{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,20]],"date-time":"2026-06-20T04:51:58Z","timestamp":1781931118787,"version":"3.54.5"},"reference-count":38,"publisher":"Springer Science and Business Media LLC","issue":"5","license":[{"start":{"date-parts":[[2026,6,20]],"date-time":"2026-06-20T00:00:00Z","timestamp":1781913600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2026,6,20]],"date-time":"2026-06-20T00:00:00Z","timestamp":1781913600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"funder":[{"name":"General Project of Shanxi Basic Research Program","award":["202203021221153"],"award-info":[{"award-number":["202203021221153"]}]},{"name":"National Natural Science Foundation of China Youth Fund","award":["61703297"],"award-info":[{"award-number":["61703297"]}]},{"name":"the Scientific and Technological Innovation Project in Higher Education Institutions of Shanxi Province","award":["2023L185"],"award-info":[{"award-number":["2023L185"]}]},{"name":"Shanxi Provincial Basic Research Program Project","award":["202303021222164"],"award-info":[{"award-number":["202303021222164"]}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Machine Vision and Applications"],"published-print":{"date-parts":[[2026,9]]},"DOI":"10.1007\/s00138-026-01867-0","type":"journal-article","created":{"date-parts":[[2026,6,20]],"date-time":"2026-06-20T04:35:29Z","timestamp":1781930129000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["YOLO-GHS: high-precision detection of insulator defects on transmission lines under severe weather conditions"],"prefix":"10.1007","volume":"37","author":[{"given":"Xiaoyang","family":"Song","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Liqun","family":"Liu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Qingfeng","family":"Wu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kai","family":"Yang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ruizhen","family":"Liu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2026,6,20]]},"reference":[{"issue":"2","key":"1867_CR1","doi-asserted-by":"publisher","first-page":"1063","DOI":"10.1109\/TPWRD.2024.3350162","volume":"39","author":"B Luo","year":"2024","unstructured":"Luo, B., Xiao, J., Zhu, G., et al.: Occluded insulator detection system based on YOLOX of multi-scale feature fusion. IEEE Trans. Power Deliv. 39(2), 1063\u20131074 (2024)","journal-title":"IEEE Trans. Power Deliv."},{"issue":"14","key":"1867_CR2","doi-asserted-by":"publisher","first-page":"43419","DOI":"10.1007\/s11042-023-17245-1","volume":"83","author":"K Yang","year":"2024","unstructured":"Yang, K., Zhang, Y., Zhang, X., et al.: YOLOX with CBAM for insulator detection in transmission lines. Multimed. Tools Appl. 83(14), 43419\u201343437 (2024)","journal-title":"Multimed. Tools Appl."},{"key":"1867_CR3","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2025.3527530","author":"Q Zhang","year":"2025","unstructured":"Zhang, Q., Zhang, J., Li, Y., et al.: ID-YOLO: a multi-module optimized algorithm for insulator defect detection in power transmission lines. IEEE Trans. Instrum. Meas. (2025). https:\/\/doi.org\/10.1109\/TIM.2025.3527530","journal-title":"IEEE Trans. Instrum. Meas."},{"key":"1867_CR4","doi-asserted-by":"publisher","DOI":"10.1016\/j.measurement.2025.117410","volume":"253","author":"X You","year":"2025","unstructured":"You, X., Zhao, X.: A insulator defect detection network based on improved YOLOv7 for UAV aerial images. Measurement 253, 117410 (2025)","journal-title":"Measurement"},{"issue":"2","key":"1867_CR5","doi-asserted-by":"publisher","first-page":"526","DOI":"10.3390\/app15020526","volume":"15","author":"X Tan","year":"2025","unstructured":"Tan, X., Hou, S., Yang, F., et al.: Transmission lines insulator state detection method based on deep learning. Appl. Sci. 15(2), 526 (2025)","journal-title":"Appl. Sci."