{"id":"https://openalex.org/W4417508340","doi":"https://doi.org/10.1109/tip.2025.3644125","title":"Face Forgery Detection With CLIP-Enhanced Multi-Encoder Distillation","display_name":"Face Forgery Detection With CLIP-Enhanced Multi-Encoder Distillation","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4417508340","doi":"https://doi.org/10.1109/tip.2025.3644125","pmid":"https://pubmed.ncbi.nlm.nih.gov/41417997"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2025.3644125","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2025.3644125","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Image Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5012655281","display_name":"Chunlei Peng","orcid":"https://orcid.org/0000-0003-3448-2514"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Chunlei Peng","raw_affiliation_strings":["State Key Laboratory of Integrated Services Networks, School of Cyber Engineering, Xidian University, Xi’an, Shaanxi, China","School of Cyber Engineering, State Key Laboratory of Integrated Services Networks, Xidian University, Xi’an, Shaanxi, P. R. China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Integrated Services Networks, School of Cyber Engineering, Xidian University, Xi’an, Shaanxi, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"School of Cyber Engineering, State Key Laboratory of Integrated Services Networks, Xidian University, Xi’an, Shaanxi, P. R. China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043972330","display_name":"Tianhong Yan","orcid":"https://orcid.org/0000-0003-3916-3926"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tianzhe Yan","raw_affiliation_strings":["State Key Laboratory of Integrated Services Networks, School of Cyber Engineering, Xidian University, Xi’an, Shaanxi, China","School of Cyber Engineering, State Key Laboratory of Integrated Services Networks, Xidian University, Xi’an, Shaanxi, P. R. China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Integrated Services Networks, School of Cyber Engineering, Xidian University, Xi’an, Shaanxi, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"School of Cyber Engineering, State Key Laboratory of Integrated Services Networks, Xidian University, Xi’an, Shaanxi, P. R. China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058058294","display_name":"Decheng Liu","orcid":"https://orcid.org/0000-0002-6550-212X"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Decheng Liu","raw_affiliation_strings":["State Key Laboratory of Integrated Services Networks, School of Cyber Engineering, Xidian University, Xi’an, Shaanxi, China","School of Cyber Engineering, State Key Laboratory of Integrated Services Networks, Xidian University, Xi’an, Shaanxi, P. R. China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Integrated Services Networks, School of Cyber Engineering, Xidian University, Xi’an, Shaanxi, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"School of Cyber Engineering, State Key Laboratory of Integrated Services Networks, Xidian University, Xi’an, Shaanxi, P. R. China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042507268","display_name":"Nannan Wang","orcid":"https://orcid.org/0000-0002-4695-6134"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Nannan Wang","raw_affiliation_strings":["State Key Laboratory of Integrated Services Networks, School of Telecommunications Engineering, Xidian University, Xi’an, Shaanxi, China","School of Telecommunications Engineering, State Key Laboratory of Integrated Services Networks, Xidian University, Xi’an, Shaanxi, P. R. China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Integrated Services Networks, School of Telecommunications Engineering, Xidian University, Xi’an, Shaanxi, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"School of Telecommunications Engineering, State Key Laboratory of Integrated Services Networks, Xidian University, Xi’an, Shaanxi, P. R. China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008406199","display_name":"Ruimin Hu","orcid":"https://orcid.org/0000-0002-5872-3872"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruimin Hu","raw_affiliation_strings":["School of Cyber Engineering, Xidian University, Xi’an, Shaanxi, China","School of Cyber Engineering, Xidian University, Xi’an, Shaanxi, P. R. China"],"affiliations":[{"raw_affiliation_string":"School of Cyber Engineering, Xidian University, Xi’an, Shaanxi, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"School of Cyber Engineering, Xidian University, Xi’an, Shaanxi, P. R. China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101313930","display_name":"Xinbo Gao","orcid":"https://orcid.org/0000-0002-7985-0037"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinbo Gao","raw_affiliation_strings":["State Key Laboratory of Integrated Services Networks, School of Electronic Engineering, Xidian University, Xi’an, Shaanxi, China","School of Electronic Engineering, State Key Laboratory of Integrated Services Networks, Xidian University, Xi’an, Shaanxi, P.R. China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Integrated Services