{"id":"https://openalex.org/W4312706614","doi":"https://doi.org/10.1109/icpr56361.2022.9956492","title":"Dynamic Attention based Domain Generalization for Face Anti-Spoofing","display_name":"Dynamic Attention based Domain Generalization for Face Anti-Spoofing","publication_year":2022,"publication_date":"2022-08-21","ids":{"openalex":"https://openalex.org/W4312706614","doi":"https://doi.org/10.1109/icpr56361.2022.9956492"},"language":"en","primary_location":{"id":"doi:10.1109/icpr56361.2022.9956492","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr56361.2022.9956492","pdf_url":null,"source":{"id":"https://openalex.org/S4363607731","display_name":"2022 26th International Conference on Pattern Recognition (ICPR)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 26th International Conference on Pattern Recognition (ICPR)","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/A5100394010","display_name":"Sheng Zhang","orcid":"https://orcid.org/0000-0002-1993-1660"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Sheng Zhang","raw_affiliation_strings":["Xiamen University,School of Informatics","School of Informatics, Xiamen University"],"affiliations":[{"raw_affiliation_string":"Xiamen University,School of Informatics","institution_ids":["https://openalex.org/I191208505"]},{"raw_affiliation_string":"School of Informatics, Xiamen University","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022967503","display_name":"Zhibin Gao","orcid":"https://orcid.org/0000-0003-1878-9065"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhibin Gao","raw_affiliation_strings":["Xiamen University,School of Informatics","School of Informatics, Xiamen University"],"affiliations":[{"raw_affiliation_string":"Xiamen University,School of Informatics","institution_ids":["https://openalex.org/I191208505"]},{"raw_affiliation_string":"School of Informatics, Xiamen University","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065336950","display_name":"Yunhao Lin","orcid":null},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yunhao Lin","raw_affiliation_strings":["Xiamen University,School of Informatics","School of Informatics, Xiamen University"],"affiliations":[{"raw_affiliation_string":"Xiamen University,School of Informatics","institution_ids":["https://openalex.org/I191208505"]},{"raw_affiliation_string":"School of Informatics, Xiamen University","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032017736","display_name":"Yuhang Lu","orcid":"https://orcid.org/0000-0002-1072-3443"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuhang Lu","raw_affiliation_strings":["Xiamen University,School of Informatics","School of Informatics, Xiamen University"],"affiliations":[{"raw_affiliation_string":"Xiamen University,School of Informatics","institution_ids":["https://openalex.org/I191208505"]},{"raw_affiliation_string":"School of Informatics, Xiamen University","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5019883648","display_name":"Lianfen Huang","orcid":"https://orcid.org/0000-0003-1620-1504"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lianfen Huang","raw_affiliation_strings":["Xiamen University,School of Informatics","School of Informatics, Xiamen University"],"affiliations":[{"raw_affiliation_string":"Xiamen University,School of Informatics","institution_ids":["https://openalex.org/I191208505"]},{"raw_affiliation_string":"School of Informatics, Xiamen University","institution_ids":["https://openalex.org/I191208505"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100394010"],"corresponding_institution_ids":["https://openalex.org/I191208505"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.13775671,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"3413","last_page":"3421"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10828","display_name":"Biometric Identification and Security","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10828","display_name":"Biometric Identification and Security","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T11448","display_name":"Face recognition and analysis","score":0.9957000017166138,"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/T12357","display_name":"Digital Media Forensic Detection","score":0.991599977016449,"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/spoofing-attack","display_name":"Spoofing attack","score":0.7810655832290649},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7637548446655273},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6124400496482849},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.5718114376068115},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.5255117416381836},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5142061710357666},{"id":"https://openalex.org/keywords/decoupling","display_name":"Decoupling (probability)","score":0.5093332529067993},{"id":"https://openalex.org/keywords/invariant","display_name":"Invariant (physics)","score":0.4912187457084656},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.490681529045105},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.4770571291446686},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.44536393880844116},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.42355048656463623},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4133765697479248},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.32951247692108154},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.17519205808639526},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.07667195796966553}],"concepts":[{"id":"https://openalex.org/C167900197","wikidata":"https://www.wikidata.org/wiki/Q11081100","display_name":"Spoofing attack","level":2,"score":0.7810655832290649},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7637548446655273},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6124400496482849},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.5718114376068115},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.5255117416381836},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5142061710357666},{"id":"https://openalex.org/C205606062","wikidata":"https://www.wikidata.org/wiki/Q5249645","display_name":"Decoupling (probability)","level":2,"score":0.5093332529067993},{"id":"https://openalex.org/C190470478","wikidata":"https://www.wikidata.org/wiki/Q2370229","display_name":"Invariant (physics)","level":2,"score":0.4912187457084656},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.490681529045105},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.4770571291446686},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.44536393880844116},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.42355048656463623},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4133765697479248},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.32951247692108154},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17519205808639526},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.07667195796966553},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C37914503","wikidata":"https://www.wikidata.org/wiki/Q156495","display_name":"Mathematical physics","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/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0},{"id":"https://openalex.org/C133731056","wikidata":"https://www.wikidata.org/wiki/Q4917288","display_name":"Control engineering","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icpr56361.2022.9956492","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr56361.2022.9956492","pdf_url":null,"source":{"id":"https://openalex.org/S4363607731","display_name":"2022 26th International Conference on Pattern Recognition (ICPR)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 26th International Conference on Pattern Recognition (ICPR)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":52,"referenced_works":["https://openalex.org/W1704933117","https://openalex.org/W1770095230","https://openalex.org/W1835705677","https://openalex.org/W1982209341","https://openalex.org/W1995378829","https://openalex.org/W2003092530","https://openalex.org/W2031342017","https://openalex.org/W2095252718","https://openalex.org/W2118392996","https://openalex.org/W2145131129","https://openalex.org/W2163487272","https://openalex.org/W2163605009","https://openalex.org/W2165043427","https://openalex.org/W2194775991","https://openalex.org/W2341318667","https://openalex.org/W2341528187","https://openalex.org/W2510926985","https://openalex.org/W2511115389","https://openalex.org/W2549139847","https://openalex.org/W2728977829","https://openalex.org/W2752782242","https://openalex.org/W2776778982","https://openalex.org/W2885013511","https://openalex.org/W2946566846","https://openalex.org/W2952476201","https://openalex.org/W2956066883","https://openalex.org/W2957874408","https://openalex.org/W2963656031","https://openalex.org/W2969289739","https://openalex.org/W2989045104","https://openalex.org/W2998163473","https://openalex.org/W3005726865","https://openalex.org/W3005973417","https://openalex.org/W3006377070","https://openalex.org/W3035263140","https://openalex.org/W3092393585","https://openalex.org/W3101998545","https://openalex.org/W3121614789","https://openalex.org/W3132178755","https://openalex.org/W3163491509","https://openalex.org/W3174133171","https://openalex.org/W3174488394","https://openalex.org/W3183943918","https://openalex.org/W3193016045","https://openalex.org/W6637339757","https://openalex.org/W6674016869","https://openalex.org/W6684157366","https://openalex.org/W6684191040","https://openalex.org/W6684314024","https://openalex.org/W6754206849","https://openalex.org/W6765714711","https://openalex.org/W6797459180"],"related_works":["https://openalex.org/W2188559950","https://openalex.org/W2989910292","https://openalex.org/W2998478967","https://openalex.org/W3128793638","https://openalex.org/W2123299109","https://openalex.org/W2021230337","https://openalex.org/W4401097268","https://openalex.org/W2607818178","https://openalex.org/W3153057489","https://openalex.org/W3012240659"],"abstract_inverted_index":{"Most":[0],"existing":[1],"face":[2,47,56,102,113],"anti-spoofing":[3,48],"methods":[4,45,74],"get":[5],"excellent":[6],"results":[7],"in":[8,13,86],"the":[9,14,17,24,61,70,105,111,125,128,132,143,149,192,209,214],"intra-dataset":[10],"experiments.":[11],"However,":[12,50],"cross-dataset":[15],"experiments,":[16],"performance":[18,126],"may":[19,63],"decline":[20],"sharply":[21],"due":[22],"to":[23,80,147,181,190,207],"change":[25],"of":[26,69,110,127,134,152,195,213],"lighting":[27],"condition,":[28],"spoofing":[29,82],"type,":[30],"camera":[31],"and":[32,114,154,176],"other":[33],"factors.":[34],"To":[35,137],"solve":[36],"this":[37,90,139],"issue,":[38],"many":[39],"researchers":[40],"have":[41,76],"proposed":[42,106,215],"domain":[43,98],"generalization":[44,78,99,211],"for":[46,101],"task.":[49],"most":[51],"approaches":[52],"simply":[53],"take":[54],"full":[55,112],"image":[57],"as":[58,119],"input,":[59],"thus":[60],"model":[62],"focus":[64],"on":[65],"a":[66,94,165,186],"fixed":[67],"area":[68],"face.":[71],"So":[72],"these":[73],"still":[75],"poor":[77],"ability":[79,212],"local":[81,117,135],"attacks":[83],"(as":[84],"shown":[85],"Fig.":[87],"1).":[88],"In":[89,179],"paper,":[91],"we":[92,122,141,163,184],"propose":[93,185],"dynamic":[95],"attention":[96],"based":[97],"method":[100,107],"anti-spoofing.":[103],"Specifically,":[104],"takes":[108],"both":[109],"randomly":[115],"selected":[116],"region":[118],"inputs.":[120],"Moreover,":[121,162],"discover":[123],"that":[124,170],"network":[129],"changes":[130],"with":[131],"position":[133],"input.":[136],"handle":[138],"problem,":[140],"utilize":[142],"designed":[144],"Gaussian":[145],"function":[146,189],"fit":[148],"changing":[150],"pattern":[151],"performance,":[153],"apply":[155],"it":[156],"into":[157,174],"weighted":[158],"cross-entropy":[159],"loss":[160],"function.":[161],"introduce":[164],"Feature":[166],"Decoupling":[167],"Module":[168],"(FDM)":[169],"can":[171],"decouple":[172,182],"features":[173,194,201],"domain-invariant":[175,193],"domain-specific":[177,200],"features.":[178],"order":[180],"correctly,":[183],"Style":[187],"Loss":[188],"constrain":[191],"different":[196],"samples":[197],"aggregated,":[198],"while":[199],"separated.":[202],"Extensive":[203],"experiments":[204],"are":[205],"conducted":[206],"show":[208],"superior":[210],"method.":[216]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}