{"id":"https://openalex.org/W2991593724","doi":"https://doi.org/10.1109/avss.2019.8909834","title":"High Efficient Single-stage Steel Surface Defect Detection","display_name":"High Efficient Single-stage Steel Surface Defect Detection","publication_year":2019,"publication_date":"2019-09-01","ids":{"openalex":"https://openalex.org/W2991593724","doi":"https://doi.org/10.1109/avss.2019.8909834","mag":"2991593724"},"language":"en","primary_location":{"id":"doi:10.1109/avss.2019.8909834","is_oa":false,"landing_page_url":"https://doi.org/10.1109/avss.2019.8909834","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 16th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS)","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/A5006920248","display_name":"Fityanul Akhyar","orcid":"https://orcid.org/0000-0003-3855-4175"},"institutions":[{"id":"https://openalex.org/I99908691","display_name":"Yuan Ze University","ror":"https://ror.org/01fv1ds98","country_code":"TW","type":"education","lineage":["https://openalex.org/I99908691"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Fityanul Akhyar","raw_affiliation_strings":["Dept. of Electrical Engineering, Yuan-Ze University, Taoyuan, Taiwan"],"affiliations":[{"raw_affiliation_string":"Dept. of Electrical Engineering, Yuan-Ze University, Taoyuan, Taiwan","institution_ids":["https://openalex.org/I99908691"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087964642","display_name":"Chih\u2010Yang Lin","orcid":"https://orcid.org/0000-0002-0401-8473"},"institutions":[{"id":"https://openalex.org/I99908691","display_name":"Yuan Ze University","ror":"https://ror.org/01fv1ds98","country_code":"TW","type":"education","lineage":["https://openalex.org/I99908691"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Chih-Yang Lin","raw_affiliation_strings":["Dept. of Electrical Engineering, Yuan-Ze University, Taoyuan, Taiwan"],"affiliations":[{"raw_affiliation_string":"Dept. of Electrical Engineering, Yuan-Ze University, Taoyuan, Taiwan","institution_ids":["https://openalex.org/I99908691"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089411412","display_name":"Kahlil Muchtar","orcid":"https://orcid.org/0000-0001-5740-1938"},"institutions":[{"id":"https://openalex.org/I187494767","display_name":"Universitas Syiah Kuala","ror":"https://ror.org/05v4dza81","country_code":"ID","type":"education","lineage":["https://openalex.org/I187494767"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Kahlil Muchtar","raw_affiliation_strings":["Dept. of Electrical and Computer Engineering, Syiah Kuala University, Banda Aceh, Indonesia"],"affiliations":[{"raw_affiliation_string":"Dept. of Electrical and Computer Engineering, Syiah Kuala University, Banda Aceh, Indonesia","institution_ids":["https://openalex.org/I187494767"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022028244","display_name":"Tung-Ying Wu","orcid":null},"institutions":[{"id":"https://openalex.org/I930026050","display_name":"China Steel (Taiwan)","ror":"https://ror.org/02djppw35","country_code":"TW","type":"company","lineage":["https://openalex.org/I930026050"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Tung-Ying Wu","raw_affiliation_strings":["Electro-Mechanical Technology Section, China Steel Corporation, Taiwan"],"affiliations":[{"raw_affiliation_string":"Electro-Mechanical Technology Section, China Steel Corporation, Taiwan","institution_ids":["https://openalex.org/I930026050"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5009152648","display_name":"Hui\u2010Fuang Ng","orcid":"https://orcid.org/0000-0003-4394-2770"},"institutions":[{"id":"https://openalex.org/I931681460","display_name":"Universiti Tunku Abdul Rahman","ror":"https://ror.org/050pq4m56","country_code":"MY","type":"education","lineage":["https://openalex.org/I931681460"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Hui-Fuang Ng","raw_affiliation_strings":["Dept. of Computer Science, FICT, Universiti Tunku Abdul Rahman, Malaysia"],"affiliations":[{"raw_affiliation_string":"Dept. of Computer Science, FICT, Universiti Tunku Abdul Rahman, Malaysia","institution_ids":["https://openalex.org/I931681460"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5006920248"],"corresponding_institution_ids":["https://openalex.org/I99908691"],"apc_list":null,"apc_paid":null,"fwci":1.7403,"has_fulltext":false,"cited_by_count":28,"citation_normalized_percentile":{"value":0.87672727,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"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":0.9998000264167786,"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":0.9998000264167786,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9994000196456909,"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/T11606","display_name":"Infrastructure Maintenance and Monitoring","score":0.9886999726295471,"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/object-detection","display_name":"Object detection","score":0.7722570300102234},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7610737085342407},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7234052419662476},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.5571919679641724},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5525151491165161},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5150899291038513},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.512243926525116},{"id":"https://openalex.org/keywords/single-stage","display_name":"Single stage","score":0.4797721803188324},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.478963166475296},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4556856155395508},{"id":"https://openalex.org/keywords/pyramid","display_name":"Pyramid (geometry)","score":0.45191720128059387},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.4465402066707611},{"id":"https://openalex.org/keywords/stage","display_name":"Stage (stratigraphy)","score":0.44100263714790344},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4173382818698883},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.14877429604530334},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.11130237579345703},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.07443797588348389}],"concepts":[{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.7722570300102234},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7610737085342407},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7234052419662476},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.5571919679641724},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5525151491165161},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5150899291038513},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.512243926525116},{"id":"https://openalex.org/C3020376581","wikidata":"https://www.wikidata.org/wiki/Q16866784","display_name":"Single stage","level":2,"score":0.4797721803188324},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.478963166475296},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4556856155395508},{"id":"https://openalex.org/C142575187","wikidata":"https://www.wikidata.org/wiki/Q3358290","display_name":"Pyramid (geometry)","level":2,"score":0.45191720128059387},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.4465402066707611},{"id":"https://openalex.org/C146357865","wikidata":"https://www.wikidata.org/wiki/Q1123245","display_name":"Stage (stratigraphy)","level":2,"score":0.44100263714790344},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4173382818698883},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.14877429604530334},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.11130237579345703},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07443797588348389},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/avss.2019.8909834","is_oa":false,"landing_page_url":"https://doi.org/10.1109/avss.2019.8909834","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 16th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W2194775991","https://openalex.org/W2565639579","https://openalex.org/W2593419631","https://openalex.org/W2752782242","https://openalex.org/W2886904239","https://openalex.org/W2954875452","https://openalex.org/W2957750939","https://openalex.org/W2963351448","https://openalex.org/W2963420686","https://openalex.org/W3106250896","https://openalex.org/W6620707391","https://openalex.org/W6785652829"],"related_works":["https://openalex.org/W4249847449","https://openalex.org/W44395729","https://openalex.org/W3037187668","https://openalex.org/W1496225612","https://openalex.org/W2765338038","https://openalex.org/W2787993192","https://openalex.org/W2380685755","https://openalex.org/W4386191828","https://openalex.org/W1566843515","https://openalex.org/W4292850564"],"abstract_inverted_index":{"To":[0],"date,":[1],"deep":[2,23],"learning":[3,24],"has":[4,93],"been":[5],"widely":[6],"introduced":[7,137],"in":[8,57,104,189],"many":[9],"fields,":[10],"including":[11],"object":[12,26,50,67,162],"detection,":[13],"medical":[14],"imaging,":[15],"and":[16,45,48,76,154,165,186],"automation.":[17],"One":[18],"important":[19],"application":[20],"that":[21,177],"uses":[22],"based":[25],"detection":[27,51,59,68,127,134,163],"is":[28],"detecting":[29,114],"defects":[30,88],"by":[31,138],"simply":[32],"evaluating":[33],"the":[34,65,77,124,160,178],"image":[35],"of":[36,64,123],"an":[37],"object.":[38],"Such":[39],"systems":[40],"must":[41],"be":[42],"accurate,":[43],"robust":[44],"efficient.":[46],"Single-stage":[47],"two-stage":[49,83,125],"are":[52],"two":[53],"main":[54],"approaches":[55],"used":[56],"defect":[58,126,192],"systems.":[60],"A":[61,120],"revised":[62],"version":[63],"popular":[66],"method":[69,84,142],"called":[70,143],"single":[71],"shot":[72],"multi-box":[73],"detector":[74],"(SSD)":[75],"residual":[78],"network":[79,152],"(ResNet)":[80],"offer":[81],"a":[82,109,130,140,149],"to":[85,100,158,166],"automatically":[86],"detect":[87],"with":[89,98,168],"higher":[90],"precision":[91],"but":[92],"shown":[94],"room":[95],"for":[96,113],"improvement":[97],"regard":[99],"speed":[101,188],"performance.":[102],"Therefore,":[103],"this":[105],"paper,":[106],"we":[107,147],"propose":[108],"fully":[110],"automatic":[111],"pipeline":[112,181],"defects,":[115],"especially":[116],"on":[117],"steel":[118,190],"surfaces.":[119],"novel":[121],"transformation":[122],"process":[128,135],"into":[129],"more":[131],"efficient":[132],"single-stage":[133,180],"was":[136],"utilizing":[139],"state-of-the-art":[141],"RetinaNet.":[144],"In":[145],"addition,":[146],"leverage":[148],"feature":[150],"pyramid":[151],"(FPN)":[153],"focal":[155],"loss":[156],"optimization":[157],"solve":[159],"small":[161],"problem":[164],"deal":[167],"imbalanced":[169],"background-foreground":[170],"samples":[171],"issue,":[172],"respectively.":[173],"Experimental":[174],"results":[175],"show":[176],"proposed":[179],"can":[182],"achieve":[183],"high":[184],"accuracy":[185],"faster":[187],"surface":[191],"detection.":[193]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":9},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":4}],"updated_date":"2026-01-29T23:13:10.619473","created_date":"2025-10-10T00:00:00"}
