{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,15]],"date-time":"2025-10-15T18:14:19Z","timestamp":1760552059169,"version":"3.28.0"},"reference-count":30,"publisher":"IEEE","license":[{"start":{"date-parts":[[2023,11,9]],"date-time":"2023-11-09T00:00:00Z","timestamp":1699488000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,11,9]],"date-time":"2023-11-09T00:00:00Z","timestamp":1699488000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61973296,U1913201"],"award-info":[{"award-number":["61973296,U1913201"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023,11,9]]},"DOI":"10.1109\/icdl55364.2023.10364445","type":"proceedings-article","created":{"date-parts":[[2023,12,25]],"date-time":"2023-12-25T14:40:19Z","timestamp":1703515219000},"page":"512-517","source":"Crossref","is-referenced-by-count":2,"title":["Abnormal Object Detection of the Transmission Lines with YOLOv5 and Federated Learning"],"prefix":"10.1109","author":[{"given":"Kaihong","family":"Zhang","sequence":"first","affiliation":[{"name":"Southern University of Science and Technology,Shenzhen,China"}]},{"given":"Yimin","family":"Zhou","sequence":"additional","affiliation":[{"name":"Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences,Shenzhen,China"}]}],"member":"263","reference":[{"volume-title":"A visual-based method for identifying power transmission lines and detecting abnormal object intrusions online","key":"ref1","article-title":"State Grid Shanxi Electric Power Company, Lvliang Power Supply Company"},{"issue":"03","key":"ref2","first-page":"89","article-title":"Research on foreign object detection in power transmission lines based on ML-S2OCELM","volume":"40","author":"Chen","journal-title":"Journal of Nanjing University of Posts and Telecommunications (Natural Science Edition)"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1007\/978-981-15-1465-4_28"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.81"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.169"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2016.2577031"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46448-0_2"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.01157"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/cvpr.2017.195"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.4324\/9781410605337-29"},{"journal-title":"arXiv preprint","article-title":"Yolov3: An incremental improvement","author":"Redmon","key":"ref11"},{"key":"ref12","first-page":"448","article-title":"Batch normalization: Accelerating deep network training by reducing internal covariate shift","volume-title":"International conference on machine learning","author":"Ioffe"},{"key":"ref13","first-page":"1273","article-title":"Communication-efficient learning of deep networks from decentral-ized data","author":"McMahan","journal-title":"Artificial intelligence and statistics"},{"journal-title":"arXiv preprint","article-title":"On the convergence of fedavg on non-iid data","author":"Li","key":"ref14"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/cvpr.2017.195"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00165"},{"journal-title":"arXiv preprint","article-title":"Slim-neck by GSConv: A better design paradigm of detector architectures for autonomous vehicles","author":"Li","key":"ref17"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00525"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00953"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.01385"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00075"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2022.07.042"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i07.6999"},{"journal-title":"arXiv preprint","article-title":"SIoU loss: More powerful learning for bounding box regression","author":"Gevorgyan","key":"ref24"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01350"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2022.3192049"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00745"},{"key":"ref28","first-page":"429","article-title":"Federated optimization in heterogeneous networks","volume":"2","author":"Li","journal-title":"Proceedings of Machine learning and systems"},{"journal-title":"arXiv preprint","article-title":"Asynchronous federated optimization","author":"Xie","key":"ref29"},{"journal-title":"arXiv preprint","article-title":"Wise-IoU: Bounding Box Regression Loss with Dynamic Focusing Mechanism","author":"Tong","key":"ref30"}],"event":{"name":"2023 IEEE International Conference on Development and Learning (ICDL)","start":{"date-parts":[[2023,11,9]]},"location":"Macau, China","end":{"date-parts":[[2023,11,11]]}},"container-title":["2023 IEEE International Conference on Development and Learning (ICDL)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10364334\/10364349\/10364445.pdf?arnumber=10364445","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,12]],"date-time":"2024-01-12T17:42:00Z","timestamp":1705081320000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10364445\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,11,9]]},"references-count":30,"URL":"https:\/\/doi.org\/10.1109\/icdl55364.2023.10364445","relation":{},"subject":[],"published":{"date-parts":[[2023,11,9]]}}}