Networks, School of Electronic Engineering, Xidian University, Xi’an, Shaanxi, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"School of Electronic Engineering, State Key Laboratory of Integrated Services Networks, Xidian University, Xi’an, Shaanxi, P.R. China","institution_ids":["https://openalex.org/I149594827"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5012655281"],"corresponding_institution_ids":["https://openalex.org/I149594827"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.41817572,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"34","issue":null,"first_page":"8474","last_page":"8484"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.5769000053405762,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.5769000053405762,"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":0.21459999680519104,"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":0.04800000041723251,"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/face","display_name":"Face (sociological concept)","score":0.679099977016449},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5928999781608582},{"id":"https://openalex.org/keywords/face-detection","display_name":"Face detection","score":0.5449000000953674},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.48500001430511475},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.48089998960494995},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.4666000008583069},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.4011000096797943},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3797000050544739}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7716000080108643},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7179999947547913},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.679099977016449},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5928999781608582},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.578499972820282},{"id":"https://openalex.org/C4641261","wikidata":"https://www.wikidata.org/wiki/Q11681085","display_name":"Face detection","level":4,"score":0.5449000000953674},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.48500001430511475},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.48089998960494995},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.4666000008583069},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.4011000096797943},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3797000050544739},{"id":"https://openalex.org/C148417208","wikidata":"https://www.wikidata.org/wiki/Q4825882","display_name":"Authentication (law)","level":2,"score":0.3671000003814697},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3499000072479248},{"id":"https://openalex.org/C71681937","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object-class detection","level":5,"score":0.34689998626708984},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.29789999127388},{"id":"https://openalex.org/C2780878386","wikidata":"https://www.wikidata.org/wiki/Q1659648","display_name":"Visual language","level":2,"score":0.2904999852180481},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.2809999883174896},{"id":"https://openalex.org/C2776674983","wikidata":"https://www.wikidata.org/wiki/Q545981","display_name":"Image editing","level":3,"score":0.2761000096797943},{"id":"https://openalex.org/C183322885","wikidata":"https://www.wikidata.org/wiki/Q17007702","display_name":"Context model","level":3,"score":0.2630000114440918},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.26019999384880066},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.25440001487731934},{"id":"https://openalex.org/C184297639","wikidata":"https://www.wikidata.org/wiki/Q177765","display_name":"Biometrics","level":2,"score":0.25119999051094055}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tip.2025.3644125","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2025.3644125","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Image Processing","raw_type":"journal-article"},{"id":"pmid:41417997","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/41417997","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on image processing : a publication of the IEEE Signal Processing Society","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2452297484","display_name":null,"funder_award_id":"QTZX23042","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G3688758420","display_name":null,"funder_award_id":"62571405","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4297946667","display_name":null,"funder_award_id":"U22A2096","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G528944840","display_name":null,"funder_award_id":"62306227","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5302744849","display_name":null,"funder_award_id":"U22A2035","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5344593585","display_name":null,"funder_award_id":"QTZX23083","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G5405834107","display_name":null,"funder_award_id":"62276198","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5420252985","display_name":null,"funder_award_id":"B16037","funder_id":"https://openalex.org/F4320336698","funder_display_name":"Overseas