},{"issue":"1","key":"1867_CR6","doi-asserted-by":"publisher","first-page":"69","DOI":"10.1049\/hve2.12513","volume":"10","author":"Y Yang","year":"2025","unstructured":"Yang, Y., Yang, S., Li, C., et al.: Insulator defect detection under extreme weather based on synthetic weather algorithm and improved YOLOv7. High Voltage 10(1), 69\u201377 (2025)","journal-title":"High Voltage"},{"issue":"6","key":"1867_CR7","doi-asserted-by":"publisher","first-page":"365","DOI":"10.1007\/s10489-025-06280-0","volume":"55","author":"S Deng","year":"2025","unstructured":"Deng, S., Chen, L., He, Y.: Insulator defect detection from aerial images in adverse weather conditions. Appl. Intell. 55(6), 365 (2025)","journal-title":"Appl. Intell."},{"key":"1867_CR8","doi-asserted-by":"crossref","unstructured":"Hmidani, O., Alaoui, EI.: A comprehensive survey of the R-CNN family for object detection. In: 2022 5th International Conference on Advanced Communication Technologies and Networking (CommNet). IEEE, (2022)","DOI":"10.1109\/CommNet56067.2022.9993862"},{"key":"1867_CR9","doi-asserted-by":"crossref","unstructured":"Yi, W., Su, X.: Insulator defect detection based on YOLOv11s. In: Fourth International Conference on Electronic Information Engineering and Data Processing (EIEDP 2025). SPIE. 13574, 168\u2013175 (2025)","DOI":"10.1117\/12.3067133"},{"key":"1867_CR10","doi-asserted-by":"publisher","DOI":"10.3389\/frsip.2022.826967","volume":"2","author":"R Sun","year":"2022","unstructured":"Sun, R., et al.: Survey of image edge detection. Front. Signal Process. 2, 826967 (2022)","journal-title":"Front. Signal Process."},{"issue":"1","key":"1867_CR11","doi-asserted-by":"publisher","first-page":"WA253","DOI":"10.1190\/geo2022-0179.1","volume":"88","author":"D Liu","year":"2023","unstructured":"Liu, D., et al.: Improving sparse representation with deep learning: a workflow for separating strong background interference. Geophysics 88(1), WA253 (2023)","journal-title":"Geophysics"},{"key":"1867_CR12","doi-asserted-by":"crossref","unstructured":"Girshick, R., Donahue, J., Darrell, T., et al.: Rich feature hierarchies for accurate object detection and semantic segmentation. In: 2014 IEEE Conference on Computer Vision and Pattern Recognition. [S. l.]: IEEE, 580\u2013587 (2014)","DOI":"10.1109\/CVPR.2014.81"},{"issue":"2","key":"1867_CR13","doi-asserted-by":"publisher","first-page":"74","DOI":"10.1007\/s11554-025-01660-8","volume":"22","author":"C Hu","year":"2025","unstructured":"Hu, C., Lv, L., Zhou, T.: UAV inspection insulator defect detection method based on dynamic adaptation improved YOLOv8. J. Real-Time Image Proc. 22(2), 74 (2025)","journal-title":"J. Real-Time Image Proc."},{"key":"1867_CR14","doi-asserted-by":"publisher","DOI":"10.1016\/j.jvcir.2023.103830","volume":"93","author":"K Tong","year":"2023","unstructured":"Tong, K., Yiquan, W.: Rethinking PASCAL-VOC and MS-COCO dataset for small object detection. J. Vis. Commun. Image Represent. 93, 103830 (2023)","journal-title":"J. Vis. Commun. Image Represent."},{"key":"1867_CR15","doi-asserted-by":"crossref","unstructured":"Girshick, R.: Fast r-cnn. In: Proceedings of the IEEE International Conference on Computer Vision (2015)","DOI":"10.1109\/ICCV.2015.169"},{"issue":"1","key":"1867_CR16","doi-asserted-by":"publisher","first-page":"30093","DOI":"10.1038\/s41598-025-12740-x","volume":"15","author":"Y Leng","year":"2025","unstructured":"Leng, Y., Liu, J.: Improved faster R-CNN for steel surface defect detection in industrial quality control. Sci. Rep. 15(1), 30093 (2025)","journal-title":"Sci. Rep."},{"issue":"2","key":"1867_CR17","doi-asserted-by":"publisher","first-page":"69","DOI":"10.1007\/s11554-025-01651-9","volume":"22","author":"X Song","year":"2025","unstructured":"Song, X., Sun, Q., Liu, J., et al.: ES-YOLOv8: a real-time defect detection algorithm in transmission line insulators. J. Real-Time Image Proc. 22(2), 69 (2025)","journal-title":"J. Real-Time Image Proc."