{"id":"https://openalex.org/W2843005941","doi":"https://doi.org/10.1109/siu.2018.8404417","title":"Sketch classification with deep learning models","display_name":"Sketch classification with deep learning models","publication_year":2018,"publication_date":"2018-05-01","ids":{"openalex":"https://openalex.org/W2843005941","doi":"https://doi.org/10.1109/siu.2018.8404417","mag":"2843005941"},"language":"en","primary_location":{"id":"doi:10.1109/siu.2018.8404417","is_oa":false,"landing_page_url":"https://doi.org/10.1109/siu.2018.8404417","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 26th Signal Processing and Communications Applications Conference (SIU)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5001096493","display_name":"Fevziye \u0130rem Eyiokur","orcid":"https://orcid.org/0000-0001-5754-5405"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Fevziye \u0130rem Eyiokur","raw_affiliation_strings":["Bilgisayar M&#x00FC;hendisli&#x011F;i B&#x00F6;l&#x00FC;m&#x00FC;, &#x0130;stanbul Teknik &#x00DC;niversitesi, &#x0130;stanbul, T&#x00FC;rkiye"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Bilgisayar M&#x00FC;hendisli&#x011F;i B&#x00F6;l&#x00FC;m&#x00FC;, &#x0130;stanbul Teknik &#x00DC;niversitesi, &#x0130;stanbul, T&#x00FC;rkiye","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055264805","display_name":"Do\u011fucan Yaman","orcid":"https://orcid.org/0000-0002-5047-295X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Do\u011fucan Yaman","raw_affiliation_strings":["Bilgisayar M&#x00FC;hendisli&#x011F;i B&#x00F6;l&#x00FC;m&#x00FC;, &#x0130;stanbul Teknik &#x00DC;niversitesi, &#x0130;stanbul, T&#x00FC;rkiye"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Bilgisayar M&#x00FC;hendisli&#x011F;i B&#x00F6;l&#x00FC;m&#x00FC;, &#x0130;stanbul Teknik &#x00DC;niversitesi, &#x0130;stanbul, T&#x00FC;rkiye","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5009982931","display_name":"Haz\u0131m Kemal Ekenel","orcid":"https://orcid.org/0000-0003-3697-8548"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Haz\u0131m Kemal Ekenel","raw_affiliation_strings":["Bilgisayar M&#x00FC;hendisli&#x011F;i B&#x00F6;l&#x00FC;m&#x00FC;, &#x0130;stanbul Teknik &#x00DC;niversitesi, &#x0130;stanbul, T&#x00FC;rkiye"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Bilgisayar M&#x00FC;hendisli&#x011F;i B&#x00F6;l&#x00FC;m&#x00FC;, &#x0130;stanbul Teknik &#x00DC;niversitesi, &#x0130;stanbul, T&#x00FC;rkiye","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"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/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9916999936103821,"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/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9916999936103821,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9850999712944031,"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/T11211","display_name":"3D Surveying and Cultural Heritage","score":0.9722999930381775,"subfield":{"id":"https://openalex.org/subfields/1907","display_name":"Geology"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/sketch","display_name":"Sketch","score":0.9193658828735352},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7890715003013611},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7642824053764343},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.753085196018219},{"id":"https://openalex.org/keywords/domain-adaptation","display_name":"Domain adaptation","score":0.5837549567222595},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5695033669471741},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.568077027797699},{"id":"https://openalex.org/keywords/sketch-recognition","display_name":"Sketch recognition","score":0.5215718150138855},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4581126570701599},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.4507458508014679},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.43257176876068115},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.42864981293678284},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.08480486273765564},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.06482648849487305},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.052707552909851074}],"concepts":[{"id":"https://openalex.org/C2779231336","wikidata":"https://www.wikidata.org/wiki/Q7534724","display_name":"Sketch","level":2,"score":0.9193658828735352},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7890715003013611},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7642824053764343},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.753085196018219},{"id":"https://openalex.org/C2776434776","wikidata":"https://www.wikidata.org/wiki/Q19246213","display_name":"Domain