{"id":"https://openalex.org/W4415178790","doi":"https://doi.org/10.1109/access.2025.3621143","title":"RESRTDETR: Cross-Scale Feature Enhancement Based on Reparameterized Convolution and Channel Modulation","display_name":"RESRTDETR: Cross-Scale Feature Enhancement Based on Reparameterized Convolution and Channel Modulation","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4415178790","doi":"https://doi.org/10.1109/access.2025.3621143"},"language":"en","primary_location":{"id":"doi:10.1109/access.2025.3621143","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3621143","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2025.3621143","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5074845057","display_name":"Xi Chen","orcid":"https://orcid.org/0000-0002-9598-2507"},"institutions":[{"id":"https://openalex.org/I157507598","display_name":"Shenyang University of Technology","ror":"https://ror.org/00d7f8730","country_code":"CN","type":"education","lineage":["https://openalex.org/I157507598"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chen Xi","raw_affiliation_strings":["School of Software, Shenyang University of Technology, Shenyang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Software, Shenyang University of Technology, Shenyang, China","institution_ids":["https://openalex.org/I157507598"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010773929","display_name":"Rongbin Cui","orcid":"https://orcid.org/0000-0001-9034-4103"},"institutions":[{"id":"https://openalex.org/I157507598","display_name":"Shenyang University of Technology","ror":"https://ror.org/00d7f8730","country_code":"CN","type":"education","lineage":["https://openalex.org/I157507598"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Cui Rongbin","raw_affiliation_strings":["School of Software, Shenyang University of Technology, Shenyang, China"],"raw_orcid":"https://orcid.org/0009-0000-6436-264X","affiliations":[{"raw_affiliation_string":"School of Software, Shenyang University of Technology, Shenyang, China","institution_ids":["https://openalex.org/I157507598"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028165037","display_name":"\u848b\u96e8\u74a0 Jiang Yufan","orcid":null},"institutions":[{"id":"https://openalex.org/I157507598","display_name":"Shenyang University of Technology","ror":"https://ror.org/00d7f8730","country_code":"CN","type":"education","lineage":["https://openalex.org/I157507598"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiang Yufan","raw_affiliation_strings":["School of Software, Shenyang University of Technology, Shenyang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Software, Shenyang University of Technology, Shenyang, China","institution_ids":["https://openalex.org/I157507598"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5119998158","display_name":"Yao Fulong","orcid":null},"institutions":[{"id":"https://openalex.org/I157507598","display_name":"Shenyang University of Technology","ror":"https://ror.org/00d7f8730","country_code":"CN","type":"education","lineage":["https://openalex.org/I157507598"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yao Fulong","raw_affiliation_strings":["School of Software, Shenyang University of Technology, Shenyang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Software, Shenyang University of Technology, Shenyang, China","institution_ids":["https://openalex.org/I157507598"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080596889","display_name":"Zhang Yingming","orcid":null},"institutions":[{"id":"https://openalex.org/I157507598","display_name":"Shenyang University of Technology","ror":"https://ror.org/00d7f8730","country_code":"CN","type":"education","lineage":["https://openalex.org/I157507598"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhang Yingming","raw_affiliation_strings":["School of Software, Shenyang University of Technology, Shenyang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Software, Shenyang University of Technology, Shenyang, China","institution_ids":["https://openalex.org/I157507598"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5043075442","display_name":"Chunhe Song","orcid":"https://orcid.org/0000-0001-8392-1777"},"institutions":[{"id":"https://openalex.org/I142078773","display_name":"Shenyang Institute of Automation","ror":"https://ror.org/00ft6nj33","country_code":"CN","type":"facility","lineage":["https://openalex.org/I142078773","https://openalex.org/I19820366"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chunhe Song","raw_affiliation_strings":["Chinese Academy of Sciences, Shenyang Institute of Automation, Shenyang, China","Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, China"],"raw_orcid":"https://orcid.org/0000-0001-8392-1777","affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences, Shenyang Institute of Automation, Shenyang, China","institution_ids":["https://openalex.org/I142078773","https://openalex.org/I19820366"]},{"raw_affiliation_string":"Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, China","institution_ids":["https://openalex.org/I142078773","https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.30882429,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"13","issue":null,"first_page":"179449","last_page":"179462"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11609","display_name":"Geophysical