},{"key":"1867_CR18","doi-asserted-by":"publisher","DOI":"10.3390\/s24185910","volume":"24","author":"B Zeng","year":"2024","unstructured":"Zeng, B., Zhou, Y., He, D., Zhou, Z., Hao, S., Yi, K., Li, Z., Zhang, W., Xie, Y.: Research on lightweight method of insulator target detection based on improved SSD. Sensors 24, 5910 (2024)","journal-title":"Sensors"},{"key":"1867_CR19","doi-asserted-by":"publisher","DOI":"10.3389\/feart.2023.1337982","volume":"11","author":"D Wei","year":"2024","unstructured":"Wei, D., Hu, B., Shan, C., et al.: Insulator defect detection based on improved Yolov5s. Front. Earth Sci. 11, 1337982 (2024)","journal-title":"Front. Earth Sci."},{"issue":"7","key":"1867_CR20","doi-asserted-by":"publisher","first-page":"11651","DOI":"10.1109\/JSEN.2024.3356356","volume":"24","author":"X Li","year":"2024","unstructured":"Li, X., et al.: A novel hybrid YOLO approach for precise paper defect detection with a dual-layer template and an attention mechanism. IEEE Sens. J. 24(7), 11651\u201311669 (2024)","journal-title":"IEEE Sens. J."},{"key":"1867_CR21","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2025.3580902","author":"X Li","year":"2025","unstructured":"Li, X., et al.: ASFM-AFD: multi-modal fusion of AFD-optimized LiDAR and camera data for paper defect detection. IEEE Trans. Instrum. Meas. (2025). https:\/\/doi.org\/10.1109\/TIM.2025.3580902","journal-title":"IEEE Trans. Instrum. Meas."},{"key":"1867_CR22","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2025.3557112","author":"X Li","year":"2025","unstructured":"Li, X., et al.: Enhancing the interpretation of spirometry: joint utilization of n-order adaptive fourier decomposition and deep learning techniques. IEEE Trans. Instrum. Meas. (2025). https:\/\/doi.org\/10.1109\/TIM.2025.3557112","journal-title":"IEEE Trans. Instrum. Meas."},{"issue":"1","key":"1867_CR23","doi-asserted-by":"publisher","first-page":"191","DOI":"10.1186\/s13020-025-01249-0","volume":"20","author":"X Li","year":"2025","unstructured":"Li, X., et al.: TCM-DS: a large language model for intelligent traditional Chinese medicine edible herbal formulas recommendations. Chinese Medicine 20(1), 191 (2025)","journal-title":"Chinese Medicine"},{"key":"1867_CR24","doi-asserted-by":"crossref","unstructured":"Zhao, Y., et al.: Detrs beat yolos on real-time object detection. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition (2024)","DOI":"10.1109\/CVPR52733.2024.01605"},{"key":"1867_CR25","doi-asserted-by":"crossref","unstructured":"Han, K., et al.: Ghostnet: more features from cheap operations. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition (2020)","DOI":"10.1109\/CVPR42600.2020.00165"},{"key":"1867_CR26","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2024.110714","volume":"155","author":"Z Yu","year":"2024","unstructured":"Yu, Z., Huang, H., Chen, W., Su, Y., Liu, Y., Wang, X.: Yolo-facev2: a scale and occlusion aware face detector. Pattern Recogn. 155, 110714 (2024)","journal-title":"Pattern Recogn."},{"key":"1867_CR27","doi-asserted-by":"publisher","DOI":"10.1016\/j.compeleceng.2024.109259","volume":"117","author":"Z Tao","year":"2024","unstructured":"Tao, Z., He, Y., Lin, S., Yi, T., Li, M.: Snakenet: an adaptive network for small object and complex background for insulator surface defect detection. Comput. Electr. Eng. 117, 109259 (2024)","journal-title":"Comput. Electr. Eng."},{"issue":"2","key":"1867_CR28","first-page":"118","volume":"1","author":"D Arwidiyarti","year":"2025","unstructured":"Arwidiyarti, D.: Single shot multibox detector (SSD) in object detection: a review. IJACI Int. J. Adv. Comput. Inf. 1(2), 118\u2013127 (2025)","journal-title":"IJACI Int. J. Adv. Comput. Inf."},{"issue":"1","key":"1867_CR29","doi-asserted-by":"publisher","first-page":"69","DOI":"10.1007\/s11760-024-03576-5","volume":"19","author":"J Guo","year":"2025","unstructured":"Guo, J., Shao, M.Z., Chen, X.Y., et al.: Research on night-time vehicle target detection based on improved KSC-YOLO V5. SIViP 19(1), 69 (2025)","journal-title":"SIViP"},{"key":"1867_CR30","doi-asserted-by":"publisher","DOI":"10.1109\/jstars.2025.3547058","author":"R Vaghela","year":"2025","unstructured":"Vaghela, R., Vaishnani, D., Srinivasu, P.N., et al.: Land cover classification for identifying the agriculture fields using versions of YOLO v8. IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens. (2025). https:\/\/doi.org\/10.1109\/jstars.2025.3547058","journal-title":"IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens."},{"issue":"1","key":"1867_CR31","first-page":"440","volume":"5","author":"V Hendriko","year":"2025","unstructured":"Hendriko, V., Hermanto, D.: Performance comparison of YOLOv10, YOLOv11, and YOLOv12 models on human detection datasets. Brill. Res. Artif. Intell. 5(1), 440\u2013450 (2025)","journal-title":"Brill. Res. Artif. Intell."},{"key":"1867_CR32","doi-asserted-by":"crossref","unstructured":"Wang, H., He, Q., Peng, J., et al.: Mamba-yolo-world: marrying yolo-world with mamba for open-vocabulary detection. In: ICASSP 2025\u20132025 IEEE international conference on acoustics, speech and signal processing (ICASSP). IEEE, 1\u20135 (2025)","DOI":"10.1109\/ICASSP49660.2025.10888334"},{"key":"1867_CR33","unstructured":"Chen, H., et al. Vanillanet: the power of minimalism in deep learning. arXiv 2023. arXiv preprint arXiv:2305.12972"},{"key":"1867_CR34","doi-asserted-by":"crossref","unstructured":"Cai, X., et al.: Poly kernel inception network for remote sensing detection. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition (2024)","DOI":"10.1109\/CVPR52733.2024.02617"},{"key":"1867_CR35","doi-asserted-by":"crossref","unstructured":"Ma, X., et al.: Rewrite the stars. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition (2024)","DOI":"10.1109\/CVPR52733.2024.00544"},{"key":"1867_CR36","doi-asserted-by":"publisher","first-page":"42","DOI":"10.1016\/j.neuroscience.2025.04.010","volume":"574","author":"S Ince","year":"2025","unstructured":"Ince, S., Kunduracioglu, I., Algarni, A., et al.: Deep learning for cerebral vascular occlusion segmentation: a novel ConvNeXtV2 and GRN-integrated U-Net framework for diffusion-weighted imaging. Neuroscience 574, 42\u201353 (2025)","journal-title":"Neuroscience"},{"issue":"3","key":"1867_CR37","doi-asserted-by":"publisher","first-page":"1643","DOI":"10.1007\/s13042-024-02357-3","volume":"16","author":"Z Ren","year":"2025","unstructured":"Ren, Z., Yao, K., Sheng, S., et al.: YOLO-SDH: improved YOLOv5 using scaled decoupled head for object detection. Int. J. Mach. Learn. Cybern. 16(3), 1643\u20131660 (2025)","journal-title":"Int. J. Mach. Learn. Cybern."},{"issue":"4","key":"1867_CR38","doi-asserted-by":"publisher","first-page":"04025016","DOI":"10.1061\/JCEMD4.COENG-15670","volume":"151","author":"Z Jiang","year":"2025","unstructured":"Jiang, Z., Han, Y., Cheng, Y., et al.: An improved YOLOv8-Dyhead-WiseIoU model for positioning and counting detection of grouting sleeves in a prefabricated wall. J. Constr. Eng. Manag. 151(4), 04025016 (2025)","journal-title":"J. Constr. Eng. Manag."}],"container-title":["Machine Vision and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00138-026-01867-0.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s00138-026-01867-0","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00138-026-01867-0.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,6,20]],"date-time":"2026-06-20T04:35:44Z","timestamp":1781930144000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s00138-026-01867-0"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,6,20]]},"references-count":38,"journal-issue":{"issue":"5","published-print":{"date-parts":[[2026,9]]}},"alternative-id":["1867"],"URL":"https:\/\/doi.org\/10.1007\/s00138-026-01867-0","relation":{},"ISSN":["0932-8092","1432-1769"],"issn-type":[{"value":"0932-8092","type":"print"},{"value":"1432-1769","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,6,20]]},"assertion":[{"value":"5 November 2025","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"16 April 2026","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"15 June 2026","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"20 June 2026","order":4,"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 conflict of interest.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}],"article-number":"101"}}