{"id":"https://openalex.org/W1432090866","doi":"https://doi.org/10.1145/2736277.2741112","title":"Tagging Personal Photos with Transfer Deep Learning","display_name":"Tagging Personal Photos with Transfer Deep Learning","publication_year":2015,"publication_date":"2015-05-18","ids":{"openalex":"https://openalex.org/W1432090866","doi":"https://doi.org/10.1145/2736277.2741112","mag":"1432090866"},"language":"en","primary_location":{"id":"doi:10.1145/2736277.2741112","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2736277.2741112","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 24th International Conference on World Wide Web","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/A5072029041","display_name":"Jianlong Fu","orcid":"https://orcid.org/0000-0002-1025-2012"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianlong Fu","raw_affiliation_strings":["National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China","National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210112150","https://openalex.org/I19820366"]},{"raw_affiliation_string":"National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences Beijing, China","institution_ids":["https://openalex.org/I4210112150","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017597537","display_name":"Tao Mei","orcid":"https://orcid.org/0000-0003-2497-7732"},"institutions":[{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]},{"id":"https://openalex.org/I4210113369","display_name":"Microsoft Research Asia (China)","ror":"https://ror.org/0300m5276","country_code":"CN","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210113369"]}],"countries":["CN","US"],"is_corresponding":false,"raw_author_name":"Tao Mei","raw_affiliation_strings":["Microsoft Research, Beijing, China","Microsoft Research, , Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Microsoft Research, Beijing, China","institution_ids":["https://openalex.org/I4210113369"]},{"raw_affiliation_string":"Microsoft Research, , Beijing, China","institution_ids":["https://openalex.org/I1290206253"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023035795","display_name":"Kuiyuan Yang","orcid":"https://orcid.org/0000-0003-3063-2925"},"institutions":[{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]},{"id":"https://openalex.org/I4210113369","display_name":"Microsoft Research Asia (China)","ror":"https://ror.org/0300m5276","country_code":"CN","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210113369"]}],"countries":["CN","US"],"is_corresponding":false,"raw_author_name":"Kuiyuan Yang","raw_affiliation_strings":["Microsoft Research, Beijing, China","Microsoft Research, , Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Microsoft Research, Beijing, China","institution_ids":["https://openalex.org/I4210113369"]},{"raw_affiliation_string":"Microsoft Research, , Beijing, China","institution_ids":["https://openalex.org/I1290206253"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100511737","display_name":"Hanqing Lu","orcid":"https://orcid.org/0000-0001-9506-3407"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hanqing Lu","raw_affiliation_strings":["National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China","National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210112150","https://openalex.org/I19820366"]},{"raw_affiliation_string":"National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences Beijing, China","institution_ids":["https://openalex.org/I4210112150","https://openalex.org/I19820366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100728762","display_name":"Yong Rui","orcid":"https://orcid.org/0000-0002-9142-5914"},"institutions":[{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]},{"id":"https://openalex.org/I4210113369","display_name":"Microsoft Research Asia (China)","ror":"https://ror.org/0300m5276","country_code":"CN","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210113369"]}],"countries":["CN","US"],"is_corresponding":false,"raw_author_name":"Yong Rui","raw_affiliation_strings":["Microsoft Research, Beijing, China","Microsoft Research, , Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Microsoft Research, Beijing, China","institution_ids":["https://openalex.org/I4210113369"]},{"raw_affiliation_string":"Microsoft Research, , Beijing, China","institution_ids":["https://openalex.org/I1290206253"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.1826,"has_fulltext":false,"cited_by_count":34,"citation_normalized_percentile":{"value":0.94428037,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"344","last_page":"354"},"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":0.9998000264167786,"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":0.9998000264167786,"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":0.9970999956130981,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9962999820709229,"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":0.8062103986740112},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.6151682138442993},{"id":"https://openalex.org/keywords/ontology","display_name":"Ontology","score":0.5800535678863525},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5700048208236694},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.5131152272224426},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.4518279433250427},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.44933128356933594},{"id":"https://openalex.org/keywords/vocabulary","display_name":"Vocabulary","score":0.4419686496257782},{"id":"https://openalex.org/keywords/tag-cloud","display_name":"Tag