 58:102214","journal-title":"Adv Eng Inf"},{"key":"1338_CR29","doi-asserted-by":"publisher","first-page":"1160","DOI":"10.1002\/tee.23822","volume":"18","author":"Z Song","year":"2023","unstructured":"Song Z, Huang X, Ji C, Zhang Y (2023) Intelligent identification method of hydrophobic grade of composite insulator based on efficient - former network. IEEJ Trans Electr Electron Eng 18:1160","journal-title":"IEEJ Trans Electr Electron Eng"},{"key":"1338_CR30","doi-asserted-by":"publisher","first-page":"108670","DOI":"10.1016\/j.compag.2024.108670","volume":"218","author":"Z Li","year":"2024","unstructured":"Li Z, Zhu Y, Sui S, Zhao Y, Liu P, Li X (2024) Real-time detection and counting of wheat ears based on improved YOLOv7. Comput Electron Agricul 218:108670","journal-title":"Comput Electron Agricul"}],"container-title":["Pattern Analysis and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10044-024-01338-0.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s10044-024-01338-0\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10044-024-01338-0.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,12,16]],"date-time":"2024-12-16T09:27:25Z","timestamp":1734341245000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s10044-024-01338-0"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,9,17]]},"references-count":30,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2024,12]]}},"alternative-id":["1338"],"URL":"https:\/\/doi.org\/10.1007\/s10044-024-01338-0","relation":{},"ISSN":["1433-7541","1433-755X"],"issn-type":[{"value":"1433-7541","type":"print"},{"value":"1433-755X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,9,17]]},"assertion":[{"value":"8 July 2024","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"6 September 2024","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"17 September 2024","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors declare no competing interests.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"conflict of Interests"}}],"article-number":"116"}}