Methods and Applications","score":0.9873999953269958,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean 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/T11609","display_name":"Geophysical Methods and Applications","score":0.9873999953269958,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/minimum-bounding-box","display_name":"Minimum bounding box","score":0.683899998664856},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.6565999984741211},{"id":"https://openalex.org/keywords/image-stitching","display_name":"Image stitching","score":0.632099986076355},{"id":"https://openalex.org/keywords/overhead","display_name":"Overhead (engineering)","score":0.5146999955177307},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.5012000203132629},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.48080000281333923},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.4758000075817108},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.46709999442100525},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.4611000120639801}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7878999710083008},{"id":"https://openalex.org/C147037132","wikidata":"https://www.wikidata.org/wiki/Q6865426","display_name":"Minimum bounding box","level":3,"score":0.683899998664856},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.6565999984741211},{"id":"https://openalex.org/C29081049","wikidata":"https://www.wikidata.org/wiki/Q1364242","display_name":"Image stitching","level":2,"score":0.632099986076355},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.5146999955177307},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.5012000203132629},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.48080000281333923},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.4758000075817108},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.46709999442100525},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.4611000120639801},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45590001344680786},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.43639999628067017},{"id":"https://openalex.org/C63584917","wikidata":"https://www.wikidata.org/wiki/Q333286","display_name":"Bounding overwatch","level":2,"score":0.4253000020980835},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4032999873161316},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.3917999863624573},{"id":"https://openalex.org/C212702","wikidata":"https://www.wikidata.org/wiki/Q178150","display_name":"Insulator (electricity)","level":2,"score":0.37310001254081726},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.3564999997615814},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.34700000286102295},{"id":"https://openalex.org/C2988416141","wikidata":"https://www.wikidata.org/wiki/Q6031139","display_name":"Information loss","level":2,"score":0.33070001006126404},{"id":"https://openalex.org/C192328126","wikidata":"https://www.wikidata.org/wiki/Q4514647","display_name":"Schematic","level":2,"score":0.323199987411499},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.3212999999523163},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3165999948978424},{"id":"https://openalex.org/C761482","wikidata":"https://www.wikidata.org/wiki/Q118093","display_name":"Transmission (telecommunications)","level":2,"score":0.3093000054359436},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.3003000020980835},{"id":"https://openalex.org/C108882727","wikidata":"https://www.wikidata.org/wiki/Q2991685","display_name":"Solid modeling","level":2,"score":0.29739999771118164},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.2782000005245209},{"id":"https://openalex.org/C101814296","wikidata":"https://www.wikidata.org/wiki/Q5439685","display_name":"Feature model","level":3,"score":0.266400009393692},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.26249998807907104},{"id":"https://openalex.org/C134652429","wikidata":"https://www.wikidata.org/wiki/Q1052698","display_name":"Jitter","level":2,"score":0.25540000200271606},{"id":"https://openalex.org/C172707124","wikidata":"https://www.wikidata.org/wiki/Q423488","display_name":"Actuator","level":2,"score":0.2535000145435333}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2025.3621143","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3621143","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:c5ca7e202c0c4aa597365c46ae146bef","is_oa":true,"landing_page_url":"https://doaj.org/article/c5ca7e202c0c4aa597365c46ae146bef","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 13, Pp 179449-179462 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2025.3621143","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3621143","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1057847617","display_name":null,"funder_award_id":"2025-BS-0297","funder_id":"https://openalex.org/F4320334062","funder_display_name":"National