{"id":"https://openalex.org/W4321020685","doi":"https://doi.org/10.1109/fg57933.2023.10042669","title":"Octuplet Loss: Make Face Recognition Robust to Image Resolution","display_name":"Octuplet Loss: Make Face Recognition Robust to Image Resolution","publication_year":2023,"publication_date":"2023-01-05","ids":{"openalex":"https://openalex.org/W4321020685","doi":"https://doi.org/10.1109/fg57933.2023.10042669"},"language":"en","primary_location":{"id":"doi:10.1109/fg57933.2023.10042669","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fg57933.2023.10042669","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 17th International Conference on Automatic Face and Gesture Recognition (FG)","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://mediatum.ub.tum.de/1702382","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5083647462","display_name":"Martin Knoche","orcid":"https://orcid.org/0000-0002-0503-4600"},"institutions":[{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Martin Knoche","raw_affiliation_strings":["Technical University of Munich,Germany","Technical University of Munich, Germany"],"affiliations":[{"raw_affiliation_string":"Technical University of Munich,Germany","institution_ids":["https://openalex.org/I62916508"]},{"raw_affiliation_string":"Technical University of Munich, Germany","institution_ids":["https://openalex.org/I62916508"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032896616","display_name":"Mohamed Elkadeem","orcid":null},"institutions":[{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Mohamed Elkadeem","raw_affiliation_strings":["Technical University of Munich,Germany","Technical University of Munich, Germany"],"affiliations":[{"raw_affiliation_string":"Technical University of Munich,Germany","institution_ids":["https://openalex.org/I62916508"]},{"raw_affiliation_string":"Technical University of Munich, Germany","institution_ids":["https://openalex.org/I62916508"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031810609","display_name":"Stefan H\u00f6rmann","orcid":"https://orcid.org/0000-0002-0086-340X"},"institutions":[{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Stefan Hormann","raw_affiliation_strings":["Technical University of Munich,Germany","Technical University of Munich, Germany"],"affiliations":[{"raw_affiliation_string":"Technical University of Munich,Germany","institution_ids":["https://openalex.org/I62916508"]},{"raw_affiliation_string":"Technical University of Munich, Germany","institution_ids":["https://openalex.org/I62916508"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5039092855","display_name":"Gerhard Rigoll","orcid":"https://orcid.org/0000-0003-1096-1596"},"institutions":[{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Gerhard Rigoll","raw_affiliation_strings":["Technical University of Munich,Germany","Technical University of Munich, Germany"],"affiliations":[{"raw_affiliation_string":"Technical University of Munich,Germany","institution_ids":["https://openalex.org/I62916508"]},{"raw_affiliation_string":"Technical University of Munich, Germany","institution_ids":["https://openalex.org/I62916508"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5083647462"],"corresponding_institution_ids":["https://openalex.org/I62916508"],"apc_list":null,"apc_paid":null,"fwci":2.18362008,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.84362298,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","score":0.9998999834060669,"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":0.9998999834060669,"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/T11105","display_name":"Advanced Image Processing Techniques","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"}},{"id":"https://openalex.org/T12301","display_name":"Facial Nerve Paralysis Treatment and Research","score":0.9940000176429749,"subfield":{"id":"https://openalex.org/subfields/2728","display_name":"Neurology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.8081868886947632},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.8074090480804443},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7793117761611938},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.6492462158203125},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.5844764113426208},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5663469433784485},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.5337345004081726},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5154074430465698},{"id":"https://openalex.org/keywords/high-resolution","display_name":"High resolution","score":0.45831578969955444},{"id":"https://openalex.org/keywords/source-code","display_name":"Source code","score":0.43953120708465576},{"id":"https://openalex.org/keywords/resolution","display_name":"Resolution (logic)","score":0.4369141161441803},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.4354194402694702},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3866245746612549},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3539544641971588},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3248743414878845}],"concepts":[{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.8081868886947632},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.8074090480804443},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7793117761611938},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.6492462158203125},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.5844764113426208},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5663469433784485},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.5337345004081726},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5154074430465698},{"id":"https://openalex.org/C3020199158","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"High resolution","level":2,"score":0.45831578969955444},{"id":"https://openalex.org/C43126263","wikidata":"https://www.wikidata.org/wiki/Q128751","display_name":"Source code","level":2,"score":0.43953120708465576},{"id":"https://openalex.org/C138268822","wikidata":"https://www.wikidata.org/wiki/Q1051925","display_name":"Resolution (logic)","level":2,"score":0.4369141161441803},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.4354194402694702},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3866245746612549},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3539544641971588},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3248743414878845},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","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/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/fg57933.2023.10042669","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fg57933.2023.10042669","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 