{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,1]],"date-time":"2025-10-01T15:32:38Z","timestamp":1759332758264,"version":"3.37.3"},"reference-count":57,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"2","license":[{"start":{"date-parts":[[2024,2,1]],"date-time":"2024-02-01T00:00:00Z","timestamp":1706745600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2024,2,1]],"date-time":"2024-02-01T00:00:00Z","timestamp":1706745600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,2,1]],"date-time":"2024-02-01T00:00:00Z","timestamp":1706745600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"Cooperation and Exchange Program of International Science and Technology of Shaanxi Province","award":["2019KW-010"],"award-info":[{"award-number":["2019KW-010"]}]},{"DOI":"10.13039\/501100011436","name":"State Key Laboratory of Electrical Insulation and Power Equipment","doi-asserted-by":"publisher","award":["EIPE16313"],"award-info":[{"award-number":["EIPE16313"]}],"id":[{"id":"10.13039\/501100011436","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100011436","name":"State Key Laboratory of Electrical Insulation and Power Equipment","doi-asserted-by":"publisher","award":["EIPE21310"],"award-info":[{"award-number":["EIPE21310"]}],"id":[{"id":"10.13039\/501100011436","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012226","name":"Fundamental Research Funds for the Central University and HPC Platform, Xi\u2019an Jiaotong University","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100012226","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Neural Netw. Learning Syst."],"published-print":{"date-parts":[[2024,2]]},"DOI":"10.1109\/tnnls.2022.3190139","type":"journal-article","created":{"date-parts":[[2022,7,25]],"date-time":"2022-07-25T19:49:23Z","timestamp":1658778563000},"page":"2413-2424","source":"Crossref","is-referenced-by-count":9,"title":["Multitargets Joint Training Lightweight Model for Object Detection of Substation"],"prefix":"10.1109","volume":"35","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3734-0995","authenticated-orcid":false,"given":"Xingyu","family":"Yan","sequence":"first","affiliation":[{"name":"Shaanxi Key Laboratory of Smart Grid and the State Key Laboratory of Electrical Insulation and Power Equipment, School of Electrical Engineering, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, China"}]},{"given":"Lixin","family":"Jia","sequence":"additional","affiliation":[{"name":"Shaanxi Key Laboratory of Smart Grid and the State Key Laboratory of Electrical Insulation and Power Equipment, School of Electrical Engineering, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3301-2713","authenticated-orcid":false,"given":"Hui","family":"Cao","sequence":"additional","affiliation":[{"name":"Shaanxi Key Laboratory of Smart Grid and the State Key Laboratory of Electrical Insulation and Power Equipment, School of Electrical Engineering, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, China"}]},{"given":"Yajie","family":"Yu","sequence":"additional","affiliation":[{"name":"Shaanxi Key Laboratory of Smart Grid and the State Key Laboratory of Electrical Insulation and Power Equipment, School of Electrical Engineering, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, China"}]},{"given":"Tao","family":"Wang","sequence":"additional","affiliation":[{"name":"Shaanxi Key Laboratory of Smart Grid and the State Key Laboratory of Electrical Insulation and Power Equipment, School of Electrical Engineering, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, China"}]},{"given":"Feng","family":"Zhang","sequence":"additional","affiliation":[{"name":"Shaanxi Key Laboratory of Smart Grid and the State Key Laboratory of Electrical Insulation and Power Equipment, School of Electrical Engineering, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5253-5598","authenticated-orcid":false,"given":"Qingshu","family":"Guan","sequence":"additional","affiliation":[{"name":"Shaanxi Key Laboratory of Smart Grid and the State Key Laboratory of Electrical Insulation and Power Equipment, School of Electrical Engineering, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, China"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.3390\/en13236209"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/ICHVE49031.2020.9279654"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2014.08.027"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-17989-2_3"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-27000-5_34"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/GCIS.2010.74"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2014.2369525"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1002\/etep.2558"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TPWRD.2018.2872820"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.2316\/Journal.206.2017.1.206-4624"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/ICRAS.2017.8071914"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TIE.2017.2682037"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2020.2965635"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TIE.2019.2899555"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1016\/j.measurement.2019.107333"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.3390\/en12071204"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TPDS.2020.3046018"},{"key":"ref18","article-title":"Deep compression: Compressing deep neural networks with pruning, trained quantization and Huffman coding","author":"Han","year":"2015","journal-title":"arXiv:1510.00149"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1145\/3007787.3001163"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.574"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00161"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TPDS.2021.3067825"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2018.2872995"},{"key":"ref24","article-title":"SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5 MB model size","author":"Iandola","year":"2016","journal-title":"arXiv:1602.07360"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00474"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00140"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00716"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01264-9_8"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2020.2986875"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.48550\/arXiv.1503.02531"},{"key":"ref31","article-title":"Like what you like: Knowledge distill via neuron selectivity transfer","author":"Huang","year":"2017","journal-title":"arXiv:1707.01219"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2019.2929114"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2019.2892035"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2019.2926481"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2020.2970494"},{"key":"ref36","article-title":"Conditional generative adversarial nets","author":"Mirza","year":"2014","journal-title":"arXiv:1411.1784"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00454"},{"key":"ref38","first-page":"742","article-title":"Learning efficient object detection models with knowledge distillation","volume-title":"Proc. 31st Int. Conf. Neural Inf. Process. Syst.","author":"Chen"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00907"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00293"},{"key":"ref41","article-title":"MixConv: Mixed depthwise convolutional kernels","author":"Tan","year":"2019","journal-title":"arXiv:1907.09595"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.01099"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.169"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/TASE.2020.2964289"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.l007\/978-3-319-46448-0_2"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.91"},{"key":"ref47","article-title":"YOLOv4: Optimal speed and accuracy of object detection","author":"Bochkovskiy","year":"2020","journal-title":"arXiv:2004.10934"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00986"},{"key":"ref49","article-title":"Probabilistic two-stage detection","author":"Zhou","year":"2021","journal-title":"arXiv:2103.07461"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1007\/s00521-021-06029-z"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2018.2875002"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2017.2787672"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2020.3018120"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00775"},{"key":"ref55","article-title":"Localization distillation for dense object detection","author":"Zheng","year":"2021","journal-title":"arXiv:2102.12252"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00219"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-009-0275-4"}],"container-title":["IEEE Transactions on Neural Networks and Learning Systems"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/5962385\/10422842\/09839525.pdf?arnumber=9839525","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,12,11]],"date-time":"2024-12-11T01:44:59Z","timestamp":1733881499000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9839525\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,2]]},"references-count":57,"journal-issue":{"issue":"2"},"URL":"https:\/\/doi.org\/10.1109\/tnnls.2022.3190139","relation":{},"ISSN":["2162-237X","2162-2388"],"issn-type":[{"type":"print","value":"2162-237X"},{"type":"electronic","value":"2162-2388"}],"subject":[],"published":{"date-parts":[[2024,2]]}}}