{"id":"https://openalex.org/W7133541183","doi":"https://doi.org/10.7717/peerj-cs.3626","title":"Boosting Mamba-You Only Look Once (YOLO) with triple-aware enhancement for steel surface defect detection","display_name":"Boosting Mamba-You Only Look Once (YOLO) with triple-aware enhancement for steel surface defect detection","publication_year":2026,"publication_date":"2026-03-04","ids":{"openalex":"https://openalex.org/W7133541183","doi":"https://doi.org/10.7717/peerj-cs.3626"},"language":"en","primary_location":{"id":"doi:10.7717/peerj-cs.3626","is_oa":true,"landing_page_url":"https://doi.org/10.7717/peerj-cs.3626","pdf_url":null,"source":{"id":"https://openalex.org/S4210178049","display_name":"PeerJ Computer Science","issn_l":"2376-5992","issn":["2376-5992"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320104","host_organization_name":"PeerJ, Inc.","host_organization_lineage":["https://openalex.org/P4310320104"],"host_organization_lineage_names":["PeerJ, Inc."],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"PeerJ Computer Science","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.7717/peerj-cs.3626","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5124052591","display_name":"Xue Zhao","orcid":null},"institutions":[{"id":"https://openalex.org/I152269853","display_name":"Qilu University of Technology","ror":"https://ror.org/04hyzq608","country_code":"CN","type":"education","lineage":["https://openalex.org/I152269853"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xue Zhao","raw_affiliation_strings":["Department of Computer and Information Engineering, Qilu Institute of Technology, Jinan, Shandong, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer and Information Engineering, Qilu Institute of Technology, Jinan, Shandong, China","institution_ids":["https://openalex.org/I152269853"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086181101","display_name":"Delanyo Kwame Bensah Kulevome","orcid":"https://orcid.org/0000-0001-5854-0788"},"institutions":[{"id":"https://openalex.org/I152269853","display_name":"Qilu University of Technology","ror":"https://ror.org/04hyzq608","country_code":"CN","type":"education","lineage":["https://openalex.org/I152269853"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Delanyo Kwame Bensah Kulevome","raw_affiliation_strings":["Department of Computer and Information Engineering, Qilu Institute of Technology, Jinan, Shandong, China"],"raw_orcid":"https://orcid.org/0000-0001-5854-0788","affiliations":[{"raw_affiliation_string":"Department of Computer and Information Engineering, Qilu Institute of Technology, Jinan, Shandong, China","institution_ids":["https://openalex.org/I152269853"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5128118183","display_name":"Kai Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I28006308","display_name":"Shandong Normal University","ror":"https://ror.org/01wy3h363","country_code":"CN","type":"education","lineage":["https://openalex.org/I28006308"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kai Zhang","raw_affiliation_strings":["School of Information Science and Engineering, Shandong Normal University, Jinan, Shandong, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Shandong Normal University, Jinan, Shandong, China","institution_ids":["https://openalex.org/I28006308"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Meiling Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I152269853","display_name":"Qilu University of Technology","ror":"https://ror.org/04hyzq608","country_code":"CN","type":"education","lineage":["https://openalex.org/I152269853"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Meiling Wang","raw_affiliation_strings":["Department of Computer and Information Engineering, Qilu Institute of Technology, Jinan, Shandong, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer and Information Engineering, Qilu Institute of Technology, Jinan, Shandong, China","institution_ids":["https://openalex.org/I152269853"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Yiyou Fan","orcid":"https://orcid.org/0009-0006-4225-3358"},"institutions":[{"id":"https://openalex.org/I6902469","display_name":"Brandeis University","ror":"https://ror.org/05abbep66","country_code":"US","type":"education","lineage":["https://openalex.org/I6902469"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yiyou Fan","raw_affiliation_strings":["Department of Mathematics, Brandeis University, Waltham, Massachusetts, United States"],"raw_orcid":"https://orcid.org/0009-0006-4225-3358","affiliations":[{"raw_affiliation_string":"Department of Mathematics, Brandeis University, Waltham, Massachusetts, United States","institution_ids":["https://openalex.org/I6902469"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5066729928","display_name":"Chun\u2010Pin Tseng","orcid":"https://orcid.org/0009-0001-0930-1382"},"institutions":[{"id":"https://openalex.org/I152269853","display_name":"Qilu University of Technology","ror":"https://ror.org/04hyzq608","country_code":"CN","type":"education","lineage":["https://openalex.org/I152269853"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chun-pin Tseng","raw_affiliation_strings":["Department of Civil Engineering, Qilu Institute of Technology, Jinan, Shandong, China"],"raw_orcid":"https://orcid.org/0009-0001-0930-1382","affiliations":[{"raw_affiliation_string":"Department of Civil Engineering, Qilu Institute of