{"id":"https://openalex.org/W2783973676","doi":"https://doi.org/10.1109/etfa.2017.8247638","title":"Clothes detection and classification using convolutional neural networks","display_name":"Clothes detection and classification using convolutional neural networks","publication_year":2017,"publication_date":"2017-09-01","ids":{"openalex":"https://openalex.org/W2783973676","doi":"https://doi.org/10.1109/etfa.2017.8247638","mag":"2783973676"},"language":"en","primary_location":{"id":"doi:10.1109/etfa.2017.8247638","is_oa":false,"landing_page_url":"https://doi.org/10.1109/etfa.2017.8247638","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 22nd IEEE International Conference on Emerging Technologies and Factory Automation (ETFA)","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/A5051527797","display_name":"Jan Cychnerski","orcid":"https://orcid.org/0000-0003-2733-4599"},"institutions":[{"id":"https://openalex.org/I169333911","display_name":"Gda\u0144sk University of Technology","ror":"https://ror.org/006x4sc24","country_code":"PL","type":"education","lineage":["https://openalex.org/I169333911"]},{"id":"https://openalex.org/I4210165507","display_name":"Centrum Techniki Okr\u0119towej","ror":"https://ror.org/05t6zq805","country_code":"PL","type":"facility","lineage":["https://openalex.org/I4210165507"]}],"countries":["PL"],"is_corresponding":true,"raw_author_name":"Jan Cychnerski","raw_affiliation_strings":["CTA, Gdansk, Poland","Faculty of Electronics, Telecommunications and Informatics, Gdansk University of Technology, Gdansk, Poland"],"affiliations":[{"raw_affiliation_string":"CTA, Gdansk, Poland","institution_ids":["https://openalex.org/I4210165507"]},{"raw_affiliation_string":"Faculty of Electronics, Telecommunications and Informatics, Gdansk University of Technology, Gdansk, Poland","institution_ids":["https://openalex.org/I169333911"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044800193","display_name":"Adam Brzeski","orcid":"https://orcid.org/0000-0002-1005-4315"},"institutions":[{"id":"https://openalex.org/I4210165507","display_name":"Centrum Techniki Okr\u0119towej","ror":"https://ror.org/05t6zq805","country_code":"PL","type":"facility","lineage":["https://openalex.org/I4210165507"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Adam Brzeski","raw_affiliation_strings":["CTA, Gdansk, Poland"],"affiliations":[{"raw_affiliation_string":"CTA, Gdansk, Poland","institution_ids":["https://openalex.org/I4210165507"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076110027","display_name":"Adrian Boguszewski","orcid":null},"institutions":[{"id":"https://openalex.org/I4210165507","display_name":"Centrum Techniki Okr\u0119towej","ror":"https://ror.org/05t6zq805","country_code":"PL","type":"facility","lineage":["https://openalex.org/I4210165507"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Adrian Boguszewski","raw_affiliation_strings":["CTA, Gdansk, Poland"],"affiliations":[{"raw_affiliation_string":"CTA, Gdansk, Poland","institution_ids":["https://openalex.org/I4210165507"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067304904","display_name":"Mateusz Marmolowski","orcid":null},"institutions":[{"id":"https://openalex.org/I4210165507","display_name":"Centrum Techniki Okr\u0119towej","ror":"https://ror.org/05t6zq805","country_code":"PL","type":"facility","lineage":["https://openalex.org/I4210165507"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Mateusz Marmolowski","raw_affiliation_strings":["CTA, Gdansk, Poland"],"affiliations":[{"raw_affiliation_string":"CTA, Gdansk, Poland","institution_ids":["https://openalex.org/I4210165507"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5055317953","display_name":"Marek Trojanowicz","orcid":"https://orcid.org/0000-0001-9098-2236"},"institutions":[{"id":"https://openalex.org/I4210165507","display_name":"Centrum Techniki Okr\u0119towej","ror":"https://ror.org/05t6zq805","country_code":"PL","type":"facility","lineage":["https://openalex.org/I4210165507"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Marek Trojanowicz","raw_affiliation_strings":["CTA, Gdansk, Poland"],"affiliations":[{"raw_affiliation_string":"CTA, Gdansk, Poland","institution_ids":["https://openalex.org/I4210165507"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5051527797"],"corresponding_institution_ids":["https://openalex.org/I169333911","https://openalex.org/I4210165507"],"apc_list":null,"apc_paid":null,"fwci":1.8065,"has_fulltext":false,"cited_by_count":30,"citation_normalized_percentile":{"value":0.87783651,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"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/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.995199978351593,"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":0.995199978351593,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9818999767303467,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.980400025844574,"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/computer-science","display_name":"Computer science","score":0.7847188711166382},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7491277456283569},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6856627464294434},{"id":"https://openalex.org/keywords/metadata","display_name":"Metadata","score":0.620263397693634},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5963950157165527},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.562716543674469},{"id":"https://openalex.org/keywords/clothing","display_name":"Clothing","score":0.5514925718307495},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5357196927070618},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.48030346632003784},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.4558188021183014},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4190806448459625},{"id":"https://openalex.org/keywords/ground-truth","display_name":"Ground