Natural Science Foundation of China-Liaoning Joint Fund"},{"id":"https://openalex.org/G3664599294","display_name":null,"funder_award_id":"641LJ212410142147","funder_id":"https://openalex.org/F4320324560","funder_display_name":"Department of Education of Liaoning Province"},{"id":"https://openalex.org/G6512074846","display_name":null,"funder_award_id":"62273337","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6653417028","display_name":null,"funder_award_id":"64062273337","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7904311503","display_name":null,"funder_award_id":"2024YFB4709100","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G8009562038","display_name":null,"funder_award_id":"2025-BS-0297","funder_id":"https://openalex.org/F4320323086","funder_display_name":"Natural Science Foundation of Liaoning Province"},{"id":"https://openalex.org/G8773683672","display_name":null,"funder_award_id":"LJ212410142147","funder_id":"https://openalex.org/F4320335467","funder_display_name":"Natural Science Foundation of Shaanxi Provincial Department of Education"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320323086","display_name":"Natural Science Foundation of Liaoning Province","ror":null},{"id":"https://openalex.org/F4320324560","display_name":"Department of Education of Liaoning Province","ror":"https://ror.org/0022v2454"},{"id":"https://openalex.org/F4320334062","display_name":"National Natural Science Foundation of China-Liaoning Joint Fund","ror":null},{"id":"https://openalex.org/F4320335467","display_name":"Natural Science Foundation of Shaanxi Provincial Department of Education","ror":null},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"This":[0,116,257],"paper":[1],"proposes":[2],"an":[3,161],"innovative":[4],"approach":[5,258],"for":[6,55,227],"detecting":[7],"defects":[8,87],"in":[9,33,50,105,151,203,274],"insulators":[10],"of":[11,44,88,121,134,146,170,189,197,264,278],"overhead":[12],"transmission":[13,280],"lines.":[14],"It":[15],"employs":[16],"a":[17,102,156,183,271],"real-time":[18],"object":[19,107,238],"detector":[20],"(RT-DETR)":[21],"model":[22,178],"named":[23],"RESRTDETR":[24,241],"to":[25,79,83,118,141,165,175,179,193,223,236,244,251],"address":[26,142,194],"the":[27,42,62,69,81,93,109,119,122,127,131,135,143,147,167,177,195,204,232,247,254,262,276],"challenges":[28],"faced":[29],"by":[30],"traditional":[31,51],"methods":[32,211],"multi-object":[34],"scenarios":[35],"and":[36,47,200,218,250],"complex":[37],"backgrounds.":[38],"The":[39],"study":[40],"addressed":[41],"issues":[43,196],"low":[45],"accuracy":[46,263],"missed":[48],"detections":[49],"target":[52],"detection":[53,239,267],"algorithms":[54],"insulator":[56,99,206,265],"defect":[57,207,266],"detection.":[58],"First,":[59],"we":[60,154],"propose":[61],"ResRepNet":[63],"feature":[64,76],"extraction":[65,77],"network,":[66],"which":[67],"integrates":[68],"RepVGG":[70],"reparameterized":[71],"structure":[72],"into":[73],"existing":[74,237],"backbone":[75],"networks":[78],"enhance":[80,166],"ability":[82],"extract":[84],"features":[85,100],"from":[86,95],"varying":[89],"sizes.":[90],"Secondly,":[91],"since":[92],"information":[94],"neighboring":[96],"channels":[97],"surrounding":[98],"plays":[101,270],"crucial":[103,272],"role":[104,273],"small":[106],"detection,":[108],"ECA":[110],"cross-channel":[111],"attention":[112],"mechanism":[113],"is":[114],"introduced.":[115],"leads":[117],"proposal":[120],"CA-CCFM":[123],"module":[124],"based":[125,212],"on":[126,213,246,253],"CCFM":[128],"module,":[129],"enhancing":[130],"expressive":[132],"capability":[133],"head":[136],"layer\u2019s":[137],"output":[138],"features.":[139],"Furthermore,":[140],"inherent":[144],"limitations":[145],"GIOU":[148],"loss":[149,158],"function":[150,159],"spatial":[152],"localization,":[153],"introduce":[155],"SIoU":[157],"incorporating":[160],"angle":[162],"penalty":[163],"term":[164],"geometric":[168,214],"awareness":[169],"bounding":[171],"box":[172],"regression.":[173],"Finally,":[174],"enable":[176],"effectively":[180],"learn":[181],"features,":[182],"standard":[184],"dataset":[185,249],"comprising":[186],"seven":[187],"categories":[188],"samples":[190],"was":[191],"reconstructed":[192],"imbalanced":[198],"distribution":[199],"missing":[201],"annotations":[202],"CID":[205,248],"dataset.":[208,256],"Data":[209],"augmentation":[210],"transformations,":[215,217],"color":[216],"mosaic":[219],"stitching":[220],"were":[221],"employed":[222],"provide":[224],"data":[225],"support":[226],"subsequent":[228],"experiments.":[229],"Experiments":[230],"validated":[231],"model\u2019s":[233],"effectiveness.":[234],"Compared":[235],"methods,":[240],"improves":[242],"mAP@50":[243],"96.4%":[245],"84.2%":[252],"IDDD":[255],"not":[259],"only":[260],"enhances":[261],"but":[268],"also":[269],"maintaining":[275],"safety":[277],"power":[279],"systems,":[281],"carrying":[282],"far-reaching":[283],"implications.":[284]},"counts_by_year":[],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-15T00:00:00"}
