{"id":"https://openalex.org/W4400745636","doi":"https://doi.org/10.1007/s40747-024-01559-0","title":"PD-DETR: towards efficient parallel hybrid matching with transformer for photovoltaic cell defects detection","display_name":"PD-DETR: towards efficient parallel hybrid matching with transformer for photovoltaic cell defects detection","publication_year":2024,"publication_date":"2024-07-17","ids":{"openalex":"https://openalex.org/W4400745636","doi":"https://doi.org/10.1007/s40747-024-01559-0"},"language":"en","primary_location":{"id":"doi:10.1007/s40747-024-01559-0","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s40747-024-01559-0","pdf_url":"https://link.springer.com/content/pdf/10.1007/s40747-024-01559-0.pdf","source":{"id":"https://openalex.org/S3035462843","display_name":"Complex & Intelligent Systems","issn_l":"2198-6053","issn":["2198-6053","2199-4536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complex &amp; Intelligent Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://link.springer.com/content/pdf/10.1007/s40747-024-01559-0.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5005817259","display_name":"Langyue Zhao","orcid":null},"institutions":[{"id":"https://openalex.org/I9842412","display_name":"Nanjing University of Aeronautics and Astronautics","ror":"https://ror.org/01scyh794","country_code":"CN","type":"education","lineage":["https://openalex.org/I9842412"]},{"id":"https://openalex.org/I3133090473","display_name":"Weinan Normal University","ror":"https://ror.org/00n2kc060","country_code":"CN","type":"education","lineage":["https://openalex.org/I3133090473"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Langyue Zhao","raw_affiliation_strings":["College of Electronic and Information Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, Jiangsu, 210016, China","School of computer science and technology, Weinan Normal University, Weinan, Shaanxi, China"],"affiliations":[{"raw_affiliation_string":"College of Electronic and Information Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, Jiangsu, 210016, China","institution_ids":["https://openalex.org/I9842412"]},{"raw_affiliation_string":"School of computer science and technology, Weinan Normal University, Weinan, Shaanxi, China","institution_ids":["https://openalex.org/I3133090473"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103103595","display_name":"Yiquan Wu","orcid":"https://orcid.org/0009-0002-9688-8528"},"institutions":[{"id":"https://openalex.org/I9842412","display_name":"Nanjing University of Aeronautics and Astronautics","ror":"https://ror.org/01scyh794","country_code":"CN","type":"education","lineage":["https://openalex.org/I9842412"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yiquan Wu","raw_affiliation_strings":["College of Electronic and Information Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, Jiangsu, 210016, China"],"affiliations":[{"raw_affiliation_string":"College of Electronic and Information Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, Jiangsu, 210016, China","institution_ids":["https://openalex.org/I9842412"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101971645","display_name":"Yubin Yuan","orcid":"https://orcid.org/0000-0002-4604-7942"},"institutions":[{"id":"https://openalex.org/I9842412","display_name":"Nanjing University of Aeronautics and Astronautics","ror":"https://ror.org/01scyh794","country_code":"CN","type":"education","lineage":["https://openalex.org/I9842412"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yubin Yuan","raw_affiliation_strings":["College of Electronic and Information Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, Jiangsu, 210016, China"],"affiliations":[{"raw_affiliation_string":"College of Electronic and Information Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, Jiangsu, 210016, China","institution_ids":["https://openalex.org/I9842412"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5005817259"],"corresponding_institution_ids":["https://openalex.org/I3133090473","https://openalex.org/I9842412"],"apc_list":{"value":1320,"currency":"GBP","value_usd":1619},"apc_paid":{"value":1320,"currency":"GBP","value_usd":1619},"fwci":1.6022,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.82341971,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"10","issue":"6","first_page":"7421","last_page":"7434"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10468","display_name":"Photovoltaic System Optimization