{"id":"https://openalex.org/W4210694934","doi":"https://doi.org/10.1007/978-3-030-87664-7_14","title":"DeepFakes Detection: the\u00a0DeeperForensics\u00a0Dataset and\u00a0Challenge","display_name":"DeepFakes Detection: the\u00a0DeeperForensics\u00a0Dataset and\u00a0Challenge","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4210694934","doi":"https://doi.org/10.1007/978-3-030-87664-7_14"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-030-87664-7_14","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-030-87664-7_14","pdf_url":"https://link.springer.com/content/pdf/10.1007/978-3-030-87664-7_14.pdf","source":{"id":"https://openalex.org/S4210181928","display_name":"Advances in computer vision and pattern recognition","issn_l":"2191-6586","issn":["2191-6586","2191-6594"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319972","host_organization_name":"Springer International Publishing","host_organization_lineage":["https://openalex.org/P4310319972","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer International Publishing","Springer Nature"],"type":"book series"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Advances in Computer Vision and Pattern Recognition","raw_type":"book-chapter"},"type":"book-chapter","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/978-3-030-87664-7_14.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5081645956","display_name":"Liming Jiang","orcid":"https://orcid.org/0000-0001-8109-5598"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Liming Jiang","raw_affiliation_strings":["S -Lab, Nanyang Technological University, Jurong West, Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"S -Lab, Nanyang Technological University, Jurong West, Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000896822","display_name":"Wayne Wu","orcid":"https://orcid.org/0000-0002-1364-8151"},"institutions":[{"id":"https://openalex.org/I4210128910","display_name":"Group Sense (China)","ror":"https://ror.org/036wd5777","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210128910"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wayne Wu","raw_affiliation_strings":["SenseTime Research, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"SenseTime Research, Beijing, China","institution_ids":["https://openalex.org/I4210128910"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100657544","display_name":"Chen Qian","orcid":"https://orcid.org/0000-0002-8761-5563"},"institutions":[{"id":"https://openalex.org/I4210128910","display_name":"Group Sense (China)","ror":"https://ror.org/036wd5777","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210128910"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chen Qian","raw_affiliation_strings":["SenseTime Research, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"SenseTime Research, Beijing, China","institution_ids":["https://openalex.org/I4210128910"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005626854","display_name":"Chen Change Loy","orcid":"https://orcid.org/0000-0001-5345-1591"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Chen Change Loy","raw_affiliation_strings":["S -Lab, Nanyang Technological University, Jurong West, Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"S -Lab, Nanyang Technological University, Jurong West, Singapore","institution_ids":["https://openalex.org/I172675005"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.125,"has_fulltext":true,"cited_by_count":9,"citation_normalized_percentile":{"value":0.85612505,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"303","last_page":"329"},"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":0.9994000196456909,"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":0.9994000196456909,"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":0.9988999962806702,"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":0.9980000257492065,"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":0.712446928024292},{"id":"https://openalex.org/keywords/rendering","display_name":"Rendering (computer graphics)","score":0.7000598311424255},{"id":"https://openalex.org/keywords/fidelity","display_name":"Fidelity","score":0.6255477666854858},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.5316144824028015},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.4784260392189026},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.454059362411499},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.44874992966651917},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.4389871656894684},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3401154577732086},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.06623023748397827}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.712446928024292},{"id":"https://openalex.org/C205711294","wikidata":"https://www.wikidata.org/wiki/Q176953","display_name":"Rendering (computer graphics)","level":2,"score":0.7000598311424255},{"id":"https://openalex.org/C2776459999","wikidata":"https://www.wikidata.org/wiki/Q2119376","display_name":"Fidelity","level":2,"score":0.6255477666854858},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.5316144824028015},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.4784260392189026},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.454059362411499},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44874992966651917},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.4389871656894684},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3401154577732086},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.06623023748397827},{"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/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"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/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-3-030-87664-7_14","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-030-87664-7_14","pdf_url":"https://link.springer.com/content/pdf/10.1007/978-3-030-87664-7_14.pdf","source":{"id":"https://openalex.org/S4210181928","display_name":"Advances in computer vision and pattern recognition","issn_l":"2191-6586","issn":["2191-6586","2191-6594"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319972","host_organization_name":"Springer International Publishing","host_organization_lineage":["https://openalex.org/P4310319972","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer International Publishing","Springer Nature"],"type":"book series"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Advances in Computer Vision and Pattern Recognition","raw_type":"book-chapter"}],"best_oa_location":{"id":"doi:10.1007/978-3-030-87664-7_14","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-030-87664-7_14","pdf_url":"https://link.springer.com/content/pdf/10.1007/978-3-030-87664-7_14.pdf","source":{"id":"https://openalex.org/S4210181928","display_name":"Advances in computer vision and pattern recognition","issn_l":"2191-6586","issn":["2191-6586","2191-6594"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319972","host_organization_name":"Springer International Publishing","host_organization_lineage":["https://openalex.org/P4310319972","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer International Publishing","Springer Nature"],"type":"book series"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Advances in Computer Vision and Pattern Recognition","raw_type":"book-chapter"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4210694934.pdf","grobid_xml":"https://content.openalex.org/works/W4210694934.grobid-xml"},"referenced_works_count":76,"referenced_works":["https://openalex.org/W1522734439","https://openalex.org/W1974013408","https://openalex.org/W2009130368","https://openalex.org/W2064675550","https://openalex.org/W2100495367","https://openalex.org/W2162963619","https://openalex.org/W2194775991","https://openalex.org/W2293989420","https://openalex.org/W2301937176","https://openalex.org/W2307770531","https://openalex.org/W2341528187","https://openalex.org/W2412509443","https://openalex.org/W2507009361","https://openalex.org/W2531409750","https://openalex.org/W2560026874","https://openalex.org/W2560474170","https://openalex.org/W2603123944","https://openalex.org/W2603777577","https://openalex.org/W2786289897","https://openalex.org/W2883183894","https://openalex.org/W2891145043","https://openalex.org/W2911424785","https://openalex.org/W2913399670","https://openalex.org/W2914447220","https://openalex.org/W2942074357","https://openalex.org/W2962770929","https://openalex.org/W2962793481","https://openalex.org/W2962958939","https://openalex.org/W2962974533","https://openalex.org/W2963073614","https://openalex.org/W2963155035","https://openalex.org/W2963524571","https://openalex.org/W2963616706","https://openalex.org/W2963684180","https://openalex.org/W2963767194","https://openalex.org/W2963789946","https://openalex.org/W2963800363","https://openalex.org/W