adaptation","level":3,"score":0.5837549567222595},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5695033669471741},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.568077027797699},{"id":"https://openalex.org/C132900626","wikidata":"https://www.wikidata.org/wiki/Q7534733","display_name":"Sketch recognition","level":4,"score":0.5215718150138855},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4581126570701599},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.4507458508014679},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.43257176876068115},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.42864981293678284},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.08480486273765564},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.06482648849487305},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.052707552909851074},{"id":"https://openalex.org/C207347870","wikidata":"https://www.wikidata.org/wiki/Q371174","display_name":"Gesture","level":2,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C159437735","wikidata":"https://www.wikidata.org/wiki/Q1519524","display_name":"Gesture recognition","level":3,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/siu.2018.8404417","is_oa":false,"landing_page_url":"https://doi.org/10.1109/siu.2018.8404417","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 26th Signal Processing and Communications Applications Conference (SIU)","raw_type":"proceedings-article"},{"id":"pmh:oai:polen.itu.edu.tr:11527/64414","is_oa":false,"landing_page_url":"https://hdl.handle.net/11527/64414","pdf_url":null,"source":{"id":"https://openalex.org/S4306400460","display_name":"Istanbul Technical University Academic Open Archive (Istanbul Technical University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I48912391","host_organization_name":"Istanbul Technical University","host_organization_lineage":["https://openalex.org/I48912391"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","score":0.5899999737739563,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1972420097","https://openalex.org/W1976664910","https://openalex.org/W2027125558","https://openalex.org/W2099471712","https://openalex.org/W2108598243","https://openalex.org/W2125635584","https://openalex.org/W2149933564","https://openalex.org/W2255259862","https://openalex.org/W2463931728","https://openalex.org/W2466618734","https://openalex.org/W2471581439","https://openalex.org/W2528176169","https://openalex.org/W2603445054","https://openalex.org/W2765837117","https://openalex.org/W3105744362"],"related_works":["https://openalex.org/W2294900353","https://openalex.org/W2411243951","https://openalex.org/W2151314278","https://openalex.org/W13629514","https://openalex.org/W1971224820","https://openalex.org/W2963977451","https://openalex.org/W2098836165","https://openalex.org/W1976890290","https://openalex.org/W1573697454","https://openalex.org/W2966897482"],"abstract_inverted_index":{"Sketch":[0],"classification":[1,38,71],"problem":[2,39],"is":[3,40,55,73],"challenging":[4],"due":[5],"to":[6],"several":[7],"reasons,":[8],"such":[9],"as":[10],"absence":[11],"of":[12,18,21,31,52],"color":[13],"and":[14,23,86],"texture":[15],"information,":[16],"lack":[17],"detailed":[19],"information":[20],"objects,":[22],"the":[24,32,50,59,70,91,96],"quality,":[25],"which":[26,81],"depends":[27],"on":[28,95],"drawing":[29],"ability":[30],"person.":[33],"In":[34],"this":[35],"study,":[36],"sketch":[37,64,99],"addressed":[41],"by":[42,75,101],"using":[43],"deep":[44],"convolutional":[45,60],"neural":[46,61],"network":[47,84],"models.":[48],"Specifically,":[49],"effect":[51],"domain":[53,68],"adaptation":[54],"examined,":[56],"when":[57],"fine-tuning":[58],"networks":[62],"for":[63],"classification.":[65],"By":[66],"employing":[67],"adaptation,":[69],"accuracy":[72],"increased":[74],"around":[76],"3%.":[77],"The":[78],"proposed":[79],"system,":[80],"utilizes":[82],"VGG-16":[83],"model":[85],"performs":[87],"two-stage":[88],"fine-tuning,":[89],"outperforms":[90],"previous":[92],"state-of-the-art":[93],"approaches":[94],"TU":[97],"Berlin":[98],"dataset":[100],"reaching":[102],"79,72%":[103],"accuracy.":[104]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
