{"id":"https://openalex.org/W4416250285","doi":"https://doi.org/10.1109/ijcnn64981.2025.11227633","title":"MAF-DETR: Defect Detection with Multi-Scale Adaptive Feature Fusion","display_name":"MAF-DETR: Defect Detection with Multi-Scale Adaptive Feature Fusion","publication_year":2025,"publication_date":"2025-06-30","ids":{"openalex":"https://openalex.org/W4416250285","doi":"https://doi.org/10.1109/ijcnn64981.2025.11227633"},"language":null,"primary_location":{"id":"doi:10.1109/ijcnn64981.2025.11227633","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn64981.2025.11227633","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},"type":"article","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/A5100460150","display_name":"Chao Zhang","orcid":"https://orcid.org/0000-0002-1922-4130"},"institutions":[{"id":"https://openalex.org/I55654194","display_name":"Inner Mongolia University of Technology","ror":"https://ror.org/05564e019","country_code":"CN","type":"education","lineage":["https://openalex.org/I55654194"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Chao Zhang","raw_affiliation_strings":["Inner Mongolia University of Technology,School of Information Engineering,Hohhot,China"],"affiliations":[{"raw_affiliation_string":"Inner Mongolia University of Technology,School of Information Engineering,Hohhot,China","institution_ids":["https://openalex.org/I55654194"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073453057","display_name":"Wei Wu","orcid":"https://orcid.org/0000-0002-1772-3841"},"institutions":[{"id":"https://openalex.org/I55654194","display_name":"Inner Mongolia University of Technology","ror":"https://ror.org/05564e019","country_code":"CN","type":"education","lineage":["https://openalex.org/I55654194"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenhong Wu","raw_affiliation_strings":["Inner Mongolia University of Technology,School of Information Engineering,Hohhot,China"],"affiliations":[{"raw_affiliation_string":"Inner Mongolia University of Technology,School of Information Engineering,Hohhot,China","institution_ids":["https://openalex.org/I55654194"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101909579","display_name":"Haijun Niu","orcid":"https://orcid.org/0000-0001-8891-6846"},"institutions":[{"id":"https://openalex.org/I4210102494","display_name":"Inner Mongolia Electric Power Survey & Design Institute (China)","ror":"https://ror.org/01cg3n190","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210102494"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hengmao Niu","raw_affiliation_strings":["Inner Mongolia Technical College of Construction,School of Civil Engineering and Surveying,Hohhot,China"],"affiliations":[{"raw_affiliation_string":"Inner Mongolia Technical College of Construction,School of Civil Engineering and Surveying,Hohhot,China","institution_ids":["https://openalex.org/I4210102494"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075164818","display_name":"Shi Bao","orcid":"https://orcid.org/0000-0002-1107-5679"},"institutions":[{"id":"https://openalex.org/I55654194","display_name":"Inner Mongolia University of Technology","ror":"https://ror.org/05564e019","country_code":"CN","type":"education","lineage":["https://openalex.org/I55654194"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bao Shi","raw_affiliation_strings":["Inner Mongolia University of Technology,School of Information Engineering,Hohhot,China"],"affiliations":[{"raw_affiliation_string":"Inner Mongolia University of Technology,School of Information Engineering,Hohhot,China","institution_ids":["https://openalex.org/I55654194"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101137547","display_name":"Nier Wu","orcid":"https://orcid.org/0009-0006-2521-4058"},"institutions":[{"id":"https://openalex.org/I55654194","display_name":"Inner Mongolia University of Technology","ror":"https://ror.org/05564e019","country_code":"CN","type":"education","lineage":["https://openalex.org/I55654194"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Nier Wu","raw_affiliation_strings":["Inner Mongolia University of Technology,School of Information Engineering,Hohhot,China"],"affiliations":[{"raw_affiliation_string":"Inner Mongolia University of Technology,School of Information Engineering,Hohhot,China","institution_ids":["https://openalex.org/I55654194"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100400130","display_name":"Shuo Wang","orcid":"https://orcid.org/0000-0001-7851-3824"},"institutions":[{"id":"https://openalex.org/I55654194","display_name":"Inner Mongolia University of Technology","ror":"https://ror.org/05564e019","country_code":"CN","type":"education","lineage":["https://openalex.org/I55654194"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuo Wang","raw_affiliation_strings":["Inner Mongolia University of Technology,School of Information Engineering,Hohhot,China"],"affiliations":[{"raw_affiliation_string":"Inner Mongolia University of Technology,School of Information Engineering,Hohhot,China","institution_ids":["https://openalex.org/I55654194"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5100460150"],"corresponding_institution_ids":["https://openalex.org/I55654194"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.34335422,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.7121000289916992,"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"}},"topics":[{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.7121000289916992,"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":0.15449999272823334,"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"}},{"id":"https://openalex.org/T11605","display_name":"Visual Attention and Saliency Detection","score":0.01850000023841858,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.7235999703407288},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6740000247955322},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.652400016784668},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.5795000195503235},{"id":"https://openalex.org/keywords/false-positive-paradox","display_name":"False