17th International Conference on Automatic Face and Gesture Recognition (FG)","raw_type":"proceedings-article"},{"id":"pmh:oai:mediatum.ub.tum.de:node/1702382","is_oa":true,"landing_page_url":"https://mediatum.ub.tum.de/1702382","pdf_url":null,"source":{"id":"https://openalex.org/S4377196330","display_name":"mediaTUM  (Technical University of Munich)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I62916508","host_organization_name":"Technical University of Munich","host_organization_lineage":["https://openalex.org/I62916508"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"ConferencePaper"}],"best_oa_location":{"id":"pmh:oai:mediatum.ub.tum.de:node/1702382","is_oa":true,"landing_page_url":"https://mediatum.ub.tum.de/1702382","pdf_url":null,"source":{"id":"https://openalex.org/S4377196330","display_name":"mediaTUM  (Technical University of Munich)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I62916508","host_organization_name":"Technical University of Munich","host_organization_lineage":["https://openalex.org/I62916508"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"ConferencePaper"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":74,"referenced_works":["https://openalex.org/W2096733369","https://openalex.org/W2146502635","https://openalex.org/W2194775991","https://openalex.org/W2325939864","https://openalex.org/W2341528187","https://openalex.org/W2404498690","https://openalex.org/W2510798689","https://openalex.org/W2515770085","https://openalex.org/W2557864411","https://openalex.org/W2598634450","https://openalex.org/W2663800299","https://openalex.org/W2736633948","https://openalex.org/W2747329762","https://openalex.org/W2752828042","https://openalex.org/W2792481260","https://openalex.org/W2798691622","https://openalex.org/W2807403593","https://openalex.org/W2883638418","https://openalex.org/W2895749211","https://openalex.org/W2899282387","https://openalex.org/W2901505625","https://openalex.org/W2914057590","https://openalex.org/W2923205827","https://openalex.org/W2938076880","https://openalex.org/W2946137858","https://openalex.org/W2963163009","https://openalex.org/W2963671154","https://openalex.org/W2964167901","https://openalex.org/W2965774906","https://openalex.org/W2969656782","https://openalex.org/W2969985801","https://openalex.org/W2970747919","https://openalex.org/W2979639244","https://openalex.org/W2993074870","https://openalex.org/W2995107004","https://openalex.org/W2997600418","https://openalex.org/W2997694845","https://openalex.org/W2997717736","https://openalex.org/W3009587015","https://openalex.org/W3014771563","https://openalex.org/W3024539255","https://openalex.org/W3038819596","https://openalex.org/W3080089353","https://openalex.org/W3083173069","https://openalex.org/W3083181373","https://openalex.org/W3091218347","https://openalex.org/W3101998545","https://openalex.org/W3104862300","https://openalex.org/W3106153666","https://openalex.org/W3138860596","https://openalex.org/W3151034650","https://openalex.org/W3161162429","https://openalex.org/W3162474807","https://openalex.org/W3166547919","https://openalex.org/W3169033924","https://openalex.org/W3169129566","https://openalex.org/W3169156157","https://openalex.org/W3180990325","https://openalex.org/W3187719676","https://openalex.org/W3194367448","https://openalex.org/W3201377238","https://openalex.org/W3216363079","https://openalex.org/W3217015638","https://openalex.org/W3217228024","https://openalex.org/W4205467938","https://openalex.org/W4226019955","https://openalex.org/W4312437435","https://openalex.org/W6681435938","https://openalex.org/W6725456406","https://openalex.org/W6726453277","https://openalex.org/W6735531217","https://openalex.org/W6752018158","https://openalex.org/W6757817989","https://openalex.org/W6788757213"],"related_works":["https://openalex.org/W2787993192","https://openalex.org/W2158269427","https://openalex.org/W4381280689","https://openalex.org/W3033859939","https://openalex.org/W2847365777","https://openalex.org/W2355048207","https://openalex.org/W3126051647","https://openalex.org/W2750422482","https://openalex.org/W3125827053","https://openalex.org/W3128025644"],"abstract_inverted_index":{"Image":[0],"resolution,":[1],"or":[2],"in":[3,11],"general,":[4],"image":[5,37],"quality,":[6],"plays":[7],"an":[8],"essential":[9],"role":[10],"the":[12,29,51,92,102,111,119,123,151],"performance":[13,79,93],"of":[14,28,41,150],"today's":[15],"face":[16,43,84,107,125],"recognition":[17,44],"systems.":[18],"To":[19],"address":[20],"this":[21],"problem,":[22],"we":[23,49,75],"propose":[24],"a":[25],"novel":[26],"combination":[27],"popular":[30],"triplet":[31],"loss":[32,153],"to":[33,146],"improve":[34],"robustness":[35],"against":[36],"resolution":[38,96],"via":[39],"fine-tuning":[40],"existing":[42,155],"models.":[45],"With":[46],"octuplet":[47,152],"loss,":[48],"leverage":[50],"relationship":[52],"between":[53],"high-resolution":[54],"images":[55],"and":[56],"their":[57,63],"synthetically":[58],"down-sampled":[59],"variants":[60],"jointly":[61],"with":[62,70],"identity":[64],"labels.":[65],"Fine-tuning":[66],"several":[67],"state-of-the-art":[68],"approaches":[69],"our":[71,130,134],"method":[72,99],"proves":[73],"that":[74],"can":[76],"significantly":[77],"boost":[78],"for":[80],"cross-resolution":[81],"(high-to-low":[82],"resolution)":[83],"verification":[85,108,126],"on":[86,94,101,110,118,144],"various":[87],"datasets":[88],"without":[89],"meaningfully":[90],"exacerbating":[91],"high-to-high":[95],"images.":[97],"Our":[98],"applied":[100],"FaceTransformer":[103],"network":[104],"achieves":[105],"95.12%":[106],"accuracy":[109,127],"challenging":[112],"XQLFW":[113],"dataset":[114],"while":[115],"reaching":[116],"99.73%":[117],"LFW":[120],"database.":[121],"Moreover,":[122],"low-to-low":[124],"benefits":[128],"from":[129],"method.":[131],"We":[132],"release":[133],"code":[135],"<sup":[136,139],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[137,140],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">1</sup>":[138,141],"Code":[142],"available":[143],"https://github.com/Martlgap/octuplet-loss":[145],"allow":[147],"seamless":[148],"integration":[149],"into":[154],"frameworks.":[156]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":5}],"updated_date":"2026-02-09T09:26:11.010843","created_date":"2025-10-10T00:00:00"}