Techniques","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/2105","display_name":"Renewable Energy, Sustainability and the Environment"},"field":{"id":"https://openalex.org/fields/21","display_name":"Energy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10468","display_name":"Photovoltaic System Optimization Techniques","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/2105","display_name":"Renewable Energy, Sustainability and the Environment"},"field":{"id":"https://openalex.org/fields/21","display_name":"Energy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9983000159263611,"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/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9919999837875366,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing 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/computer-science","display_name":"Computer science","score":0.6853570342063904},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5015783309936523},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.4910471439361572},{"id":"https://openalex.org/keywords/photovoltaic-system","display_name":"Photovoltaic system","score":0.47839248180389404},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.4737188220024109},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4658993184566498},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4349253177642822},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.39992424845695496},{"id":"https://openalex.org/keywords/voltage","display_name":"Voltage","score":0.21229851245880127},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.12350708246231079}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6853570342063904},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5015783309936523},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.4910471439361572},{"id":"https://openalex.org/C41291067","wikidata":"https://www.wikidata.org/wiki/Q1897785","display_name":"Photovoltaic system","level":2,"score":0.47839248180389404},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.4737188220024109},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4658993184566498},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4349253177642822},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.39992424845695496},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.21229851245880127},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.12350708246231079},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/s40747-024-01559-0","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s40747-024-01559-0","pdf_url":"https://link.springer.com/content/pdf/10.1007/s40747-024-01559-0.pdf","source":{"id":"https://openalex.org/S3035462843","display_name":"Complex & Intelligent Systems","issn_l":"2198-6053","issn":["2198-6053","2199-4536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complex &amp; Intelligent Systems","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:71d537335afc4468b5fb2627183253c4","is_oa":true,"landing_page_url":"https://doaj.org/article/71d537335afc4468b5fb2627183253c4","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Complex & Intelligent Systems, Vol 10, Iss 6, Pp 7421-7434 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1007/s40747-024-01559-0","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s40747-024-01559-0","pdf_url":"https://link.springer.com/content/pdf/10.1007/s40747-024-01559-0.pdf","source":{"id":"https://openalex.org/S3035462843","display_name":"Complex & Intelligent Systems","issn_l":"2198-6053","issn":["2198-6053","2199-4536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complex &amp; Intelligent Systems","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","score":0.6399999856948853,"display_name":"Affordable and clean energy"}],"awards":[{"id":"https://openalex.org/G2744459430","display_name":null,"funder_award_id":"61573183","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8402987708","display_name":null,"funder_award_id":"2024JC-YBQN-0695","funder_id":"https://openalex.org/F4320324173","funder_display_name":"Natural Science Foundation of Shaanxi Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320324173","display_name":"Natural Science Foundation of Shaanxi