{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,19]],"date-time":"2025-06-19T05:02:04Z","timestamp":1750309324439,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":28,"publisher":"ACM","license":[{"start":{"date-parts":[[2024,8,2]],"date-time":"2024-08-02T00:00:00Z","timestamp":1722556800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"Hubei Provincial Department of Education Science and Technology Research Project for Youth Talent","award":["Q20224305"],"award-info":[{"award-number":["Q20224305"]}]},{"name":"Jingmen key research and development project","award":["2024YFZD046"],"award-info":[{"award-number":["2024YFZD046"]}]},{"name":"Science and Technology Project of Jingchu University of Technology","award":["YB202211"],"award-info":[{"award-number":["YB202211"]}]},{"name":"Hubei Provincial Department of Education Science and Technology Research Project","award":["B2022243"],"award-info":[{"award-number":["B2022243"]}]},{"name":"Jingmen research and development project","award":["2023YDKY075"],"award-info":[{"award-number":["2023YDKY075"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2024,8,2]]},"DOI":"10.1145\/3696271.3696304","type":"proceedings-article","created":{"date-parts":[[2024,12,2]],"date-time":"2024-12-02T10:47:56Z","timestamp":1733136476000},"page":"204-208","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Image recognition of insect pests in Jingmen with YOLOv10"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-1566-7134","authenticated-orcid":false,"given":"Zheng-Ming","family":"Gao","sequence":"first","affiliation":[{"name":"School of Computer Engineering, Jingchu University of Technology, Jingmen, Hubei, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0001-9341-4805","authenticated-orcid":false,"given":"Qiqi","family":"Zhou","sequence":"additional","affiliation":[{"name":"School of Computer Engineering, Jingchu University of Technology, Jingmen, Hubei, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7047-2001","authenticated-orcid":false,"given":"Juan","family":"Zhao","sequence":"additional","affiliation":[{"name":"School of Computer Engineering, Jingchu University of Technology, Jingmen, Hubei, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0004-8892-7448","authenticated-orcid":false,"given":"Xiaoyu","family":"Wang","sequence":"additional","affiliation":[{"name":"School of Computer Engineering, Jingchu University of Technology, Jingmen, Hubei, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2024,12,2]]},"reference":[{"key":"e_1_3_3_1_1_2","volume-title":"YOLOv10: Real-Time End-to-End Object Detection [J\/OL]","author":"Wang Ao","year":"2024","unstructured":"Ao Wang, Hui Chen, Lihao Liu, et al. YOLOv10: Real-Time End-to-End Object Detection [J\/OL]. 2024, arxiv.org\/abs\/2405.14458"},{"doi-asserted-by":"publisher","key":"e_1_3_3_1_2_2","DOI":"10.1109\/ACCESS.2024.3378568"},{"key":"e_1_3_3_1_3_2","volume-title":"Cham","author":"Liu Wei","year":"2016","unstructured":"Wei Liu, Dragomir Anguelov, Dumitru Erhan, et al.SSD: Single Shot MultiBox Detector, Cham, 2016[C]. Springer International Publishing, 21-37."},{"doi-asserted-by":"publisher","key":"e_1_3_3_1_4_2","DOI":"10.1109\/TPAMI.2018.2858826"},{"doi-asserted-by":"publisher","key":"e_1_3_3_1_5_2","DOI":"10.1109\/CVPR.2014.81"},{"key":"e_1_3_3_1_6_2","first-page":"379","article-title":"R-FCN: object detection via region-based fully convolutional networks:  Proceedings of the 30th International Conference on Neural Information Processing Systems, Barcelona, Spain, [C]","author":"Dai Jifeng","year":"2016","unstructured":"Jifeng Dai, Yi Li, Kaiming He, et al. R-FCN: object detection via region-based fully convolutional networks: Proceedings of the 30th International Conference on Neural Information Processing Systems, Barcelona, Spain, [C]. Curran Associates Inc., 2016. 379\u2013387.","journal-title":"Curran Associates Inc."},{"key":"e_1_3_3_1_7_2","volume-title":"Cham","author":"He Kaiming","year":"2014","unstructured":"Kaiming He, Xiangyu Zhang, Shaoqing Ren, et al.Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition, Cham, 2014[C]. Springer International Publishing, 346-361."