{"id":"https://openalex.org/W4400490476","doi":"https://doi.org/10.1109/cscwd61410.2024.10580515","title":"DST-FRD: A Distillation Method of Swin Transformer for Facial Reenactment Detection","display_name":"DST-FRD: A Distillation Method of Swin Transformer for Facial Reenactment Detection","publication_year":2024,"publication_date":"2024-05-08","ids":{"openalex":"https://openalex.org/W4400490476","doi":"https://doi.org/10.1109/cscwd61410.2024.10580515"},"language":"en","primary_location":{"id":"doi:10.1109/cscwd61410.2024.10580515","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/cscwd61410.2024.10580515","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 27th International Conference on Computer Supported Cooperative Work in Design (CSCWD)","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/A5020369346","display_name":"Haotian Wu","orcid":"https://orcid.org/0000-0003-0597-4835"},"institutions":[{"id":"https://openalex.org/I4210156404","display_name":"Institute of Information Engineering","ror":"https://ror.org/04r53se39","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210156404"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Haotian Wu","raw_affiliation_strings":["Chinese Academy of Sciences,Institute of Information Engineering,Beijing,China"],"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences,Institute of Information Engineering,Beijing,China","institution_ids":["https://openalex.org/I4210156404","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100402101","display_name":"Yu Chen","orcid":"https://orcid.org/0000-0003-1222-3204"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yu Chen","raw_affiliation_strings":["Beijing Digital Education Center,Beijing,China"],"affiliations":[{"raw_affiliation_string":"Beijing Digital Education Center,Beijing,China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100328117","display_name":"Xin Wang","orcid":"https://orcid.org/0000-0003-3352-6829"},"institutions":[{"id":"https://openalex.org/I4210156404","display_name":"Institute of Information Engineering","ror":"https://ror.org/04r53se39","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210156404"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xin Wang","raw_affiliation_strings":["Chinese Academy of Sciences,Institute of Information Engineering,Beijing,China"],"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences,Institute of Information Engineering,Beijing,China","institution_ids":["https://openalex.org/I4210156404","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5107941075","display_name":"Lin Wang","orcid":"https://orcid.org/0000-0003-2116-9027"},"institutions":[{"id":"https://openalex.org/I4210156404","display_name":"Institute of Information Engineering","ror":"https://ror.org/04r53se39","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210156404"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lin Wang","raw_affiliation_strings":["Chinese Academy of Sciences,Institute of Information Engineering,Beijing,China"],"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences,Institute of Information Engineering,Beijing,China","institution_ids":["https://openalex.org/I4210156404","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100718017","display_name":"Xiang Ji","orcid":"https://orcid.org/0000-0002-7234-6460"},"institutions":[{"id":"https://openalex.org/I4210156404","display_name":"Institute of Information Engineering","ror":"https://ror.org/04r53se39","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210156404"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ji Xiang","raw_affiliation_strings":["Chinese Academy of Sciences,Institute of Information Engineering,Beijing,China"],"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences,Institute of Information Engineering,Beijing,China","institution_ids":["https://openalex.org/I4210156404","https://openalex.org/I19820366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102703989","display_name":"Liyue Ren","orcid":null},"institutions":[{"id":"https://openalex.org/I4210156404","display_name":"Institute of Information Engineering","ror":"https://ror.org/04r53se39","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210156404"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liyue Ren","raw_affiliation_strings":["Chinese Academy of Sciences,Institute of Information Engineering,Beijing,China"],"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences,Institute of Information