{"id":"https://openalex.org/W4387754183","doi":"https://doi.org/10.1109/icnc-fskd59587.2023.10281144","title":"Transmission line inspection models improved by synthetic data from diffusion models","display_name":"Transmission line inspection models improved by synthetic data from diffusion models","publication_year":2023,"publication_date":"2023-07-29","ids":{"openalex":"https://openalex.org/W4387754183","doi":"https://doi.org/10.1109/icnc-fskd59587.2023.10281144"},"language":"en","primary_location":{"id":"doi:10.1109/icnc-fskd59587.2023.10281144","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icnc-fskd59587.2023.10281144","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 19th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100374963","display_name":"Jing Liu","orcid":"https://orcid.org/0000-0002-0844-5296"},"institutions":[{"id":"https://openalex.org/I17442442","display_name":"State Grid Corporation of China (China)","ror":"https://ror.org/05twwhs70","country_code":"CN","type":"company","lineage":["https://openalex.org/I17442442"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jing Liu","raw_affiliation_strings":["State Grid Information and Telecommunication Group,Beijing,China","State Grid Information and Telecommunication Group, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Grid Information and Telecommunication Group,Beijing,China","institution_ids":["https://openalex.org/I17442442"]},{"raw_affiliation_string":"State Grid Information and Telecommunication Group, Beijing, China","institution_ids":["https://openalex.org/I17442442"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017061776","display_name":"Jiangbin Yu","orcid":"https://orcid.org/0009-0004-7549-2449"},"institutions":[{"id":"https://openalex.org/I17442442","display_name":"State Grid Corporation of China (China)","ror":"https://ror.org/05twwhs70","country_code":"CN","type":"company","lineage":["https://openalex.org/I17442442"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiangbin Yu","raw_affiliation_strings":["State Grid Information and Telecommunication Group,Beijing,China","State Grid Information and Telecommunication Group, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Grid Information and Telecommunication Group,Beijing,China","institution_ids":["https://openalex.org/I17442442"]},{"raw_affiliation_string":"State Grid Information and Telecommunication Group, Beijing, China","institution_ids":["https://openalex.org/I17442442"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100738994","display_name":"Xiaodong Wang","orcid":"https://orcid.org/0009-0009-3848-2512"},"institutions":[{"id":"https://openalex.org/I17442442","display_name":"State Grid Corporation of China (China)","ror":"https://ror.org/05twwhs70","country_code":"CN","type":"company","lineage":["https://openalex.org/I17442442"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaodong Wang","raw_affiliation_strings":["State Grid Information and Telecommunication Group,Beijing,China","State Grid Information and Telecommunication Group, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Grid Information and Telecommunication Group,Beijing,China","institution_ids":["https://openalex.org/I17442442"]},{"raw_affiliation_string":"State Grid Information and Telecommunication Group, Beijing, China","institution_ids":["https://openalex.org/I17442442"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101352636","display_name":"Wenping Nie","orcid":null},"institutions":[{"id":"https://openalex.org/I17442442","display_name":"State Grid Corporation of China (China)","ror":"https://ror.org/05twwhs70","country_code":"CN","type":"company","lineage":["https://openalex.org/I17442442"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenping Nie","raw_affiliation_strings":["State Grid Information and Telecommunication Group,Beijing,China","State Grid Information and Telecommunication Group, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Grid Information and Telecommunication Group,Beijing,China","institution_ids":["https://openalex.org/I17442442"]},{"raw_affiliation_string":"State Grid Information and Telecommunication Group, Beijing, China","institution_ids":["https://openalex.org/I17442442"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010201196","display_name":"Linyu Zhang","orcid":"https://orcid.org/0000-0003-0907-675X"},"institutions":[{"id":"https://openalex.org/I17442442","display_name":"State Grid Corporation of China (China)","ror":"https://ror.org/05twwhs70","country_code":"CN","type":"company","lineage":["https://openalex.org/I17442442"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Linyu Zhang","raw_affiliation_strings":["State Grid Information and Telecommunication Group,Beijing,China","State Grid Information and Telecommunication Group, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Grid Information and Telecommunication Group,Beijing,China","institution_ids":["https://openalex.org/I17442442"]},{"raw_affiliation_string":"State Grid Information and Telecommunication Group, Beijing, China","institution_ids":["https://openalex.org/I17442442"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5104203719","display_name":"Zhengguo Pu","orcid":null},"institutions":[{"id":"https://openalex.org/I17442442","display_name":"State Grid Corporation of China (China)","ror":"https://ror.org/05twwhs70","country_code":"CN","type":"company","lineage":["https://openalex.org/I17442442"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhengguo Pu","raw_affiliation_strings":["State Grid Information and Telecommunication Group,Beijing,China","State Grid Information and Telecommunication Group, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Grid Information and Telecommunication Group,Beijing,China","institution_ids":["https://openalex.org/I17442442"]},{"raw_affiliation_string":"State Grid Information and Telecommunication Group, Beijing, China","institution_ids":["https://openalex.org/I17442442"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I17442442"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"22","issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13715","display_name":"Power Line Inspection Robots","score":0.9664999842643738,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T13715","display_name":"Power Line Inspection Robots","score":0.9664999842643738,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9473999738693237,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10515","display_name":"Cancer-related molecular mechanisms research","score":0.9456999897956848,"subfield":{"id":"https://openalex.org/subfields/1306","display_name":"Cancer Research"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8180999755859375},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5964882373809814},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.5767146944999695},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.5563544034957886},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5246589183807373},{"id":"https://openalex.org/keywords/synthetic-data","display_name":"Synthetic