{"id":"https://openalex.org/W2911968710","doi":"https://doi.org/10.1109/access.2019.2894351","title":"Personalized Sketch-Based Image Retrieval by Convolutional Neural Network and Deep Transfer Learning","display_name":"Personalized Sketch-Based Image Retrieval by Convolutional Neural Network and Deep Transfer Learning","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2911968710","doi":"https://doi.org/10.1109/access.2019.2894351","mag":"2911968710"},"language":"en","primary_location":{"id":"doi:10.1109/access.2019.2894351","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2894351","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08624245.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08624245.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100406584","display_name":"Qi Qi","orcid":"https://orcid.org/0000-0003-0829-4624"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qi Qi","raw_affiliation_strings":["State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-0829-4624","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031089973","display_name":"Qiming Huo","orcid":null},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiming Huo","raw_affiliation_strings":["State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100432460","display_name":"Jingyu Wang","orcid":"https://orcid.org/0000-0002-2182-2228"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jingyu Wang","raw_affiliation_strings":["State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008194128","display_name":"Haifeng Sun","orcid":"https://orcid.org/0000-0003-3072-7422"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haifeng Sun","raw_affiliation_strings":["State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-3072-7422","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069315236","display_name":"Yufei Cao","orcid":"https://orcid.org/0000-0003-1325-8484"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yufei Cao","raw_affiliation_strings":["EBUPT.COM, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"EBUPT.COM, Beijing, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5055685073","display_name":"Jianxin Liao","orcid":"https://orcid.org/0000-0003-1486-0573"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianxin Liao","raw_affiliation_strings":["State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":2.0378,"has_fulltext":false,"cited_by_count":28,"citation_normalized_percentile":{"value":0.87525622,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"7","issue":null,"first_page":"16537","last_page":"16549"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9995999932289124,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9995999932289124,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9995999932289124,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9853000044822693,"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":0.8165766000747681},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7375664710998535},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.6838812828063965},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6559503078460693},{"id":"https://openalex.org/keywords/sketch","display_name":"Sketch","score":0.619365394115448},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5931525230407715},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.5022175312042236},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.38206174969673157},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.33161991834640503},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.07250940799713135}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8165766000747681},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7375664710998535},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.6838812828063965},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6559503078460693},{"id":"https://openalex.org/C2779231336","wikidata":"https://www.wikidata.org/wiki/Q7534724","display_name":"Sketch","level":2,"score":0.619365394115448},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5931525230407715},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.5022175312042236},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.38206174969673157},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.33161991834640503},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.07250940799713135}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2019.2894351","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2894351","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08624245.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:dcab1af957a64cf58639c4d6821174e1","is_oa":true,"landing_page_url":"https://doaj.org/article/dcab1af957a64cf58639c4d6821174e1","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":"IEEE Access, Vol 7, Pp 16537-16549 (2019)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2019.2894351","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2894351","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08624245.