Engineering,Beijing,China","institution_ids":["https://openalex.org/I4210156404","https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5020369346"],"corresponding_institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210156404"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.09449323,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"2","issue":null,"first_page":"2010","last_page":"2015"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","score":0.9764000177383423,"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":0.9764000177383423,"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":0.9178000092506409,"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/distillation","display_name":"Distillation","score":0.6164473295211792},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.578900158405304},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5233268737792969},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4556553363800049},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3865854740142822},{"id":"https://openalex.org/keywords/chromatography","display_name":"Chromatography","score":0.13564828038215637},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1295253038406372},{"id":"https://openalex.org/keywords/chemistry","display_name":"Chemistry","score":0.11532372236251831},{"id":"https://openalex.org/keywords/voltage","display_name":"Voltage","score":0.09424212574958801},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.08102801442146301}],"concepts":[{"id":"https://openalex.org/C204030448","wikidata":"https://www.wikidata.org/wiki/Q101017","display_name":"Distillation","level":2,"score":0.6164473295211792},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.578900158405304},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5233268737792969},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4556553363800049},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3865854740142822},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.13564828038215637},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1295253038406372},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.11532372236251831},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.09424212574958801},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.08102801442146301}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cscwd61410.2024.10580515","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/cscwd61410.2024.10580515","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 27th International Conference on Computer Supported Cooperative Work in Design (CSCWD)","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":21,"referenced_works":["https://openalex.org/W1821462560","https://openalex.org/W2174309130","https://openalex.org/W2301937176","https://openalex.org/W2418633638","https://openalex.org/W2607927535","https://openalex.org/W2962958939","https://openalex.org/W2982058372","https://openalex.org/W3022863848","https://openalex.org/W3034196597","https://openalex.org/W3034552680","https://openalex.org/W3034713808","https://openalex.org/W3034900344","https://openalex.org/W3094502228","https://openalex.org/W3138516171","https://openalex.org/W3175515048","https://openalex.org/W4205695807","https://openalex.org/W4240805545","https://openalex.org/W4312344445","https://openalex.org/W6638523607","https://openalex.org/W6784333009","https://openalex.org/W6788135285"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052","https://openalex.org/W2033914206","https://openalex.org/W2042327336"],"abstract_inverted_index":{"In":[0],"recent":[1],"times,":[2],"transformer-based":[3],"deepfake":[4],"detection":[5],"networks":[6],"have":[7,20,83],"exhibited":[8],"remarkable":[9],"performance.":[10],"However,":[11],"the":[12,16,22,39,47,56,59,66,69,74,78,93,99,104,124,150,154],"computational":[13,96,118],"complexity":[14,119,139],"and":[15,95,120,132,140,160,165],"number":[17],"of":[18,25,51,58,68,73,98,129],"parameters":[19,94,122],"constrained":[21],"practical":[23],"application":[24],"these":[26,30],"networks.":[27],"To":[28],"address":[29],"issues,":[31],"we":[32],"propose":[33],"a":[34],"knowledge":[35,57],"distillation":[36,88],"method":[37,45,89],"for":[38,65],"Swin":[40,60,75],"Transformer":[41,61,76],"network.":[42],"Specifically,":[43],"this":[44,136],"utilizes":[46],"region":[48],"prediction":[49],"results":[50,148],"face":[52],"images":[53],"to":[54],"distill":[55],"in":[62,77,107,138],"subregions,":[63],"compensating":[64],"deficiency":[67],"small":[70],"window":[71],"size":[72],"early":[79],"stage.":[80],"Extensive":[81],"experiments":[82],"demonstrated":[84],"that":[85],"our":[86,142],"proposed":[87],"not":[90],"only":[91,130],"reduces":[92],"effort":[97],"model":[100],"but":[101],"also":[102],"surpasses":[103],"teacher":[105,125,155],"network":[106,114,144,156],"accuracy":[108],"on":[109,149,162],"low-resolution":[110],"images.":[111],"Our":[112],"student":[113,143],"exhibits":[115],"significantly":[116],"lower":[117],"fewer":[121],"than":[123],"network,":[126],"with":[127],"reductions":[128],"17.96%":[131],"20.44%,":[133],"respectively.":[134,167],"Despite":[135],"reduction":[137],"parameters,":[141],"has":[145],"achieved":[146],"state-of-the-art":[147],"FaceForensics++":[151],"dataset,":[152],"surpassing":[153],"by":[157],"0.071%,":[158],"0.86%,":[159],"8.339%":[161],"Raw/Raw,":[163],"Raw/C23,":[164],"Raw/C40,":[166]},"counts_by_year":[],"updated_date":"2025-12-21T23:12:01.093139","created_date":"2025-10-10T00:00:00"}