data","score":0.5079010128974915},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5059639811515808},{"id":"https://openalex.org/keywords/transmission","display_name":"Transmission (telecommunications)","score":0.5031115412712097},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.496952086687088},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.49651557207107544},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.48519256711006165},{"id":"https://openalex.org/keywords/data-transmission","display_name":"Data transmission","score":0.4803701341152191},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.46600326895713806},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4442308843135834},{"id":"https://openalex.org/keywords/training","display_name":"Training (meteorology)","score":0.4340721368789673},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.42831581830978394},{"id":"https://openalex.org/keywords/computer-engineering","display_name":"Computer engineering","score":0.4257453680038452},{"id":"https://openalex.org/keywords/generative-model","display_name":"Generative model","score":0.42391538619995117},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.4128299653530121},{"id":"https://openalex.org/keywords/electric-power-transmission","display_name":"Electric power transmission","score":0.41092735528945923},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.08455094695091248},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07995572686195374},{"id":"https://openalex.org/keywords/computer-hardware","display_name":"Computer hardware","score":0.07604172825813293},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.07477939128875732}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8180999755859375},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5964882373809814},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.5767146944999695},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.5563544034957886},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5246589183807373},{"id":"https://openalex.org/C160920958","wikidata":"https://www.wikidata.org/wiki/Q7662746","display_name":"Synthetic data","level":2,"score":0.5079010128974915},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5059639811515808},{"id":"https://openalex.org/C761482","wikidata":"https://www.wikidata.org/wiki/Q118093","display_name":"Transmission (telecommunications)","level":2,"score":0.5031115412712097},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.496952086687088},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.49651557207107544},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.48519256711006165},{"id":"https://openalex.org/C557945733","wikidata":"https://www.wikidata.org/wiki/Q389772","display_name":"Data transmission","level":2,"score":0.4803701341152191},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.46600326895713806},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4442308843135834},{"id":"https://openalex.org/C2777211547","wikidata":"https://www.wikidata.org/wiki/Q17141490","display_name":"Training (meteorology)","level":2,"score":0.4340721368789673},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.42831581830978394},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.4257453680038452},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.42391538619995117},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.4128299653530121},{"id":"https://openalex.org/C140311924","wikidata":"https://www.wikidata.org/wiki/Q200928","display_name":"Electric power transmission","level":2,"score":0.41092735528945923},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.08455094695091248},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07995572686195374},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.07604172825813293},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.07477939128875732},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icnc-fskd59587.2023.10281144","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icnc-fskd59587.2023.10281144","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 19th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1975602835","https://openalex.org/W2546696630","https://openalex.org/W2598405065","https://openalex.org/W2606473278","https://openalex.org/W2778100917","https://openalex.org/W2806263990","https://openalex.org/W2962964995","https://openalex.org/W2963467339","https://openalex.org/W2964187781","https://openalex.org/W2964227007","https://openalex.org/W2990330438","https://openalex.org/W3016663370","https://openalex.org/W3102166635","https://openalex.org/W3176349206","https://openalex.org/W3212828408"],"related_works":["https://openalex.org/W4312659495","https://openalex.org/W4385366257","https://openalex.org/W4376988852","https://openalex.org/W3101007570","https://openalex.org/W4296551294","https://openalex.org/W4387910575","https://openalex.org/W4296960511","https://openalex.org/W3176425421","https://openalex.org/W3109499659","https://openalex.org/W3091312527"],"abstract_inverted_index":{"The":[0,149],"training":[1,21,32,44,96],"of":[2,42,89,100,111],"deep":[3,50],"learning":[4],"models":[5,52],"is":[6,24,157,166],"inseparable":[7],"from":[8],"sufficient":[9,31],"data":[10,35,90,143],"as":[11,109],"the":[12,17,79,86,98,142,155,162],"driving":[13],"force.":[14],"However,":[15,78],"in":[16,59,71,85,97,115],"power":[18],"transmission":[19,101,138,151],"model":[20,82,147,156,164],"task,":[22],"it":[23],"very":[25],"difficult":[26],"and":[27,75,91,103,113,118,145,159,161],"expensive":[28],"to":[29,123,130,136],"obtain":[30],"samples,":[33],"so":[34],"augmentation":[36],"has":[37],"become":[38],"a":[39,132],"common":[40],"means":[41],"increasing":[43],"samples.":[45,77],"In":[46,121],"recent":[47],"years,":[48],"various":[49],"generative":[51,63],"have":[53,67],"demonstrated":[54],"strong":[55],"sample":[56],"generation":[57],"capabilities":[58],"different":[60],"modalities,":[61],"especially":[62],"adversarial":[64],"networks":[65],"(GANs)":[66],"made":[68],"important":[69],"progress":[70],"synthesizing":[72],"compelling":[73],"image":[74,152],"audio":[76],"traditional":[80],"GAN":[81],"faces":[83],"difficulties":[84],"large":[87],"amount":[88],"computing":[92],"resources":[93],"required":[94],"for":[95],"field":[99],"lines,":[102],"there":[104],"may":[105],"be":[106],"problems":[107],"such":[108],"lack":[110],"diversity":[112],"detail":[114],"generated":[116,153],"images,":[117,140],"unstable":[119],"training.":[120],"order":[122],"solve":[124],"these":[125],"problems,":[126],"this":[127],"paper":[128],"proposes":[129],"use":[131],"diffusion":[133],"model-based":[134],"method":[135],"generate":[137],"line":[139],"expand":[141],"set":[144],"improve":[146],"performance.":[148],"final":[150],"by":[154,168],"complete":[158],"clear,":[160],"overall":[163],"performance":[165],"improved":[167],"1.5%.":[169]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}