{"id":"https://openalex.org/W4379653752","doi":"https://doi.org/10.1117/12.2680634","title":"Face attribute classification with evidential deep learning","display_name":"Face attribute classification with evidential deep learning","publication_year":2023,"publication_date":"2023-06-07","ids":{"openalex":"https://openalex.org/W4379653752","doi":"https://doi.org/10.1117/12.2680634"},"language":"en","primary_location":{"id":"doi:10.1117/12.2680634","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1117/12.2680634","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Fifteenth International Conference on Machine Vision (ICMV 2022)","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/A5092107686","display_name":"Arin Zeyneloglu","orcid":null},"institutions":[{"id":"https://openalex.org/I134235054","display_name":"Sabanc\u0131 \u00dcniversitesi","ror":"https://ror.org/049asqa32","country_code":"TR","type":"education","lineage":["https://openalex.org/I134235054"]}],"countries":["TR"],"is_corresponding":true,"raw_author_name":"Arin Zeyneloglu","raw_affiliation_strings":["Sabanci Univ. (Turkey)"],"affiliations":[{"raw_affiliation_string":"Sabanci Univ. (Turkey)","institution_ids":["https://openalex.org/I134235054"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037459105","display_name":"Sara Atito Ali Ahmed","orcid":"https://orcid.org/0000-0002-7576-5791"},"institutions":[{"id":"https://openalex.org/I28290843","display_name":"University of Surrey","ror":"https://ror.org/00ks66431","country_code":"GB","type":"education","lineage":["https://openalex.org/I28290843"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Sara Atito Ali Ahmed","raw_affiliation_strings":["Univ. of Surrey (United Kingdom)"],"affiliations":[{"raw_affiliation_string":"Univ. of Surrey (United Kingdom)","institution_ids":["https://openalex.org/I28290843"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5057031258","display_name":"Berrin Yan\u0131ko\u011flu","orcid":"https://orcid.org/0000-0001-7403-7592"},"institutions":[{"id":"https://openalex.org/I134235054","display_name":"Sabanc\u0131 \u00dcniversitesi","ror":"https://ror.org/049asqa32","country_code":"TR","type":"education","lineage":["https://openalex.org/I134235054"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Berrin Yanikoglu","raw_affiliation_strings":["Sabanci Univ. (Turkey)"],"affiliations":[{"raw_affiliation_string":"Sabanci Univ. (Turkey)","institution_ids":["https://openalex.org/I134235054"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5092107686"],"corresponding_institution_ids":["https://openalex.org/I134235054"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.05099214,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"60","last_page":"60"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","score":0.9991000294685364,"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":0.9991000294685364,"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":0.9962000250816345,"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"}},{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.995199978351593,"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/softmax-function","display_name":"Softmax function","score":0.9745489954948425},{"id":"https://openalex.org/keywords/sigmoid-function","display_name":"Sigmoid function","score":0.8726584911346436},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7393817901611328},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6866598129272461},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6791207194328308},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.6263735294342041},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.6229260563850403},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.586664617061615},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5682782530784607},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.420170396566391},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.39096009731292725}],"concepts":[{"id":"https://openalex.org/C188441871","wikidata":"https://www.wikidata.org/wiki/Q7554146","display_name":"Softmax function","level":3,"score":0.9745489954948425},{"id":"https://openalex.org/C81388566","wikidata":"https://www.wikidata.org/wiki/Q526668","display_name":"Sigmoid function","level":3,"score":0.8726584911346436},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7393817901611328},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6866598129272461},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6791207194328308},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.6263735294342041},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.6229260563850403},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.586664617061615},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5682782530784607},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.420170396566391},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.39096009731292725},{"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/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1117/12.2680634","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1117/12.2680634","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Fifteenth International Conference on Machine Vision (ICMV 2022)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4376118624","https://openalex.org/W3170224572","https://openalex.org/W2743258233","https://openalex.org/W4307834408","https://openalex.org/W4320925816","https://openalex.org/W2883041339","https://openalex.org/W2758063741","https://openalex.org/W2977314777","https://openalex.org/W3154807965","https://openalex.org/W2766634277"],"abstract_inverted_index":{"We":[0],"address":[1],"the":[2,8,25,33,37,40,44,52,56,68,76,79,86,107,115,118,123],"problem":[3],"of":[4,10,27,35,55,72,78,111,125],"uncertainty":[5,38,87,116],"quantification":[6],"in":[7,39,62,88,117],"domain":[9],"face":[11],"attribute":[12],"classification,":[13],"using":[14],"Evidential":[15],"Deep":[16],"Learning":[17],"(EDL)":[18],"framework.":[19],"The":[20,91,101],"proposed":[21,92],"EDL":[22,82,112],"approach":[23,93],"leverages":[24],"strength":[26,110],"Convolution":[28],"Neural":[29],"Networks":[30],"(CNN),":[31],"with":[32,75],"objective":[34],"representing":[36],"output":[41,53,71,119],"predictions.":[42,90],"Predominantly,":[43],"softmax/sigmoid":[45,70],"activation":[46],"functions":[47],"are":[48],"applied":[49],"to":[50,58,84,113],"map":[51],"logits":[54],"CNN":[57,74],"target":[59],"class":[60],"probabilities":[61],"multi-class":[63],"classification":[64],"problems.":[65],"By":[66],"replacing":[67],"standard":[69],"a":[73],"parameters":[77],"evidential":[80],"distribution,":[81],"learns":[83],"represent":[85],"its":[89],"is":[94],"evaluated":[95],"on":[96],"CelebA":[97],"and":[98,103,109],"LFWA":[99],"datasets.":[100],"quantitative":[102],"qualitative":[104],"analysis":[105],"demonstrate":[106],"suitability":[108],"estimate":[114],"predictions":[120],"without":[121],"hindering":[122],"accuracy":[124],"CNN-based":[126],"models.":[127]},"counts_by_year":[],"updated_date":"2025-12-22T23:10:17.713674","created_date":"2025-10-10T00:00:00"}