2963890275","https://openalex.org/W2964065910","https://openalex.org/W2979259381","https://openalex.org/W2982058372","https://openalex.org/W2984700035","https://openalex.org/W2991318208","https://openalex.org/W3019200173","https://openalex.org/W3034196597","https://openalex.org/W3034552680","https://openalex.org/W3034577585","https://openalex.org/W3034900344","https://openalex.org/W3035063907","https://openalex.org/W3035160371","https://openalex.org/W3035574324","https://openalex.org/W3035682985","https://openalex.org/W3036806226","https://openalex.org/W3038930935","https://openalex.org/W3083246145","https://openalex.org/W3093010840","https://openalex.org/W3094728142","https://openalex.org/W3101998545","https://openalex.org/W3108281670","https://openalex.org/W3108854358","https://openalex.org/W3115000224","https://openalex.org/W3118738365","https://openalex.org/W3125803510","https://openalex.org/W3133531029","https://openalex.org/W3173317327","https://openalex.org/W3178572954","https://openalex.org/W3203605797","https://openalex.org/W4210482394","https://openalex.org/W4234552385","https://openalex.org/W6600175266","https://openalex.org/W6600474606","https://openalex.org/W6606298547","https://openalex.org/W6607948422","https://openalex.org/W6608993855","https://openalex.org/W6818100936","https://openalex.org/W6818723395"],"related_works":["https://openalex.org/W2381850946","https://openalex.org/W4380449851","https://openalex.org/W3125091513","https://openalex.org/W4318832338","https://openalex.org/W3162204513","https://openalex.org/W4248383205","https://openalex.org/W4234745530","https://openalex.org/W2146383839","https://openalex.org/W2231829109","https://openalex.org/W2916591301"],"abstract_inverted_index":{"Abstract":[0],"Recent":[1],"years":[2],"have":[3,15],"witnessed":[4],"exciting":[5],"progress":[6],"in":[7,86,100],"automatic":[8],"face":[9,62,112,195],"swapping":[10],"and":[11,28,40,47,93,138,176,208],"editing.":[12],"Many":[13],"techniques":[14],"been":[16],"proposed,":[17],"facilitating":[18],"the":[19,90,105,131,166,174,179,184,205],"rapid":[20],"development":[21],"of":[22,31,78,107,120,124,156,178],"creative":[23],"content":[24],"creation.":[25],"The":[26,75,97],"emergence":[27],"easy":[29],"accessibility":[30],"such":[32],"techniques,":[33],"however,":[34],"also":[35,142],"cause":[36],"potential":[37,213],"unprecedented":[38],"ethical":[39],"moral":[41],"issues.":[42],"To":[43],"this":[44,149],"end,":[45],"academia":[46],"industry":[48],"proposed":[49],"several":[50],"effective":[51],"forgery":[52,71,113,161,196],"detection":[53,72,81,162,197],"methods.":[54],"Nonetheless,":[55],"challenges":[56,103,167],"could":[57],"still":[58],"exist.":[59],"(1)":[60],"Current":[61],"manipulation":[63],"advances":[64],"can":[65],"produce":[66],"high-fidelity":[67],"fake":[68],"videos,":[69],"rendering":[70],"challenging.":[73],"(2)":[74],"generalization":[76,146],"capability":[77],"most":[79],"existing":[80,116],"models":[82],"is":[83,104],"poor,":[84],"particularly":[85],"real-world":[87,111,194],"scenarios":[88],"where":[89],"media":[91],"sources":[92],"distortions":[94],"are":[95,118],"unknown.":[96],"primary":[98],"difficulty":[99],"overcoming":[101],"these":[102],"lack":[106],"amenable":[108],"datasets":[109,117],"for":[110],"detection.":[114],"Most":[115],"either":[119],"a":[121,159,193],"small":[122],"number,":[123],"low":[125],"quality,":[126],"or":[127],"overly":[128],"artificial.":[129],"Meanwhile,":[130],"large":[132],"distribution":[133],"gap":[134],"between":[135],"training":[136],"data":[137],"actual":[139],"test":[140],"videos":[141],"leads":[143],"to":[144,164,172],"weak":[145],"ability.":[147],"In":[148],"chapter,":[150],"we":[151,182,186,203],"present":[152],"our":[153],"on-going":[154],"effort":[155],"constructing":[157],"DeeperForensics-1.0,":[158],"large-scale":[160],"dataset,":[163],"address":[165],"above.":[168],"We":[169],"discuss":[170],"approaches":[171],"ensure":[173],"quality":[175],"diversity":[177],"dataset.":[180],"Besides,":[181],"describe":[183],"observations":[185],"obtained":[187],"from":[188],"organizing":[189],"DeeperForensics":[190],"Challenge":[191],"2020,":[192],"competition":[198],"based":[199],"on":[200,212],"DeeperForensics-1.0.":[201],"Specifically,":[202],"summarize":[204],"winning":[206],"solutions":[207],"provide":[209],"some":[210],"discussions":[211],"research":[214],"directions.":[215]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}