{"id":"https://openalex.org/W2904398354","doi":"https://doi.org/10.1609/aaai.v33i01.33019203","title":"Cousin Network Guided Sketch Recognition via Latent Attribute Warehouse","display_name":"Cousin Network Guided Sketch Recognition via Latent Attribute Warehouse","publication_year":2019,"publication_date":"2019-07-17","ids":{"openalex":"https://openalex.org/W2904398354","doi":"https://doi.org/10.1609/aaai.v33i01.33019203","mag":"2904398354"},"language":"en","primary_location":{"id":"doi:10.1609/aaai.v33i01.33019203","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v33i01.33019203","pdf_url":"https://ojs.aaai.org/index.php/AAAI/article/download/4955/4828","source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://ojs.aaai.org/index.php/AAAI/article/download/4955/4828","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5103144603","display_name":"Kaihao Zhang","orcid":"https://orcid.org/0000-0002-4317-660X"},"institutions":[{"id":"https://openalex.org/I118347636","display_name":"Australian National University","ror":"https://ror.org/019wvm592","country_code":"AU","type":"education","lineage":["https://openalex.org/I118347636"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Kaihao Zhang","raw_affiliation_strings":["Australian National University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Australian National University","institution_ids":["https://openalex.org/I118347636"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004450394","display_name":"Wenhan Luo","orcid":"https://orcid.org/0000-0002-5697-4168"},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenhan Luo","raw_affiliation_strings":["Tencent AI Lab"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tencent AI Lab","institution_ids":["https://openalex.org/I2250653659"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017116858","display_name":"Lin Ma","orcid":"https://orcid.org/0000-0002-7331-6132"},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lin Ma","raw_affiliation_strings":["Tencent AI Lab"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tencent AI Lab","institution_ids":["https://openalex.org/I2250653659"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101819061","display_name":"Hongdong Li","orcid":"https://orcid.org/0000-0003-4125-1554"},"institutions":[{"id":"https://openalex.org/I118347636","display_name":"Australian National University","ror":"https://ror.org/019wvm592","country_code":"AU","type":"education","lineage":["https://openalex.org/I118347636"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Hongdong Li","raw_affiliation_strings":["Australian National University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Australian National University","institution_ids":["https://openalex.org/I118347636"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":24,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"33","issue":"01","first_page":"9203","last_page":"9210"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","score":0.9983000159263611,"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/T11448","display_name":"Face recognition and analysis","score":0.9983000159263611,"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":0.996999979019165,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9753000140190125,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/sketch","display_name":"Sketch","score":0.9097455739974976},{"id":"https://openalex.org/keywords/sketch-recognition","display_name":"Sketch recognition","score":0.8203911781311035},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.765148937702179},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6409054398536682},{"id":"https://openalex.org/keywords/rendering","display_name":"Rendering (computer graphics)","score":0.6361939907073975},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5274679660797119},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.49740317463874817},{"id":"https://openalex.org/keywords/bridging","display_name":"Bridging (networking)","score":0.49533048272132874},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.42657583951950073},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.41095873713493347},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08893969655036926},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.08454930782318115}],"concepts":[{"id":"https://openalex.org/C2779231336","wikidata":"https://www.wikidata.org/wiki/Q7534724","display_name":"Sketch","level":2,"score":0.9097455739974976},{"id":"https://openalex.org/C132900626","wikidata":"https://www.wikidata.org/wiki/Q7534733","display_name":"Sketch recognition","level":4,"score":0.8203911781311035},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.765148937702179},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6409054398536682},{"id":"https://openalex.org/C205711294","wikidata":"https://www.wikidata.org/wiki/Q176953","display_name":"Rendering (computer graphics)","level":2,"score":0.6361939907073975},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5274679660797119},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.49740317463874817},{"id":"https://openalex.org/C174348530","wikidata":"https://www.wikidata.org/wiki/Q188635","display_name":"Bridging (networking)","level":2,"score":0.49533048272132874},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.42657583951950073},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.41095873713493347},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08893969655036926},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.08454930782318115},{"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/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","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/C207347870","wikidata":"https://www.wikidata.org/wiki/Q371174","display_name":"Gesture","level":2,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1609/aaai.v33i01.33019203","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v33i01.33019203","pdf_url":"https://ojs.aaai.org/index.php/AAAI/article/download/4955/4828","source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},{"id":"pmh:oai:ojs.aaai.org:article/4955","is_oa":false,"landing_page_url":"https://ojs.aaai.org/index.php/AAAI/article/view/4955","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"2159-5399","raw_type":"info:eu-repo/semantics/article"},{"id":"pmh:oai:openresearch-repository.anu.edu.au:1885/313736","is_oa":false,"landing_page_url":"http://hdl.handle.net/1885/313736","pdf_url":null,"source":{"id":"https://openalex.org/S4306402539","display_name":"ANU Open Research (Australian National University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I118347636","host_organization_name":"Australian National University","host_organization_lineage":["https://openalex.org/I118347636"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Vol. 33 No. 01: AAAI-19, IAAI-19, EAAI-20","raw_type":"Conference paper"},{"id":"pmh:oai:repository.hkust.edu.hk:1783.1-139194","is_oa":false,"landing_page_url":"http://lbdiscover.ust.hk/uresolver?