truth","score":0.414841890335083},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.41197627782821655},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.33181631565093994},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.18352928757667542},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09830132126808167}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7847188711166382},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7491277456283569},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6856627464294434},{"id":"https://openalex.org/C93518851","wikidata":"https://www.wikidata.org/wiki/Q180160","display_name":"Metadata","level":2,"score":0.620263397693634},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5963950157165527},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.562716543674469},{"id":"https://openalex.org/C530175646","wikidata":"https://www.wikidata.org/wiki/Q11460","display_name":"Clothing","level":2,"score":0.5514925718307495},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5357196927070618},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.48030346632003784},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.4558188021183014},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4190806448459625},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.414841890335083},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.41197627782821655},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.33181631565093994},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.18352928757667542},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09830132126808167},{"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/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C95457728","wikidata":"https://www.wikidata.org/wiki/Q309","display_name":"History","level":0,"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/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/etfa.2017.8247638","is_oa":false,"landing_page_url":"https://doi.org/10.1109/etfa.2017.8247638","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 22nd IEEE International Conference on Emerging Technologies and Factory Automation (ETFA)","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":38,"referenced_works":["https://openalex.org/W123584468","https://openalex.org/W146395692","https://openalex.org/W639708223","https://openalex.org/W1921293667","https://openalex.org/W1946323491","https://openalex.org/W1950888772","https://openalex.org/W2009915416","https://openalex.org/W2031489346","https://openalex.org/W2045570199","https://openalex.org/W2076063813","https://openalex.org/W2091473544","https://openalex.org/W2094311777","https://openalex.org/W2097117768","https://openalex.org/W2108890589","https://openalex.org/W2117539524","https://openalex.org/W2135367695","https://openalex.org/W2137297153","https://openalex.org/W2157732827","https://openalex.org/W2171671655","https://openalex.org/W2194775991","https://openalex.org/W2200092826","https://openalex.org/W2226771013","https://openalex.org/W2279098554","https://openalex.org/W2410358280","https://openalex.org/W2464305746","https://openalex.org/W2465097962","https://openalex.org/W2471768434","https://openalex.org/W2535561795","https://openalex.org/W2559496264","https://openalex.org/W2609578701","https://openalex.org/W2609817928","https://openalex.org/W2613718673","https://openalex.org/W3106250896","https://openalex.org/W6620707391","https://openalex.org/W6640298173","https://openalex.org/W6676020639","https://openalex.org/W6737516894","https://openalex.org/W6785652829"],"related_works":["https://openalex.org/W2738456166","https://openalex.org/W2352745894","https://openalex.org/W2057731951","https://openalex.org/W2058118494","https://openalex.org/W2392768766","https://openalex.org/W2358836583","https://openalex.org/W2064629212","https://openalex.org/W2382021449","https://openalex.org/W2387983088","https://openalex.org/W4223555864"],"abstract_inverted_index":{"In":[0,121],"this":[1],"paper":[2],"we":[3,124,165],"describe":[4],"development":[5],"of":[6,16,25,31,62,71,73,103,109,115,118,131,134,147],"a":[7,23,69,132],"computer":[8],"vision":[9],"system":[10],"for":[11,18,60,90,183],"accurate":[12],"detection":[13,47,174],"and":[14,39,51,99,150,176],"classification":[15,129],"clothes":[17,46,173],"e-commerce":[19],"images.":[20],"We":[21,153],"present":[22,166],"set":[24,70,133],"experiments":[26,123],"on":[27,53,68,128],"well":[28],"established":[29],"architectures":[30],"convolutional":[32],"neural":[33],"networks,":[34,37],"including":[35,94,137],"Residual":[36],"SqueezeNet":[38],"Single":[40],"Shot":[41],"MultiBox":[42],"Detector":[43],"(SSD).":[44],"The":[45],"network":[48,149,181],"was":[49,66],"trained":[50],"tested":[52],"DeepFashion":[54],"dataset,":[55],"which":[56],"contains":[57],"box":[58],"annotations":[59],"locations":[61],"clothes.":[63],"Classification":[64],"task":[65,175],"evaluated":[67],"images":[72],"dresses":[74,184],"that":[75],"were":[76,84],"collected":[77],"from":[78,86],"online":[79],"shops.":[80],"Ground":[81],"truth":[82],"labels":[83,110],"inferred":[85],"shop":[87],"items":[88],"metadata":[89],"five":[91],"different":[92],"attributes,":[93],"color,":[95],"pattern,":[96],"sleeve,":[97],"neckline":[98],"hemline,":[100],"each":[101],"consisting":[102],"several":[104],"possible":[105],"classes.":[106],"Automatic":[107],"gathering":[108],"resulted":[111],"in":[112,171],"an":[113],"average":[114],"83%":[116],"rate":[117],"correct":[119],"labels.":[120],"the":[122,126,145,148,155,161,167,172,178],"evaluate":[125],"impact":[127],"accuracy":[130,156,169],"potential":[135],"improvements,":[136],"data":[138],"augmentation":[139],"by":[140],"generating":[141],"diverse":[142],"backgrounds,":[143],"increasing":[144],"size":[146],"using":[151],"ensembles.":[152],"analyse":[154],"improvements":[157],"with":[158],"respect":[159],"to":[160],"processing":[162],"efficiency.":[163],"Finally,":[164],"achieved":[168],"rates":[170],"outline":[177],"most":[179],"successful":[180],"configurations":[182],"classification.":[185]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":7},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