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G158050311","display_name":"\u9762\u5411\u8f6f\u4ef6\u5b9a\u4e49\u6570\u636e\u4e2d\u5fc3\u7684\u591a\u8def\u5f84\u4f20\u8f93\u673a\u5236\u53ca\u8054\u5408\u4f18\u5316\u7406\u8bba\u7814\u7a76","funder_award_id":"61671079","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2262378678","display_name":null,"funder_award_id":"4182041","funder_id":"https://openalex.org/F4320322919","funder_display_name":"Natural Science Foundation of Beijing Municipality"},{"id":"https://openalex.org/G4669535195","display_name":"\u591a\u7528\u6237\u534f\u4f5c\u79fb\u52a8\u4e1a\u52a1\u4e91\u7684\u6784\u5efa\u4e0e\u8d44\u6e90\u4f18\u5316\u6280\u672f\u7814\u7a76","funder_award_id":"61471063","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5092157715","display_name":"\u57fa\u4e8e\u4eba\u5de5\u667a\u80fd\u7684\u8f6f\u4ef6\u5b9a\u4e49\u7f51\u7edc\u6d41\u91cf\u8bc6\u522b\u4e0e\u8d44\u6e90\u5206\u914d\u7814\u7a76","funder_award_id":"61771068","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322919","display_name":"Natural Science Foundation of Beijing Municipality","ror":null}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W2911968710.pdf"},"referenced_works_count":31,"referenced_works":["https://openalex.org/W1686810756","https://openalex.org/W1892078565","https://openalex.org/W1895722194","https://openalex.org/W1995525705","https://openalex.org/W2057175746","https://openalex.org/W2087926565","https://openalex.org/W2128543433","https://openalex.org/W2130932233","https://openalex.org/W2136763397","https://openalex.org/W2144502914","https://openalex.org/W2144762834","https://openalex.org/W2151103935","https://openalex.org/W2157364932","https://openalex.org/W2161969291","https://openalex.org/W2165430451","https://openalex.org/W2466618734","https://openalex.org/W2511925527","https://openalex.org/W2524609691","https://openalex.org/W2538394767","https://openalex.org/W2596720518","https://openalex.org/W2606271862","https://openalex.org/W2685669664","https://openalex.org/W2792461137","https://openalex.org/W2886647087","https://openalex.org/W2900028034","https://openalex.org/W2964172523","https://openalex.org/W4294375521","https://openalex.org/W6637373629","https://openalex.org/W6680508249","https://openalex.org/W6681224288","https://openalex.org/W6682778277"],"related_works":["https://openalex.org/W2185495922","https://openalex.org/W4226493464","https://openalex.org/W4312417841","https://openalex.org/W3133861977","https://openalex.org/W3183901164","https://openalex.org/W4206357785","https://openalex.org/W4281381188","https://openalex.org/W2951211570","https://openalex.org/W3192840557","https://openalex.org/W3176438653"],"abstract_inverted_index":{"The":[0,19,194,217],"sketch-based":[1,237],"image":[2,34,46,63,127,163,223,238],"retrieval":[3,20,87,233],"(SBIR)":[4],"finds":[5],"the":[6,11,33,38,43,54,61,65,70,78,86,97,131,134,139,143,149,155,160,167,170,176,185,190,198,206,213,231],"natural":[7,66],"images":[8,140],"according":[9],"to":[10,53,124,174],"features":[12,179],"and":[13,64,117,138],"rules":[14],"defined":[15],"by":[16,142,235],"human":[17],"beings.":[18],"results":[21,88],"are":[22],"generally":[23,89],"similar":[24],"in":[25,145,180],"contour;":[26],"however,":[27],"their":[28],"complete":[29],"semantic":[30,55,128,192,224],"information":[31],"of":[32,41,73,133,169,178],"is":[35,69,104,164],"missing.":[36],"From":[37],"user's":[39,79],"point":[40],"view,":[42],"same":[44],"hand-drawn":[45,62,74,162,236],"may":[47],"represent":[48],"many":[49,82],"different":[50,83],"things,":[51],"due":[52],"\u201cone-to-many\u201d":[56],"category":[57],"mapping":[58],"relationship":[59],"between":[60],"image,":[67],"that":[68,184,197],"inherent":[71],"ambiguity":[72],"image.":[75],"In":[76],"addition,":[77],"drawing":[80],"has":[81,201],"characteristics,":[84],"so":[85,183],"cannot":[90],"fully":[91],"match":[92],"with":[93,159,205],"his":[94],"intent.":[95],"For":[96],"above-mentioned":[98],"challenges,":[99],"a":[100,107,114,118],"personalized":[101,119,150,191,232],"SBIR":[102],"architecture":[103],"proposed,":[105],"including":[106],"deep":[108],"full":[109],"convolutional":[110],"neural":[111,186],"network":[112,187],"as":[113,166,210],"general":[115,136,199],"model":[116,120,137,151,200,219],"using":[121],"transfer":[122,171],"learning":[123,172],"achieve":[125],"fine-grained":[126,222],"feature.":[129],"On":[130],"basis":[132],"pre-trained":[135],"selected":[141],"user":[144,156],"history,":[146],"we":[147],"construct":[148],"training":[152],"dataset.":[153,216],"Moreover,":[154],"history":[157],"feedback":[158],"current":[161],"combined":[165],"input":[168],"model,":[173],"fine-tune":[175],"distribution":[177],"vector":[181,225],"space,":[182],"can":[188,220],"learn":[189],"information.":[193],"experiments":[195],"show":[196],"strong":[202],"generalization":[203],"ability":[204],"mean":[207],"average":[208],"precision":[209],"0.64":[211],"on":[212],"Flickr15":[214],"K":[215],"migration":[218],"realize":[221],"space":[226],"division,":[227],"which":[228],"perfectly":[229],"satisfies":[230],"requirements":[234],"input.":[239]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":8},{"year":2020,"cited_by_count":6},{"year":2019,"cited_by_count":2}],"updated_date":"2026-07-29T09:40:50.615796","created_date":"2025-10-10T00:00:00"}