positive paradox","score":0.572700023651123},{"id":"https://openalex.org/keywords/feature-model","display_name":"Feature model","score":0.36309999227523804},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.3564000129699707},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.3395000100135803}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7483000159263611},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7459999918937683},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.7235999703407288},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6740000247955322},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.652400016784668},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.5795000195503235},{"id":"https://openalex.org/C64869954","wikidata":"https://www.wikidata.org/wiki/Q1859747","display_name":"False positive paradox","level":2,"score":0.572700023651123},{"id":"https://openalex.org/C101814296","wikidata":"https://www.wikidata.org/wiki/Q5439685","display_name":"Feature model","level":3,"score":0.36309999227523804},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.3564000129699707},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.3395000100135803},{"id":"https://openalex.org/C126422989","wikidata":"https://www.wikidata.org/wiki/Q93586","display_name":"Feature detection (computer vision)","level":4,"score":0.3328999876976013},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.3208000063896179},{"id":"https://openalex.org/C2781122975","wikidata":"https://www.wikidata.org/wiki/Q16928266","display_name":"Semantic feature","level":2,"score":0.31439998745918274},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.31310001015663147},{"id":"https://openalex.org/C149364088","wikidata":"https://www.wikidata.org/wiki/Q185917","display_name":"Translation (biology)","level":4,"score":0.310699999332428},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.3061999976634979},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.30160000920295715},{"id":"https://openalex.org/C2983787585","wikidata":"https://www.wikidata.org/wiki/Q93586","display_name":"Feature matching","level":3,"score":0.2831000089645386},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.2815000116825104},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.27970001101493835},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.2752000093460083},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2648000121116638},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.25940001010894775},{"id":"https://openalex.org/C132094186","wikidata":"https://www.wikidata.org/wiki/Q641585","display_name":"Clutter","level":3,"score":0.2533000111579895}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn64981.2025.11227633","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn64981.2025.11227633","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322868","display_name":"Natural Science Foundation of Inner Mongolia","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W2102605133","https://openalex.org/W2136132422","https://openalex.org/W2768149277","https://openalex.org/W2923486253","https://openalex.org/W2963037989","https://openalex.org/W4213102919","https://openalex.org/W4289752563","https://openalex.org/W4310664768","https://openalex.org/W4380538128","https://openalex.org/W4386076325","https://openalex.org/W4387052345","https://openalex.org/W4389724159","https://openalex.org/W4393196190","https://openalex.org/W4399477732","https://openalex.org/W4401288798","https://openalex.org/W4402353712","https://openalex.org/W4402754006"],"related_works":[],"abstract_inverted_index":{"In":[0],"recent":[1],"years,":[2],"deep":[3],"learning":[4],"is":[5],"widely":[6],"applied":[7],"in":[8],"surface":[9],"defect":[10,126],"detection.":[11],"However,":[12],"there":[13],"are":[14],"still":[15],"challenges":[16],"with":[17,94],"low":[18],"detection":[19,42],"efficiency,":[20],"often":[21],"leading":[22],"to":[23,56,74,86],"false":[24,27],"positives":[25],"and":[26,38,61,80,112,118,134,146,152,158],"negatives.":[28],"To":[29],"address":[30],"these":[31],"issues,":[32],"we":[33,66,91],"propose":[34],"a":[35,68],"multi-scale":[36,58],"convolution":[37],"multi-dimensional":[39],"feature":[40,59,81,100],"fusion":[41],"model":[43,107,131,141],"(MAF-DETR)":[44],"based":[45],"on":[46,121],"RT-DETR.":[47],"We":[48],"designed":[49],"the":[50,76,84,95,122,129,137,140,161],"Dilated":[51],"Gated":[52],"Extraction":[53],"Module":[54,72],"(DGEM)":[55],"enhance":[57],"extraction":[60],"global":[62],"information":[63],"awareness.":[64],"Additionally,":[65],"developed":[67],"Dynamic":[69],"Feature":[70],"Aggregation":[71],"(DFAM)":[73],"improve":[75],"correlation":[77],"between":[78],"semantic":[79],"information,":[82],"enhancing":[83],"ability":[85],"detect":[87],"micro-texture":[88],"variations.":[89],"Furthermore,":[90],"optimized":[92],"RepC3":[93],"C3K2":[96],"module":[97],"for":[98],"better":[99],"fusion.":[101],"Experimental":[102],"results":[103],"demonstrate":[104],"that":[105],"our":[106],"achieves":[108],"mAP<inf":[109,113,143,147],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[110,114,144,148],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">50</inf>":[111,145],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">50\u221295</inf>":[115,149],"of":[116,150,156],"82%":[117],"37.4%":[119],"respectively":[120],"RoboFlow":[123],"wire":[124],"rope":[125],"dataset,":[127,139],"surpassing":[128],"baseline":[130,162],"by":[132],"4.4%":[133],"4.5%.":[135],"On":[136],"NEU-DET":[138],"attains":[142],"74.1%":[151],"41.6%,":[153],"demonstrating":[154],"improvements":[155],"5%":[157],"2.8%":[159],"over":[160],"model.":[163]},"counts_by_year":[],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-11-14T00:00:00"}