cloud","score":0.433610200881958},{"id":"https://openalex.org/keywords/multimedia","display_name":"Multimedia","score":0.3556446433067322},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3318490982055664},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.18732410669326782}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8062103986740112},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.6151682138442993},{"id":"https://openalex.org/C25810664","wikidata":"https://www.wikidata.org/wiki/Q44325","display_name":"Ontology","level":2,"score":0.5800535678863525},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5700048208236694},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.5131152272224426},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.4518279433250427},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.44933128356933594},{"id":"https://openalex.org/C2777601683","wikidata":"https://www.wikidata.org/wiki/Q6499736","display_name":"Vocabulary","level":2,"score":0.4419686496257782},{"id":"https://openalex.org/C26983874","wikidata":"https://www.wikidata.org/wiki/Q263864","display_name":"Tag cloud","level":3,"score":0.433610200881958},{"id":"https://openalex.org/C49774154","wikidata":"https://www.wikidata.org/wiki/Q131765","display_name":"Multimedia","level":1,"score":0.3556446433067322},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3318490982055664},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.18732410669326782},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"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/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/2736277.2741112","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2736277.2741112","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 24th International Conference on World Wide Web","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.695.3904","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.695.3904","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.www2015.it/documents/proceedings/proceedings/p344.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W22861983","https://openalex.org/W1532257412","https://openalex.org/W1989656639","https://openalex.org/W2007972815","https://openalex.org/W2025328853","https://openalex.org/W2031342017","https://openalex.org/W2043228833","https://openalex.org/W2072128103","https://openalex.org/W2100476178","https://openalex.org/W2107215754","https://openalex.org/W2108598243","https://openalex.org/W2125060421","https://openalex.org/W2127292559","https://openalex.org/W2127586137","https://openalex.org/W2131846894","https://openalex.org/W2132852291","https://openalex.org/W2136655611","https://openalex.org/W2137569015","https://openalex.org/W2149466042","https://openalex.org/W2151103935","https://openalex.org/W2157465536","https://openalex.org/W2161381512","https://openalex.org/W2161969291","https://openalex.org/W2163605009","https://openalex.org/W2165935688","https://openalex.org/W2168951883","https://openalex.org/W2253807446","https://openalex.org/W2536305071","https://openalex.org/W2913081710","https://openalex.org/W4230472795","https://openalex.org/W4231109964"],"related_works":["https://openalex.org/W4206357785","https://openalex.org/W4281381188","https://openalex.org/W3192840557","https://openalex.org/W2951211570","https://openalex.org/W4375928479","https://openalex.org/W3167935049","https://openalex.org/W3023427754","https://openalex.org/W3131673289","https://openalex.org/W3198847674","https://openalex.org/W3096913503"],"abstract_inverted_index":{"The":[0,227],"advent":[1],"of":[2,15,20,29,118,238,244],"mobile":[3],"devices":[4],"and":[5,70,82,140,158,166,179,191,195,217,240,252],"media":[6],"cloud":[7],"services":[8],"has":[9,37],"led":[10],"to":[11,63,101,106,203,233],"the":[12,21,26,64,77,108,148,154,176,183,198,222,248],"unprecedented":[13],"growing":[14],"personal":[16,60,68,103,124,180,209,215,218],"photo":[17,205,210,219,225],"collections.":[18,206],"One":[19],"fundamental":[22],"problems":[23],"in":[24,79,90,134,193,242],"managing":[25],"increasing":[27],"number":[28],"photos":[30,61,69,139,181,216],"is":[31,128,200,231],"automatic":[32],"image":[33,48,156],"tagging.":[34],"Existing":[35],"research":[36],"predominantly":[38],"focused":[39],"on":[40,59,212,221],"tagging":[41,194,211,229],"general":[42],"Web":[43,71,173],"images":[44,174],"with":[45,87,136,147,164],"a":[46,95,119,235],"well-labelled":[47],"database,":[49],"e.g.,":[50],"ImageNet.":[51],"However,":[52],"they":[53],"can":[54],"only":[55],"achieve":[56,234],"limited":[57],"success":[58],"due":[62],"domain":[65,178],"gaps":[66,74],"between":[67],"images.":[72],"These":[73],"originate":[75],"from":[76,130],"differences":[78],"semantic":[80,109],"distribution":[81,110],"visual":[83,149],"appearance.":[84],"To":[85,145],"deal":[86,146],"these":[88],"challenges,":[89],"this":[91],"paper,":[92],"we":[93,112,152,186],"present":[94,187],"novel":[96],"transfer":[97],"deep":[98,162,253],"learning":[99,163],"approach":[100,230],"tag":[102,204],"photos.":[104,125],"Specifically,":[105],"solve":[107],"gap,":[111,151],"have":[113],"designed":[114],"an":[115],"ontology":[116,127,159],"consisting":[117],"hierarchical":[120],"vocabulary":[121],"tailored":[122],"for":[123],"This":[126],"mined":[129],"$10,000$":[131],"active":[132],"users":[133],"Flickr":[135],"20":[137],"million":[138,142],"2.7":[141],"unique":[143],"tags.":[144],"appearance":[150],"discover":[153],"intermediate":[155],"representations":[157],"priors":[160],"by":[161],"bottom-up":[165],"top-down":[167],"transfers":[168],"across":[169],"two":[170,188],"domains,":[171],"where":[172],"are":[175,182],"source":[177],"target.":[184],"Moreover,":[185],"modes":[189],"(single":[190],"batch-modes)":[192],"find":[196],"that":[197],"batch-mode":[199],"highly":[201],"effective":[202],"We":[207],"conducted":[208],"7,000":[213],"real":[214],"search":[220],"MIT-Adobe":[223],"FiveK":[224],"dataset.":[226],"proposed":[228],"able":[232],"performance":[236],"gain":[237],"$12.8\\%$":[239],"$4.5\\%$":[241],"terms":[243],"[email":[245],"protected],":[246],"against":[247],"state-of-the-art":[249],"hand-crafted":[250],"feature-based":[251],"learning-based":[254],"methods,":[255],"respectively.":[256]},"counts_by_year":[{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":6},{"year":2017,"cited_by_count":7},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":3}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}