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rfr_id=info:sid/HKUST:SPI&rft.genre=article&rft.issn=&rft.volume=&rft.issue=&rft.date=2019&rft.spage=9203&rft.aulast=Zhang&rft.aufirst=Kaihao&rft.atitle=Cousin+network+guided+sketch+recognition+via+latent+attribute+warehouse&rft.title=33rd+AAAI+Conference+on+Artificial+Intelligence%2C+AAAI+2019%2C+31st+Innovative+Applications+of+Artificial+Intelligence+Conference%2C+IAAI+2019+and+the+9th+AAAI+Symposium+on+Educational+Advances+in+Artificial+Intelligence%2C+EAAI+2019","pdf_url":null,"source":{"id":"https://openalex.org/S4306401796","display_name":"Rare & Special e-Zone (The Hong Kong University of Science and Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I200769079","host_organization_name":"Hong Kong University of Science and Technology","host_organization_lineage":["https://openalex.org/I200769079"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference paper"}],"best_oa_location":{"id":"doi:10.1609/aaai.v33i01.33019203","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v33i01.33019203","pdf_url":"https://ojs.aaai.org/index.php/AAAI/article/download/4955/4828","source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320316083","display_name":"Tencent","ror":"https://ror.org/00hhjss72"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2904398354.pdf","grobid_xml":"https://content.openalex.org/works/W2904398354.grobid-xml"},"referenced_works_count":50,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1138946912","https://openalex.org/W1503798456","https://openalex.org/W1536680647","https://openalex.org/W1686810756","https://openalex.org/W1799366690","https://openalex.org/W1892078565","https://openalex.org/W1948751323","https://openalex.org/W1972420097","https://openalex.org/W1976664910","https://openalex.org/W1976948919","https://openalex.org/W2027125558","https://openalex.org/W2048568806","https://openalex.org/W2097117768","https://openalex.org/W2099471712","https://openalex.org/W2131846894","https://openalex.org/W2148357922","https://openalex.org/W2153404544","https://openalex.org/W2156303437","https://openalex.org/W2163605009","https://openalex.org/W2194775991","https://openalex.org/W2323476717","https://openalex.org/W2435136795","https://openalex.org/W2467281799","https://openalex.org/W2471581439","https://openalex.org/W2493181180","https://openalex.org/W2600389231","https://openalex.org/W2603445054","https://openalex.org/W2604164738","https://openalex.org/W2613718673","https://openalex.org/W2617602381","https://openalex.org/W2620236356","https://openalex.org/W2749056374","https://openalex.org/W2757776755","https://openalex.org/W2952320381","https://openalex.org/W2962772087","https://openalex.org/W2963470893","https://openalex.org/W2964078006","https://openalex.org/W2964318715","https://openalex.org/W3101787898","https://openalex.org/W4320013936","https://openalex.org/W6627254955","https://openalex.org/W6630195098","https://openalex.org/W6631782140","https://openalex.org/W6638444622","https://openalex.org/W6687483927","https://openalex.org/W6719736630","https://openalex.org/W6720556571","https://openalex.org/W6738438352","https://openalex.org/W7053304325"],"related_works":["https://openalex.org/W1971224820","https://openalex.org/W2963977451","https://openalex.org/W1976890290","https://openalex.org/W13629514","https://openalex.org/W1822434944","https://openalex.org/W2054923830","https://openalex.org/W2169734349","https://openalex.org/W3081020705","https://openalex.org/W2176457742","https://openalex.org/W3201246199"],"abstract_inverted_index":{"We":[0],"study":[1],"the":[2,25,31,37,50,54,71,121,125,136,139,143,151,156,173,177],"problem":[3,9],"of":[4,27,52,73,112,124,176],"sketch":[5,17,42,82,140],"image":[6,43,47,145],"recognition.":[7],"This":[8,96],"is":[10,132,159],"plagued":[11],"with":[12],"two":[13,55],"major":[14],"challenges:":[15],"1)":[16],"images":[18,79,167],"are":[19,108],"often":[20],"scarce":[21],"in":[22,64],"contrast":[23],"to":[24,60,69,80,102,110,119,134,161],"abundance":[26],"natural":[28,46,78,113,166],"images,":[29,114],"rendering":[30],"training":[32],"task":[33,51],"difficult,":[34],"and":[35,44,142,168],"2)":[36],"significant":[38],"domain":[39,141],"gap":[40],"between":[41,138],"its":[45],"counterpart":[48],"makes":[49],"bridging":[53],"domains":[56],"challenging.":[57],"In":[58],"order":[59],"overcome":[61],"these":[62],"challenges,":[63],"this":[65],"paper":[66],"we":[67,91],"propose":[68],"transfer":[70,122],"knowledge":[72,164],"a":[74,81,85,99,128],"network":[75,83,97,101],"learned":[76],"from":[77,165],"-":[84],"new":[86],"deep":[87],"net":[88],"architecture":[89],"which":[90],"term":[92],"as":[93],"cousin":[94],"network.":[95],"guides":[98],"sketch-recognition":[100],"extract":[103],"more":[104],"relevant":[105],"features":[106],"that":[107,155],"close":[109],"those":[111],"via":[115],"adversarial":[116],"training.":[117],"Moreover,":[118],"enhance":[120],"ability":[123],"classification":[126],"model,":[127],"sketch-to-image":[129],"attribute":[130],"warehouse":[131],"constructed":[133],"approximate":[135],"transformation":[137],"real":[144],"domain.":[146],"Extensive":[147],"experiments":[148],"conducted":[149],"on":[150],"TU-Berlin":[152],"dataset":[153],"show":[154],"proposed":[157],"model":[158],"able":[160],"efficiently":[162],"distill":[163],"achieves":[169],"superior":[170],"performance":[171],"than":[172],"current":[174],"state":[175],"art.":[178]},"counts_by_year":[{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":8},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":9},{"year":2018,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}