Province","ror":null}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4400745636.pdf"},"referenced_works_count":30,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1536680647","https://openalex.org/W2071448691","https://openalex.org/W2963351448","https://openalex.org/W2980326480","https://openalex.org/W2982770724","https://openalex.org/W3022265541","https://openalex.org/W3034539499","https://openalex.org/W3035396860","https://openalex.org/W3040739812","https://openalex.org/W3096609285","https://openalex.org/W3108849448","https://openalex.org/W3112490813","https://openalex.org/W3138516171","https://openalex.org/W3154872378","https://openalex.org/W3158926370","https://openalex.org/W3171162369","https://openalex.org/W3199093552","https://openalex.org/W3203020760","https://openalex.org/W4214627427","https://openalex.org/W4225888491","https://openalex.org/W4312312588","https://openalex.org/W4382051552","https://openalex.org/W4386065740","https://openalex.org/W4390578088","https://openalex.org/W4392303344","https://openalex.org/W6600042225","https://openalex.org/W6600109629","https://openalex.org/W6600194071","https://openalex.org/W6600281463"],"related_works":["https://openalex.org/W2386968573","https://openalex.org/W2395064349","https://openalex.org/W2034374297","https://openalex.org/W4390516098","https://openalex.org/W2382628689","https://openalex.org/W2766130412","https://openalex.org/W2526730640","https://openalex.org/W2181948922","https://openalex.org/W2351171996","https://openalex.org/W2384362569"],"abstract_inverted_index":{"Abstract":[0],"Defect":[1],"detection":[2,111,217,233],"for":[3,36,50],"photovoltaic":[4],"(PV)":[5],"cell":[6,76,86],"images":[7],"is":[8,46,91,172,247],"a":[9,47,65,81,115,121,133],"challenging":[10],"task":[11],"due":[12],"to":[13,56,73,140,164,188],"the":[14,18,22,25,84,95,127,142,162,175,189,203,207,216,221,225,241,251,262],"small":[15],"size":[16],"of":[17,24,97,105,161,177,202,210,244],"defect":[19,190],"features":[20,129,152],"and":[21,38,79,125,136,146,157,205],"complexity":[23],"background":[26,170],"characteristics.":[27],"Modern":[28],"detectors":[29],"rely":[30],"mostly":[31],"on":[32,39,261],"proxy":[33],"learning":[34],"objectives":[35],"prediction":[37],"manual":[40],"post-processing":[41],"components.":[42],"One-to-one":[43],"set":[44,194,254],"matching":[45,227],"critical":[48],"design":[49],"DEtection":[51,88],"TRansformer":[52],"(DETR)":[53],"in":[54,199],"order":[55,72],"provide":[57],"end-to-end":[58,242],"capability,":[59],"so":[60],"that":[61],"does":[62],"not":[63],"need":[64],"hand-crafted":[66],"Efficient":[67],"Non-Maximum":[68],"Suppression":[69],"NMS.":[70],"In":[71],"detect":[74,165],"PV":[75,85],"defects":[77,167],"faster":[78],"better,":[80],"technology":[82],"called":[83],"Defects":[87],"Transformer":[89],"(PD-DETR)":[90],"proposed.":[92],"To":[93,119,239],"address":[94],"issue":[96],"slow":[98],"convergence":[99],"caused":[100],"by":[101,174,219],"DETR\u2019s":[102],"direct":[103],"translation":[104],"image":[106,128],"feature":[107,117,145],"mapping":[108],"into":[109],"target":[110,191],"results,":[112],"we":[113,214],"created":[114],"hybrid":[116],"module.":[118],"achieve":[120],"balance":[122],"between":[123],"performance":[124],"computation,":[126],"are":[130,153],"passed":[131],"through":[132],"scoring":[134],"network":[135],"dilated":[137],"convolution,":[138],"respectively,":[139],"obtain":[141],"foreground":[143],"fine":[144],"contour":[147],"high-frequency":[148,178],"feature.":[149],"The":[150,159],"two":[151,230],"then":[154],"adaptively":[155],"intercepted":[156],"fused.":[158],"capacity":[160],"model":[163,257],"small-scale":[166],"under":[168],"complex":[169],"conditions":[171],"improved":[173],"addition":[176],"information.":[179],"Furthermore,":[180],"too":[181],"few":[182],"positive":[183],"queries":[184],"will":[185,197],"be":[186],"assigned":[187],"via":[192],"one-to-one":[193,253],"matching,":[195],"which":[196],"result":[198],"sparse":[200],"supervision":[201],"encoder":[204],"impair":[206],"decoder\u2019s":[208],"ability":[209],"attention":[211],"learning.":[212],"Consequently,":[213],"enhanced":[215],"effect":[218],"combining":[220],"original":[222,252],"DETR":[223],"with":[224],"one-to-many":[226],"branch.":[228],"Specifically,":[229],"Faster":[231],"RCNN":[232],"heads":[234],"were":[235],"added":[236],"during":[237],"training.":[238],"maintain":[240],"benefits":[243],"DETR,":[245],"inference":[246],"still":[248],"performed":[249],"using":[250],"matching.":[255],"Our":[256],"implements":[258],"64.7%":[259],"AP":[260],"PVEL-AD":[263],"dataset.":[264]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":11},{"year":2024,"cited_by_count":2}],"updated_date":"2026-04-12T07:58:50.170612","created_date":"2025-10-10T00:00:00"}
