{"id":"https://openalex.org/W4312404006","doi":"https://doi.org/10.1109/access.2022.3215963","title":"Dual Attention Network Approaches to Face Forgery Video Detection","display_name":"Dual Attention Network Approaches to Face Forgery Video Detection","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4312404006","doi":"https://doi.org/10.1109/access.2022.3215963"},"language":"en","primary_location":{"id":"doi:10.1109/access.2022.3215963","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2022.3215963","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/9668973/09925231.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/9668973/09925231.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5040422708","display_name":"Yi-Xiang Luo","orcid":null},"institutions":[{"id":"https://openalex.org/I154864474","display_name":"National Taiwan University of Science and Technology","ror":"https://ror.org/00q09pe49","country_code":"TW","type":"education","lineage":["https://openalex.org/I154864474"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Yi-Xiang Luo","raw_affiliation_strings":["Department of Electrical Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan","institution_ids":["https://openalex.org/I154864474"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5091813828","display_name":"Jiann-Liang Chen","orcid":"https://orcid.org/0000-0003-0400-5514"},"institutions":[{"id":"https://openalex.org/I154864474","display_name":"National Taiwan University of Science and Technology","ror":"https://ror.org/00q09pe49","country_code":"TW","type":"education","lineage":["https://openalex.org/I154864474"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Jiann-Liang Chen","raw_affiliation_strings":["Department of Electrical Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan"],"raw_orcid":"https://orcid.org/0000-0003-0400-5514","affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan","institution_ids":["https://openalex.org/I154864474"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I154864474"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":2.1866,"has_fulltext":true,"cited_by_count":29,"citation_normalized_percentile":{"value":0.89222956,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"10","issue":null,"first_page":"110754","last_page":"110760"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12357","display_name":"Digital Media Forensic Detection","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/T12357","display_name":"Digital Media Forensic Detection","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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9984999895095825,"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/T11448","display_name":"Face recognition and analysis","score":0.9851999878883362,"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":0.7981276512145996},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.5931320190429688},{"id":"https://openalex.org/keywords/dual","display_name":"Dual (grammatical number)","score":0.5857029557228088},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5785772204399109},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5722858309745789},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5169945955276489},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.514120876789093},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5002317428588867},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4993419647216797},{"id":"https://openalex.org/keywords/image-warping","display_name":"Image warping","score":0.474680632352829},{"id":"https://openalex.org/keywords/reduction","display_name":"Reduction (mathematics)","score":0.472716748714447},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.43612736463546753},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.42808839678764343},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.33279895782470703},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.325683057308197},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09551945328712463}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7981276512145996},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.5931320190429688},{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.5857029557228088},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5785772204399109},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5722858309745789},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5169945955276489},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.514120876789093},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5002317428588867},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4993419647216797},{"id":"https://openalex.org/C157202957","wikidata":"https://www.wikidata.org/wiki/Q1659609","display_name":"Image warping","level":2,"score":0.474680632352829},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.472716748714447},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.43612736463546753},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.42808839678764343},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.33279895782470703},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.325683057308197},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09551945328712463},{"id":"https://openalex.org/C124952713","wikidata":"https://www.wikidata.org/wiki/Q8242","display_name":"Literature","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/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","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/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2022.3215963","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2022.3215963","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/9668973/09925231.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:d4e8647ea10f44d39ba6d08169954f9d","is_oa":true,"landing_page_url":"https://doaj.org/article/d4e8647ea10f44d39ba6d08169954f9d","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 10, Pp 110754-110760 (2022)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2022.3215963","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2022.3215963","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/9668973/09925231.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.6600000262260437,"display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4312404006.pdf","grobid_xml":"https://content.openalex.org/works/W4312404006.grobid-xml"},"referenced_works_count":28,"referenced_works":["https://openalex.org/W2154946238","https://openalex.org/W2301937176","https://openalex.org/W2531409750","https://openalex.org/W2752782242","https://openalex.org/W2884585870","https://openalex.org/W2891145043","https://openalex.org/W2909336075","https://openalex.org/W2913399670","https://openalex.org/W2914447220","https://openalex.org/W2942074357","https://openalex.org/W2959409678","https://openalex.org/W2962770929","https://openalex.org/W2963684180","https://openalex.org/W2982058372","https://openalex.org/W2984700035","https://openalex.org/W2990452356","https://openalex.org/W3007419529","https://openalex.org/W3034713808","https://openalex.org/W3124826036","https://openalex.org/W3158766194","https://openalex.org/W3174508664","https://openalex.org/W4287758545","https://openalex.org/W4304015019","https://openalex.org/W4312388562","https://openalex.org/W4312758842","https://openalex.org/W6756046522","https://openalex.org/W6762718338","https://openalex.org/W6784810453"],"related_works":["https://openalex.org/W2143630701","https://openalex.org/W2621079708","https://openalex.org/W2370766994","https://openalex.org/W2127108814","https://openalex.org/W2134569597","https://openalex.org/W1487047144","https://openalex.org/W2116300362","https://openalex.org/W1548715306","https://openalex.org/W2922188210","https://openalex.org/W2295021132"],"abstract_inverted_index":{"Forged":[0],"videos":[1],"are":[2,127],"commonly":[3],"spread":[4],"online.":[5],"Most":[6],"have":[7],"malicious":[8],"content":[9],"and":[10,51,69,90,116,122,138],"cause":[11],"serious":[12],"information":[13],"security":[14],"problems.":[15],"The":[16,103],"most":[17],"critical":[18],"issue":[19],"in":[20,30,118],"deepfake":[21],"detection":[22],"is":[23],"the":[24,59,64,71,94,97,107,119],"identification":[25],"of":[26,28,96,114,131],"traces":[27,78],"tampering":[29],"fake":[31],"videos.":[32],"This":[33,83],"study":[34,84],"designs":[35],"a":[36,45,52],"Dual":[37],"Attention":[38],"Forgery":[39],"Detection":[40],"Network":[41],"(DAFDN),":[42],"which":[43],"embeds":[44,63],"spatial":[46],"reduction":[47],"attention":[48,55,67],"block":[49],"(SRAB)":[50],"forgery":[53],"feature":[54],"module":[56],"(FFAM)":[57],"to":[58,75,92],"backbone":[60],"network.":[61],"DAFDN":[62,99,109],"two":[65,86],"proposed":[66,98,108],"mechanisms":[68],"enables":[70],"convolution":[72],"neural":[73],"network":[74],"extract":[76],"peculiar":[77],"left":[79],"by":[80],"images\u2019":[81],"warping.":[82],"uses":[85],"benchmark":[87],"datasets,":[88],"DFDC":[89,121],"FaceForensics++,":[91,123],"compare":[93],"performance":[95],"with":[100],"other":[101],"methods.":[102,140],"results":[104,126],"show":[105],"that":[106],"mechanism":[110],"achieves":[111],"AUC":[112],"scores":[113],"0.911":[115],"0.945":[117],"datasets":[120],"respectively.":[124],"These":[125],"better":[128],"than":[129],"those":[130],"previously":[132],"developed":[133],"methods,":[134],"such":[135],"as":[136],"XceptionNet":[137],"EfficientNet-related":[139]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":11},{"year":2024,"cited_by_count":14},{"year":2023,"cited_by_count":2}],"updated_date":"2026-07-17T09:13:05.818461","created_date":"2025-10-10T00:00:00"}
