{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,8,22]],"date-time":"2025-08-22T16:10:02Z","timestamp":1755879002150,"version":"3.44.0"},"publisher-location":"New York, NY, USA","reference-count":15,"publisher":"ACM","license":[{"start":{"date-parts":[[2024,1,19]],"date-time":"2024-01-19T00:00:00Z","timestamp":1705622400000},"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":[[2024,1,19]]},"DOI":"10.1145\/3653804.3656269","type":"proceedings-article","created":{"date-parts":[[2024,6,1]],"date-time":"2024-06-01T12:22:26Z","timestamp":1717244546000},"page":"1-6","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Research and Application of Lightweight Kiwifruit Recognition Based on Yolov5s"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0009-0007-7239-5442","authenticated-orcid":false,"given":"Jiaming","family":"Zhang","sequence":"first","affiliation":[{"name":"School of Computer Science, Zhongyuan University of Technology, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0009-3146-9251","authenticated-orcid":false,"given":"Zanxia","family":"Qiang","sequence":"additional","affiliation":[{"name":"School of Computer Science, Zhongyuan University of Technology, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0005-0339-1347","authenticated-orcid":false,"given":"Yugang","family":"Li","sequence":"additional","affiliation":[{"name":"School of Computer Science, Zhongyuan University of Technology, China"}]}],"member":"320","published-online":{"date-parts":[[2024,6]]},"reference":[{"issue":"232","key":"e_1_3_2_1_1_1","first-page":"122","article-title":"problems and countermeasures of the development of ready-to-eat Kiwifruit industry in China[J]","volume":"2023","author":"Manxi ZHAI","unstructured":"ZHONG Manxi, ZHAI Shujia, LIU Wei, Current situation, problems and countermeasures of the development of ready-to-eat Kiwifruit industry in China[J]. China Fruits,2023,No.232(02):122-127.","journal-title":"China Fruits"},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.dsp.2022.103514"},{"volume-title":"IEEE Conference on Computer Vision and Pattern Recognition (CVPR),2017:3296-3297","author":"Huang V","key":"e_1_3_2_1_3_1","unstructured":"Huang, V Rathod, C Sun, Speed\/Accuracy Trade-Offs for Modern Convolutional Object Detectors[C]\/\/2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR),2017:3296-3297."},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"crossref","unstructured":"Liu Z Lin Y Cao Y Swin transformer: Hierarchical vision transformer using shifted windows[C]\/\/2021 IEEE\/CVF International Conference on Computer Vision(ICCV) 2021: 9992-10002.","DOI":"10.1109\/ICCV48922.2021.00986"},{"key":"e_1_3_2_1_5_1","first-page":"143","article-title":"Learning discriminative feature representation with pixel-level supervision for forest smoke recognition[J].","volume":"2023","author":"Tao H","unstructured":"Tao H , Duan Q , Lu M ,et al.Learning discriminative feature representation with pixel-level supervision for forest smoke recognition[J].Pattern Recognition: The Journal of the Pattern Recognition Society, 2023:143.","journal-title":"Pattern Recognition: The Journal of the Pattern Recognition Society"},{"key":"e_1_3_2_1_6_1","first-page":"754","article-title":"Fast and accurate detection of kiwifruit in orchardusing improved YOLOv3-tiny model[J]","volume":"2021","author":"Fu L","unstructured":"Fu L, Feng Y, Wu J. Fast and accurate detection of kiwifruit in orchardusing improved YOLOv3-tiny model[J]. Precision Agriculture,2021,23(22):754-776.","journal-title":"Precision Agriculture"},{"key":"e_1_3_2_1_7_1","unstructured":"SONG Zhenzhen. Kiwifruit Canopy Image Segmentation and Multi-classes Fruit Localization Methods based on Deep Learning[D]. Northwest A&F University 2021."},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"crossref","unstructured":"ZHOU J HU W ZOU A Lightweight Detection Algorithm of Kiwifruit Based on Improved YOLOX-S[J]. Agriculture 2022 12 (7):993.","DOI":"10.3390\/agriculture12070993"},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.48550\/arXiv.2107.08430"},{"key":"e_1_3_2_1_10_1","unstructured":"Bochkovskiy A Wang C Y Liao H Y M. Yolov4: Optimal speed and accuracy of object detection[J\/OL].2020. https:\/\/doi.org\/10.48550\/ arXiv.2004.10934."},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"crossref","unstructured":"Suo Rui Gao Fangfang Zhou Zhongxian Improved multi-classes kiwifruit detection in orchard to avoid collisions during robotic picking[J]. Computers and Electronics in Agriculture 2021 1(182):106052.","DOI":"10.1016\/j.compag.2021.106052"},{"key":"e_1_3_2_1_12_1","first-page":"3","article-title":"Sigmoid-weighted linear units for neural network function approximation in reinforcement learning [J]","volume":"2018","author":"Elfwing S","unstructured":"Elfwing S, Uchibe E, Doya K. Sigmoid-weighted linear units for neural network function approximation in reinforcement learning [J]. Neural Netw,2018,31(107): 3-11.","journal-title":"Neural Netw"},{"key":"e_1_3_2_1_13_1","volume-title":"Tian Q","author":"Han K","year":"2020","unstructured":"Han K, Wang Y, Tian Q, Ghostnet: More features from cheap operations[C]\/\/2020 IEEE\/CVF Conference on Computer Vision and Pattern Recognition(CVPR), 2020:1577-1586."},{"key":"e_1_3_2_1_14_1","unstructured":"Vaswani A Shazeer N Parmar N et al.Attention is all you need[J\/OL].Advances in neural information processing systems 2017.https:\/\/doi.org\/10. 48550\/arXiv.1706.03762."},{"key":"e_1_3_2_1_15_1","unstructured":"Ruder S. An overview of gradient descent optimization algorithms[J\/OL].2016. https:\/\/doi.org\/1048550\/arXiv160904747."}],"event":{"name":"CVDL 2024: The International Conference on Computer Vision and Deep Learning","acronym":"CVDL 2024","location":"Changsha China"},"container-title":["Proceedings of the International Conference on Computer Vision and Deep Learning"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3653804.3656269","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3653804.3656269","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,8,22]],"date-time":"2025-08-22T15:28:16Z","timestamp":1755876496000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3653804.3656269"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,1,19]]},"references-count":15,"alternative-id":["10.1145\/3653804.3656269","10.1145\/3653804"],"URL":"https:\/\/doi.org\/10.1145\/3653804.3656269","relation":{},"subject":[],"published":{"date-parts":[[2024,1,19]]},"assertion":[{"value":"2024-06-01","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}