Technology, Jinan, Shandong, China","institution_ids":["https://openalex.org/I152269853"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1395,"currency":"USD","value_usd":1395},"apc_paid":{"value":1395,"currency":"USD","value_usd":1395},"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.21124001,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"12","issue":null,"first_page":"e3626","last_page":"e3626"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.5963000059127808,"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":0.5963000059127808,"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":0.21619999408721924,"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/T11606","display_name":"Infrastructure Maintenance and Monitoring","score":0.0414000004529953,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural 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/discriminative-model","display_name":"Discriminative model","score":0.6092000007629395},{"id":"https://openalex.org/keywords/boosting","display_name":"Boosting (machine learning)","score":0.5746999979019165},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.5418999791145325},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5171999931335449},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.491100013256073},{"id":"https://openalex.org/keywords/concatenation","display_name":"Concatenation (mathematics)","score":0.45239999890327454},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.4325999915599823},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.3630000054836273}],"concepts":[{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.6092000007629395},{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.5746999979019165},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5726000070571899},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5541999936103821},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.5418999791145325},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5171999931335449},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.491100013256073},{"id":"https://openalex.org/C87619178","wikidata":"https://www.wikidata.org/wiki/Q126002","display_name":"Concatenation (mathematics)","level":2,"score":0.45239999890327454},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.4325999915599823},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3725000023841858},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.3630000054836273},{"id":"https://openalex.org/C4069607","wikidata":"https://www.wikidata.org/wiki/Q868732","display_name":"Aliasing","level":3,"score":0.36239999532699585},{"id":"https://openalex.org/C142575187","wikidata":"https://www.wikidata.org/wiki/Q3358290","display_name":"Pyramid (geometry)","level":2,"score":0.36149999499320984},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.3580999970436096},{"id":"https://openalex.org/C152124472","wikidata":"https://www.wikidata.org/wiki/Q1204361","display_name":"Redundancy (engineering)","level":2,"score":0.3538999855518341},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.3531999886035919},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.35269999504089355},{"id":"https://openalex.org/C99679407","wikidata":"https://www.wikidata.org/wiki/Q56761637","display_name":"Substructure","level":2,"score":0.3443000018596649},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.32989999651908875},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.3075000047683716},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.28630000352859497},{"id":"https://openalex.org/C2780423554","wikidata":"https://www.wikidata.org/wiki/Q766198","display_name":"Haar wavelet","level":5,"score":0.27070000767707825},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.26420000195503235},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2612000107765198},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2581999897956848},{"id":"https://openalex.org/C2776799497","wikidata":"https://www.wikidata.org/wiki/Q484298","display_name":"Surface (topology)","level":2,"score":0.25440001487731934}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.7717/peerj-cs.3626","is_oa":true,"landing_page_url":"https://doi.org/10.7717/peerj-cs.3626","pdf_url":null,"source":{"id":"https://openalex.org/S4210178049","display_name":"PeerJ Computer Science","issn_l":"2376-5992","issn":["2376-5992"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320104","host_organization_name":"PeerJ, Inc.","host_organization_lineage":["https://openalex.org/P4310320104"],"host_organization_lineage_names":["PeerJ, Inc."],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"PeerJ Computer Science","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:6ee6b05801484499abd3799dc90859b6","is_oa":true,"landing_page_url":"https://doaj.org/article/6ee6b05801484499abd3799dc90859b6","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":"PeerJ Computer Science, Vol 12, p e3626 (2026)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.7717/peerj-cs.3626","is_oa":true,"landing_page_url":"https://doi.org/10.7717/peerj-cs.3626","pdf_url":null,"source":{"id":"https://openalex.org/S4210178049","display_name":"PeerJ Computer Science","issn_l":"2376-5992","issn":["2376-5992"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320104","host_organization_name":"PeerJ, Inc.","host_organization_lineage":["https://openalex.org/P4310320104"],"host_organization_lineage_names":["PeerJ, Inc."],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"PeerJ Computer Science","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":58,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W2752782242","https://openalex.org/W2910333673","https://openalex.org/W4206634018","https://openalex.org/W4210598935","https://openalex.org/W4214828690","https://openalex.org/W4309703210","https://openalex.org/W4311878297","https://openalex.org/W4316039570","https://openalex.org/W4317669908","https://openalex.org/W4317860954","https://openalex.org/W4322733148","https://openalex.org/W4353077758","https://openalex.org/W4362707005","https://openalex.org/W4376170979","https://openalex.org/W4381849166","https://openalex.org/W4384080166","https://openalex.org/W4384404785","https://openalex.org/W4384781089","https://openalex.org/W4385767366","https://openalex.org/W4386108434","https://openalex.org/W4387125416","https://openalex.org/W4387807161","https://openalex.org/W4389049594","https://openalex.org/W4390107948","https://openalex.org/W4390489077","https://openalex.org/W4390658399","https://openalex.org/W4391047432","https://openalex.org/W4391805449","https://openalex.org/W4392244943","https://openalex.org/W4392251676","https://openalex.org/W4392543763","https://openalex.org/W4392811632","https://openalex.org/W4393376891","https://openalex.org/W4394930757","https://openalex.org/W4395063238","https://openalex.org/W4396753390","https://openalex.org/W4396821501","https://openalex.org/W4398810114","https://openalex.org/W4399377851","https://openalex.org/W4399992735","https://openalex.org/W4401611034","https://openalex.org/W4402568614","https://openalex.org/W4403919744","https://openalex.org/W4404132945","https://openalex.org/W4405335765","https://openalex.org/W4405743638","https://openalex.org/W4407748921","https://openalex.org/W4407802678","https://openalex.org/W4408693727","https://openalex.org/W4413094666","https://openalex.org/W4413401209","https://openalex.org/W4414317095","https://openalex.org/W4415186708","https://openalex.org/W4415255065","https://openalex.org/W4415638780","https://openalex.org/W4415890404","https://openalex.org/W6884637092"],"related_works":[],"abstract_inverted_index":{"Accurate":[0],"and":[1,13,28,34,73,137,154,158,171,224,232],"efficient":[2],"surface":[3,245],"defect":[4,32,56,78,105,169,246],"detection":[5,247],"is":[6,83,131,183],"crucial":[7],"for":[8,54,115,185,243],"ensuring":[9],"the":[10,51,59,75,81,124,211,218,237,240],"structural":[11],"integrity":[12],"quality":[14],"of":[15,50,77,208,239],"industrial":[16,244],"steel":[17,55],"products.":[18],"However,":[19],"existing":[20],"detectors":[21],"still":[22],"struggle":[23],"with":[24,85,108],"sub-pixel,":[25],"low-contrast":[26],"defects":[27],"extreme":[29,135],"variations":[30],"in":[31],"scale":[33,136,170],"shape.":[35],"To":[36],"address":[37],"these":[38],"challenges,":[39],"we":[40],"propose":[41],"TriA-Mamba-You":[42],"Only":[43],"Look":[44],"Once":[45],"(YOLO),":[46],"a":[47,65,86,92,109,126,142,175,203,226],"triple-awareness":[48],"enhancement":[49,88,129],"Mamba-YOLO":[52],"framework":[53],"detection.":[57],"First,":[58],"input":[60],"samples":[61],"are":[62],"processed":[63],"using":[64,179],"discrete":[66],"wavelet":[67],"transform,":[68],"which":[69,90],"reduces":[70],"background":[71],"noise":[72],"enhances":[74],"representation":[76],"features.":[79],"Next,":[80],"backbone":[82],"enhanced":[84],"micro-feature-aware":[87],"block,":[89],"comprises":[91],"Smooth-Mix":[93],"Focus":[94],"Stem":[95],"(FS)":[96],"block":[97,114,149,164],"to":[98,133,150,165,168,193],"minimize":[99],"aliasing":[100],"artifacts":[101],"while":[102],"preserving":[103],"critical":[104],"features,":[106],"combined":[107],"Selective":[110],"Fusion":[111],"Attention":[112],"(SF-Att)":[113],"refinement":[116,147],"by":[117,215],"selectively":[118],"emphasizing":[119],"discriminative":[120],"micro-scale":[121],"patterns.":[122],"Within":[123],"neck,":[125],"context-aware":[127],"feature":[128,146,187],"module":[130],"implemented":[132],"tackle":[134],"shape":[138],"variance.":[139],"It":[140],"utilizes":[141],"receptive-field":[143],"lightweight":[144],"spatio-channel":[145],"(RLSC-FR)":[148],"optimize":[151],"local":[152],"structure":[153],"receptive":[155],"field":[156],"characteristics,":[157],"an":[159],"Attention-Augmented":[160],"Visual":[161],"State-Space":[162],"(AA-VSS)":[163],"dynamically":[166,189],"adapt":[167],"morphological":[172],"variations.":[173],"Finally,":[174],"path-importance-aware":[176],"fusion":[177],"module,":[178],"Norm-Weighted":[180],"concatenation":[181],"(NW-Concat),":[182],"developed":[184],"multi-path":[186],"fusion,":[188],"adjusting":[190],"contribution":[191],"weights":[192],"ensure":[194],"balanced":[195],"aggregation.":[196],"Experimental":[197],"results":[198,235],"show":[199],"that":[200],"TriA-Mamba-YOLO":[201],"achieves":[202,225],"mean":[204],"average":[205],"precision":[206],"(mAP)":[207],"81.3%,":[209],"surpassing":[210],"original":[212],"Mamba":[213],"YOLO":[214],"5.2%":[216],"on":[217],"Northeast":[219],"University-Defect":[220],"Detection":[221],"(NEU-DET)":[222],"dataset,":[223],"balance":[227],"between":[228],"accuracy,":[229],"computational":[230],"efficiency,":[231],"robustness.":[233],"These":[234],"highlight":[236],"effectiveness":[238],"proposed":[241],"approach":[242],"applications.":[248]},"counts_by_year":[],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2026-03-05T00:00:00"}