{"id":"https://openalex.org/W4408345965","doi":"https://doi.org/10.1109/icassp49660.2025.10889710","title":"A Scale-Adaptive and Background-Robust Method for Surface Defect Detection","display_name":"A Scale-Adaptive and Background-Robust Method for Surface Defect Detection","publication_year":2025,"publication_date":"2025-03-12","ids":{"openalex":"https://openalex.org/W4408345965","doi":"https://doi.org/10.1109/icassp49660.2025.10889710"},"language":"en","primary_location":{"id":"doi:10.1109/icassp49660.2025.10889710","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49660.2025.10889710","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5035288405","display_name":"Jiahao Dong","orcid":"https://orcid.org/0000-0002-2422-344X"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jiahao Dong","raw_affiliation_strings":["Shenzhen University,Guangdong Artifcial Intelligence and Digital Economy Laboratory(Shenzhen),Shenzhen,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shenzhen University,Guangdong Artifcial Intelligence and Digital Economy Laboratory(Shenzhen),Shenzhen,China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006543710","display_name":"Zuo Zuo","orcid":"https://orcid.org/0009-0003-8251-6966"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zuo Zuo","raw_affiliation_strings":["Xi’an Jiaotong University,College of Artificial Intelligence,Xi’an,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xi’an Jiaotong University,College of Artificial Intelligence,Xi’an,China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004392249","display_name":"Zongze Wu","orcid":"https://orcid.org/0000-0002-0597-1426"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zongze Wu","raw_affiliation_strings":["Shenzhen University,College of Mechatronics and Control Engineering,Shenzhen,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shenzhen University,College of Mechatronics and Control Engineering,Shenzhen,China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5115592099","display_name":"Meiqin Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Meiqin Liu","raw_affiliation_strings":["Xi’an Jiaotong University,College of Artificial Intelligence,Xi’an,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xi’an Jiaotong University,College of Artificial Intelligence,Xi’an,China","institution_ids":["https://openalex.org/I87445476"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5035288405"],"corresponding_institution_ids":["https://openalex.org/I180726961"],"apc_list":null,"apc_paid":null,"fwci":3.2723,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.91121358,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9997000098228455,"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"}},"topics":[{"id":"https://openalex.org/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9997000098228455,"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/T11159","display_name":"Manufacturing Process and Optimization","score":0.9718000292778015,"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/T12549","display_name":"Image and Object Detection Techniques","score":0.9505000114440918,"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/scale","display_name":"Scale (ratio)","score":0.5577142834663391},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.49057596921920776},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3575361967086792},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.16540107131004333}],"concepts":[{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.5577142834663391},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.49057596921920776},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3575361967086792},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.16540107131004333},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp49660.2025.10889710","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49660.2025.10889710","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Climate action","score":0.7099999785423279,"id":"https://metadata.un.org/sdg/13"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W2112796928","https://openalex.org/W2193145675","https://openalex.org/W2618530766","https://openalex.org/W2892880750","https://openalex.org/W2943659362","https://openalex.org/W2944303778","https://openalex.org/W2962721361","https://openalex.org/W2963446712","https://openalex.org/W2963849369","https://openalex.org/W2963857746","https://openalex.org/W2964241181","https://openalex.org/W3028888497","https://openalex.org/W3034745255","https://openalex.org/W3034971973","https://openalex.org/W3035396860","https://openalex.org/W4291653445","https://openalex.org/W4312578543","https://openalex.org/W4361002048","https://openalex.org/W4366381052","https://openalex.org/W4372346423","https://openalex.org/W4386076325","https://openalex.org/W4387917853","https://openalex.org/W4390659789","https://openalex.org/W4392251676","https://openalex.org/W4392930642","https://openalex.org/W4394896873","https://openalex.org/W4401024015","https://openalex.org/W6637373629","https://openalex.org/W6762233531","https://openalex.org/W6798838024","https://openalex.org/W6843239693","https://openalex.org/W6852703390","https://openalex.org/W6868582632"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"Despite":[0],"deep":[1],"learning-based":[2],"methods":[3],"perform":[4],"remarkably":[5],"well":[6],"in":[7],"surface":[8,18,39],"defect":[9,40],"detection":[10,41],"recently,":[11],"the":[12,70,112,119,134,151],"unpredictable":[13],"shapes":[14],"and":[15,20,55,103,121,136,139],"sizes":[16],"of":[17],"defects":[19],"complicated":[21],"texture":[22],"background":[23],"still":[24],"pose":[25],"enormous":[26],"challenges":[27],"for":[28],"existing":[29],"methods.":[30,153],"To":[31],"address":[32],"these":[33],"problems,":[34],"we":[35,63,92,110,128],"propose":[36,93],"a":[37,56],"novel":[38],"method":[42,145],"based":[43],"on":[44,105,133],"YOLOv5":[45],"that":[46,143],"combines":[47],"multi-branch":[48],"attention":[49],"mechanism,":[50],"multi-scale":[51],"effective":[52],"feature":[53,75],"fusion":[54],"lightweight":[57],"neck":[58,125],"structure,":[59],"dubbed":[60],"SABR-YOLO.":[61],"Firstly,":[62],"embed":[64],"Dual-Branch":[65],"Convolution":[66],"Module":[67],"(DBCM)":[68],"to":[69,73,84,99,124,150],"backbone":[71],"network":[72],"enhance":[74],"representations.":[76],"Secondly,":[77],"Multi-Scale":[78],"Spatial":[79],"Fusion":[80],"(MSSF)":[81],"is":[82],"designed":[83],"fuse":[85],"features":[86,102],"with":[87],"different":[88],"scales":[89],"effectively.":[90],"Thirdly,":[91],"an":[94],"Attention-Based":[95],"Upsampling":[96],"(ABUp)":[97],"module":[98],"capture":[100],"local":[101],"focus":[104],"subtle":[106],"defects.":[107],"In":[108],"addition,":[109],"design":[111],"Context-Aware":[113],"Feature":[114],"Pyramid":[115],"(CAFP)":[116],"by":[117],"applying":[118],"ABUp":[120],"making":[122],"improvements":[123],"structure.":[126],"Finally,":[127],"evaluate":[129],"our":[130,144],"framework":[131],"SABR-YOLO":[132],"NEU-DET":[135],"HRIPCB":[137],"datasets,":[138],"experimental":[140],"results":[141],"show":[142],"achieves":[146],"higher":[147],"accuracy":[148],"compared":[149],"state-of-the-art":[152]},"counts_by_year":[{"year":2025,"cited_by_count":3}],"updated_date":"2026-05-03T08:25:01.440150","created_date":"2025-10-10T00:00:00"}