{"id":"https://openalex.org/W2735422256","doi":"https://doi.org/10.1145/3055635.3056618","title":"Recognition of Facial Attributes Using Multi-Task Learning of Deep Networks","display_name":"Recognition of Facial Attributes Using Multi-Task Learning of Deep Networks","publication_year":2017,"publication_date":"2017-02-24","ids":{"openalex":"https://openalex.org/W2735422256","doi":"https://doi.org/10.1145/3055635.3056618","mag":"2735422256"},"language":"en","primary_location":{"id":"doi:10.1145/3055635.3056618","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3055635.3056618","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 9th International Conference on Machine Learning and Computing","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/A5011009315","display_name":"Changhun Hyun","orcid":null},"institutions":[{"id":"https://openalex.org/I31419693","display_name":"Kyungpook National University","ror":"https://ror.org/040c17130","country_code":"KR","type":"education","lineage":["https://openalex.org/I31419693"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Changhun Hyun","raw_affiliation_strings":["School of Computer Science, Kyungpook National University, Buk-gu, Daegu, The Republic of Korea"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, Kyungpook National University, Buk-gu, Daegu, The Republic of Korea","institution_ids":["https://openalex.org/I31419693"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5019279003","display_name":"Hyeyoung Park","orcid":"https://orcid.org/0000-0003-0002-9025"},"institutions":[{"id":"https://openalex.org/I31419693","display_name":"Kyungpook National University","ror":"https://ror.org/040c17130","country_code":"KR","type":"education","lineage":["https://openalex.org/I31419693"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Hyeyoung Park","raw_affiliation_strings":["School of Computer Science, Kyungpook National University, Buk-gu, Daegu, The Republic of Korea"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, Kyungpook National University, Buk-gu, Daegu, The Republic of Korea","institution_ids":["https://openalex.org/I31419693"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5011009315"],"corresponding_institution_ids":["https://openalex.org/I31419693"],"apc_list":null,"apc_paid":null,"fwci":0.182,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.55820884,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"284","last_page":"288"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","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/T11448","display_name":"Face recognition and analysis","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/T10057","display_name":"Face and Expression Recognition","score":0.9993000030517578,"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":0.9878000020980835,"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/computer-science","display_name":"Computer science","score":0.7789469957351685},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.659026563167572},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6564017534255981},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6514756679534912},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.6078159213066101},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5878649950027466},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.5710544586181641},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.5262776017189026},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.49592694640159607},{"id":"https://openalex.org/keywords/variety","display_name":"Variety (cybernetics)","score":0.4909856617450714},{"id":"https://openalex.org/keywords/multi-task-learning","display_name":"Multi-task learning","score":0.47635364532470703},{"id":"https://openalex.org/keywords/task-analysis","display_name":"Task analysis","score":0.4602052569389343},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4446905255317688},{"id":"https://openalex.org/keywords/facial-expression","display_name":"Facial expression","score":0.441326379776001},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.43949079513549805},{"id":"https://openalex.org/keywords/identity","display_name":"Identity (music)","score":0.42266520857810974}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7789469957351685},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.659026563167572},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6564017534255981},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6514756679534912},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.6078159213066101},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5878649950027466},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.5710544586181641},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.5262776017189026},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.49592694640159607},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.4909856617450714},{"id":"https://openalex.org/C28006648","wikidata":"https://www.wikidata.org/wiki/Q6934509","display_name":"Multi-task learning","level":3,"score":0.47635364532470703},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.4602052569389343},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4446905255317688},{"id":"https://openalex.org/C195704467","wikidata":"https://www.wikidata.org/wiki/Q327968","display_name":"Facial expression","level":2,"score":0.441326379776001},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.43949079513549805},{"id":"https://openalex.org/C2778355321","wikidata":"https://www.wikidata.org/wiki/Q17079427","display_name":"Identity (music)","level":2,"score":0.42266520857810974},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","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},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3055635.3056618","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3055635.3056618","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 9th International Conference on Machine Learning and Computing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6200000047683716,"display_name":"Gender equality","id":"https://metadata.un.org/sdg/5"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1573760330","https://openalex.org/W1967461346","https://openalex.org/W2040088979","https://openalex.org/W2058392805","https://openalex.org/W2094035326","https://openalex.org/W2098017479","https://openalex.org/W2145287260","https://openalex.org/W2203864774","https://openalex.org/W2475024405","https://openalex.org/W2491457278","https://openalex.org/W2912990735","https://openalex.org/W2913340405","https://openalex.org/W2963377935","https://openalex.org/W3211843254"],"related_works":["https://openalex.org/W2948333011","https://openalex.org/W4386619269","https://openalex.org/W4312745891","https://openalex.org/W1942758450","https://openalex.org/W2994972936","https://openalex.org/W2922338626","https://openalex.org/W3088045114","https://openalex.org/W2108010283","https://openalex.org/W3043585682","https://openalex.org/W4221067497"],"abstract_inverted_index":{"Face":[0],"recognition":[1,9,46,51,74],"is":[2,39,52,119],"one":[3],"of":[4,35,44,58,75,83,86,94,107,116,132,137],"important":[5],"topics":[6],"in":[7],"pattern":[8],"field.":[10],"Besides":[11],"recognizing":[12,21,101],"personal":[13],"identity,":[14],"there":[15],"have":[16],"been":[17],"numerous":[18],"studies":[19],"on":[20,100],"various":[22,76],"facial":[23,49,77,138],"attributes":[24,60,103,133],"such":[25],"as":[26],"gender,":[27],"age,":[28],"race,":[29],"and":[30,127],"expression.":[31],"Recently,":[32],"rapid":[33],"growth":[34],"deep":[36,87],"learning":[37,85,106,118,136],"techniques":[38],"leading":[40],"to":[41,56,91,121],"remarkable":[42],"improvement":[43],"face":[45],"performances.":[47],"However,":[48],"attribute":[50,139],"still":[53],"challenging":[54],"due":[55],"variety":[57],"the":[59,81,114,122],"that":[61,113],"can":[62],"be":[63],"defined":[64],"for":[65,72,134],"human":[66],"faces.":[67],"As":[68],"a":[69,129],"preliminary":[70],"work":[71],"efficient":[73],"attributes,":[78,126],"we":[79,111],"investigate":[80],"effect":[82],"multi-task":[84,105,117,135],"neural":[88,109],"networks":[89],"according":[90],"diverse":[92],"combination":[93,131],"different":[95],"attributes.":[96],"Through":[97],"computational":[98],"experiments":[99],"six":[102],"by":[104],"convolutional":[108],"networks,":[110],"show":[112],"effectiveness":[115],"related":[120],"conceptual":[123],"relationship":[124],"among":[125],"propose":[128],"proper":[130],"recognition.":[140]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