Expertise Introduction Center for Discipline Innovation of Food Nutrition and Human Health (111 Center)"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null},{"id":"https://openalex.org/F4320336698","display_name":"Overseas Expertise Introduction Center for Discipline Innovation of Food Nutrition and Human Health (111 Center)","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":43,"referenced_works":["https://openalex.org/W2891145043","https://openalex.org/W2914447220","https://openalex.org/W2963720850","https://openalex.org/W2982058372","https://openalex.org/W3034577585","https://openalex.org/W3034713808","https://openalex.org/W3092879151","https://openalex.org/W3094728142","https://openalex.org/W3118709007","https://openalex.org/W3174508664","https://openalex.org/W3174814557","https://openalex.org/W3175342695","https://openalex.org/W3183999072","https://openalex.org/W3207340843","https://openalex.org/W3207531490","https://openalex.org/W4200635057","https://openalex.org/W4221045030","https://openalex.org/W4283817039","https://openalex.org/W4303986338","https://openalex.org/W4312671791","https://openalex.org/W4312967678","https://openalex.org/W4313127140","https://openalex.org/W4319300180","https://openalex.org/W4382318331","https://openalex.org/W4386075957","https://openalex.org/W4386076635","https://openalex.org/W4387969222","https://openalex.org/W4390872011","https://openalex.org/W4391741272","https://openalex.org/W4396948515","https://openalex.org/W4398238196","https://openalex.org/W4399418483","https://openalex.org/W4399980772","https://openalex.org/W4400489897","https://openalex.org/W4402915983","https://openalex.org/W4404199615","https://openalex.org/W4408709555","https://openalex.org/W4409346377","https://openalex.org/W4409367651","https://openalex.org/W4411241923","https://openalex.org/W4412624427","https://openalex.org/W4413156301","https://openalex.org/W4416340464"],"related_works":[],"abstract_inverted_index":{"With":[0],"the":[1,12,38,60,84,96,103,127,130,134,138,144,148,151,156,164,169,176,183,188,194,197,206,210,217,221,224,230,236,240,245,251,258,262,267,277,295],"development":[2],"of":[3,16,22,40,62,106,133,163,178,199,229,239,261,271],"face":[4,27,114,179,298],"forgery":[5,28,57,70,107,115,139,200,286,299],"technology,":[6],"fake":[7,89],"faces":[8],"are":[9,214,233,248],"rampant,":[10],"threatening":[11],"security":[13],"and":[14,43,46,55,88,122,137,160,187,192,204,226,244,266],"authenticity":[15],"many":[17],"fields.":[18],"Therefore,":[19,109],"it":[20,47],"is":[21,48,141],"great":[23],"significance":[24],"to":[25,50,82,202,208,250,280],"study":[26],"detection.":[29,108,287,300],"At":[30,73,220],"present,":[31,74],"existing":[32],"detection":[33,71,116,201,211],"methods":[34,76],"have":[35,102],"deficiencies":[36],"in":[37,196],"comprehensiveness":[39],"feature":[41],"extraction":[42],"model":[44,98,136,140,153,232,279],"adaptability,":[45],"difficult":[49],"accurately":[51],"deal":[52],"with":[53,235],"complex":[54],"changeable":[56],"scenarios.":[58],"However,":[59,91],"rise":[61],"multimodal":[63],"models":[64],"provides":[65],"new":[66],"insights":[67],"for":[68,285],"current":[69],"methods.":[72],"most":[75],"use":[77],"relatively":[78],"simple":[79],"text":[80,185,272],"prompts":[81],"describe":[83],"difference":[85],"between":[86],"real":[87],"faces.":[90],"these":[92],"researchers":[93],"ignore":[94],"that":[95,290],"CLIP":[97,135,184,189,263],"itself":[99],"does":[100],"not":[101,255],"relevant":[104,283],"knowledge":[105,124,132,284],"our":[110,173,291],"paper":[111,174],"proposes":[112],"a":[113],"method":[117,292],"based":[118],"on":[119,297],"multi-encoder":[120],"fusion":[121],"cross-modal":[123],"distillation.":[125],"On":[126,143],"one":[128],"hand,":[129,146],"prior":[131],"fused.":[142],"other":[145],"through":[147],"alignment":[149],"distillation,":[150],"student":[152,242,252],"can":[154],"learn":[155],"visual":[157,225,237],"abnormal":[158],"patterns":[159,228,238],"semantic":[161],"features":[162,177],"forged":[165],"samples":[166],"captured":[167],"by":[168,181],"teacher":[170,218,231],"model.":[171,219,253],"Specifically,":[172],"extracts":[175],"photos":[180],"fusing":[182],"encoder":[186,265],"image":[190,264],"encoder,":[191],"uses":[193],"dataset":[195],"field":[198],"pretrain":[203],"fine-tune":[205],"Deepfake-V2-Model":[207],"enhance":[209],"ability,":[212],"which":[213],"regarded":[215],"as":[216],"same":[222],"time,":[223],"language":[227],"aligned":[234,246],"pretrained":[241],"model,":[243],"representations":[247],"refined":[249],"This":[254],"only":[256],"combines":[257],"rich":[259],"representation":[260],"excellent":[268],"generalization":[269],"ability":[270],"embedding,":[273],"but":[274],"also":[275],"enables":[276],"original":[278],"effectively":[281,293],"acquire":[282],"Experiments":[288],"show":[289],"improves":[294],"performance":[296]},"counts_by_year":[],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-12-19T00:00:00"}