},{"doi-asserted-by":"publisher","key":"e_1_3_3_1_8_2","DOI":"10.1109\/CVPR.2017.106"},{"doi-asserted-by":"publisher","key":"e_1_3_3_1_9_2","DOI":"10.1109\/CVPR.2015.7298594"},{"volume-title":"Andrew Zisserman. Very Deep Convolutional Networks for Large-Scale Image Recognition: International Conference on Learning Representations","author":"Simonyan Karen","unstructured":"Karen Simonyan, Andrew Zisserman. Very Deep Convolutional Networks for Large-Scale Image Recognition: International Conference on Learning Representations, 2015[C].","key":"e_1_3_3_1_10_2"},{"doi-asserted-by":"publisher","key":"e_1_3_3_1_11_2","DOI":"10.1109\/CVPR.2016.91"},{"doi-asserted-by":"publisher","key":"e_1_3_3_1_12_2","DOI":"10.1109\/CVPR.2017.690"},{"key":"e_1_3_3_1_13_2","volume-title":"YOLOv3: An Incremental Improvement[J]. arXiv e-prints","author":"Redmon Joseph","year":"2018","unstructured":"Joseph Redmon, Ali Farhadi. YOLOv3: An Incremental Improvement[J]. arXiv e-prints, 2018."},{"key":"e_1_3_3_1_14_2","volume-title":"CoRR","author":"Wang Chien-Yao","year":"2024","unstructured":"Chien-Yao Wang, I. Hau Yeh, Hong-Yuan Mark Liao. YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information[J]. CoRR, 2024, abs\/2402.13616. 10.48550\/ARXIV.2402.13616"},{"key":"e_1_3_3_1_15_2","volume-title":"ArXiv","author":"Li Chuyin","year":"2022","unstructured":"Chuyin Li, Lu Li, Hongliang Jiang, et al. YOLOv6: A Single-Stage Object Detection Framework for Industrial Applications[J]. ArXiv, 2022, abs\/2209.02976."},{"key":"e_1_3_3_1_16_2","volume-title":"YOLOv7: Trainable Bag-of-Freebies Sets New State-of-the-Art for Real-Time Object Detectors: 2023 IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR)","author":"Wang C. Y.","year":"2023","unstructured":"C. Y. Wang, A. Bochkovskiy, H. Y. M. Liao. YOLOv7: Trainable Bag-of-Freebies Sets New State-of-the-Art for Real-Time Object Detectors: 2023 IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 17-24 June 2023, 2023[C]. 7464-7475. 10.1109\/CVPR52729.2023.00721"},{"doi-asserted-by":"publisher","key":"e_1_3_3_1_17_2","DOI":"10.1109\/CISES58720.2023.10183545"},{"doi-asserted-by":"publisher","key":"e_1_3_3_1_18_2","DOI":"10.1016\/j.ecoinf.2022.101846"},{"doi-asserted-by":"publisher","key":"e_1_3_3_1_19_2","DOI":"10.1007\/s00521-020-05497-z"},{"doi-asserted-by":"publisher","key":"e_1_3_3_1_20_2","DOI":"10.1038\/srep20410"},{"doi-asserted-by":"publisher","key":"e_1_3_3_1_21_2","DOI":"10.1016\/j.compag.2020.105585"},{"key":"e_1_3_3_1_22_2","volume-title":"aphids Dataset[J]. Roboflow Universe","author":"Classifier Pest","year":"2023","unstructured":"Pest Classifier. aphids Dataset[J]. Roboflow Universe, 2023."},{"key":"e_1_3_3_1_23_2","volume-title":"Roboflow Universe","author":"Classifier Pest","year":"2023","unstructured":"Pest Classifier. Red spider Dataset[J]. Roboflow Universe, 2023."},{"volume-title":"snails Dataset[J]. Roboflow Universe","year":"2023","unstructured":"Elte. snails Dataset[J]. Roboflow Universe, 2023.","key":"e_1_3_3_1_24_2"},{"volume-title":"capricorne_asiatique Dataset[J]. Roboflow Universe","year":"2022","unstructured":"Workspace. capricorne_asiatique Dataset[J]. Roboflow Universe, 2022.","key":"e_1_3_3_1_25_2"},{"unstructured":"InsectDetection. Insect-Detection Dataset[J]. Roboflow Universe 2024.","key":"e_1_3_3_1_26_2"},{"key":"e_1_3_3_1_27_2","volume-title":"CSPNet: A New Backbone that can Enhance Learning Capability of CNN: 2020 IEEE\/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)","author":"Wang C. Y.","year":"2020","unstructured":"C. Y. Wang, H. Y. Mark Liao, Y. H. Wu, et al.CSPNet: A New Backbone that can Enhance Learning Capability of CNN: 2020 IEEE\/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 14-19 June 2020, 2020[C]. 1571-1580. 10.1109\/CVPRW50498.2020.00203"},{"key":"e_1_3_3_1_28_2","first-page":"10","article-title":"Path Aggregation Network for Instance Segmentation[J]","author":"Liu Shu","year":"2018","unstructured":"Shu Liu, Lu Qi, Haifang Qin, et al. Path Aggregation Network for Instance Segmentation[J]. IEEE, 2018. 10.48550\/arXiv.1803.01534","journal-title":"IEEE"}],"event":{"acronym":"MLMI 2024","name":"MLMI 2024: 2024 The 7th International Conference on Machine Learning and Machine Intelligence (MLMI)","location":"Osaka Japan"},"container-title":["Proceedings of the 2024 7th International Conference on Machine Learning and Machine Intelligence (MLMI)"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3696271.3696304","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3696271.3696304","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,19]],"date-time":"2025-06-19T00:04:01Z","timestamp":1750291441000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3696271.3696304"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,8,2]]},"references-count":28,"alternative-id":["10.1145\/3696271.3696304","10.1145\/3696271"],"URL":"https:\/\/doi.org\/10.1145\/3696271.3696304","relation":{},"subject":[],"published":{"date-parts":[[2024,8,2]]},"assertion":[{"value":"2024-12-02","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}