{"id":"https://openalex.org/W4385299269","doi":"https://doi.org/10.1145/3603781.3603916","title":"A joint improved DETR network face recognition algorithm based on TSM module and DANN.","display_name":"A joint improved DETR network face recognition algorithm based on TSM module and DANN.","publication_year":2023,"publication_date":"2023-05-26","ids":{"openalex":"https://openalex.org/W4385299269","doi":"https://doi.org/10.1145/3603781.3603916"},"language":"en","primary_location":{"id":"doi:10.1145/3603781.3603916","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3603781.3603916","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 4th International Conference on Computing, Networks and Internet of Things","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/A5089959076","display_name":"Zhaoquan Ye","orcid":"https://orcid.org/0009-0009-5733-5905"},"institutions":[{"id":"https://openalex.org/I196699116","display_name":"Wuhan University of Technology","ror":"https://ror.org/03fe7t173","country_code":"CN","type":"education","lineage":["https://openalex.org/I196699116"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Ziheng Ye","raw_affiliation_strings":["Wuhan University of Technology, China"],"affiliations":[{"raw_affiliation_string":"Wuhan University of Technology, China","institution_ids":["https://openalex.org/I196699116"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5089959076"],"corresponding_institution_ids":["https://openalex.org/I196699116"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.07739618,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"759","last_page":"764"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","score":0.9995999932289124,"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":0.9995999932289124,"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":0.9825000166893005,"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/T10828","display_name":"Biometric Identification and Security","score":0.9819999933242798,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7926340699195862},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.6946436166763306},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.6878759264945984},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6700693964958191},{"id":"https://openalex.org/keywords/overfitting","display_name":"Overfitting","score":0.6274843215942383},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5181307196617126},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.44169795513153076},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4372367560863495},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.41709965467453003},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.410403847694397},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.2784407138824463}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7926340699195862},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6946436166763306},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.6878759264945984},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6700693964958191},{"id":"https://openalex.org/C22019652","wikidata":"https://www.wikidata.org/wiki/Q331309","display_name":"Overfitting","level":3,"score":0.6274843215942383},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5181307196617126},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.44169795513153076},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4372367560863495},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.41709965467453003},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.410403847694397},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.2784407138824463},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3603781.3603916","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3603781.3603916","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 4th International Conference on Computing, Networks and Internet of Things","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.49000000953674316,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"},{"score":0.4699999988079071,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W2096733369","https://openalex.org/W2784163702","https://openalex.org/W2955488837","https://openalex.org/W2961224374","https://openalex.org/W2963844898","https://openalex.org/W3103152812","https://openalex.org/W6600238479","https://openalex.org/W6600529467"],"related_works":["https://openalex.org/W4362597605","https://openalex.org/W1574414179","https://openalex.org/W4297676672","https://openalex.org/W3009056573","https://openalex.org/W2922073769","https://openalex.org/W4281702477","https://openalex.org/W2490526372","https://openalex.org/W4376166922","https://openalex.org/W2384651879","https://openalex.org/W2985118265"],"abstract_inverted_index":{"As":[0],"one":[1],"of":[2,8,43,52,65,77,89,97,103,135,168,194,206],"the":[3,24,41,49,53,69,74,82,86,90,95,104,117,126,132,147,162,169,174,180,191,195,198,210,213,221,233],"most":[4],"mature":[5],"application":[6],"fields":[7],"artificial":[9],"intelligence,":[10],"face":[11,30,44,57],"recognition":[12,31,45,54,192,223],"system":[13,55],"has":[14,94,235],"been":[15],"widely":[16],"used":[17],"in":[18,85],"production":[19],"and":[20,47,93,101,130,157,172,183,220,239],"life.":[21],"But":[22],"at":[23],"same":[25,148],"time":[26,87,122,133],"as":[27,153],"large-scale":[28],"commercialization,":[29],"technology":[32],"also":[33],"faces":[34],"more":[35],"challenges.":[36],"How":[37],"to":[38,120,139,165,178],"further":[39],"improve":[40,48],"accuracy":[42,193,237],"function":[46,177],"defense":[50],"ability":[51,100],"against":[56,58],"samples":[59,138],"is":[60,113,151,201,216,226],"an":[61,109,204],"important":[62],"research":[63],"direction":[64],"algorithms.":[66],"At":[67,146],"present,":[68],"algorithm":[70],"mostly":[71],"focuses":[72],"on":[73,125,197],"picture":[75],"features":[76,129,134],"a":[78,154],"single":[79],"portrait,":[80],"ignores":[81],"details":[83],"difference":[84],"domain":[88,123,163,166,184],"fake":[91],"video,":[92],"problems":[96],"weak":[98],"generalization":[99],"overfitting":[102],"model.":[105],"In":[106],"this":[107],"paper,":[108],"improved":[110,202],"DETR":[111],"network":[112,196],"proposed,":[114],"which":[115,160,230],"uses":[116,161,173],"TSM":[118],"module":[119],"perform":[121],"displacement":[124],"extracted":[127],"video":[128],"averages":[131],"pooled":[136],"learning":[137],"better":[140],"distinguish":[141],"dynamic":[142],"adversarial":[143,175],"sample":[144],"instances.":[145],"time,":[149],"DANN":[150],"introduced":[152],"systematic":[155],"classification":[156],"discrimination":[158,167],"network,":[159],"classifier":[164,185],"feature":[170,181],"space":[171],"loss":[176],"update":[179],"extractor":[182],"parameters.":[186],"Actual":[187],"tests":[188],"show":[189],"that":[190,232],"FaceForensics":[199],"dataset":[200],"by":[203],"average":[205],"4%-7%":[207],"compared":[208],"with":[209],"improvement":[211],"period,":[212],"error":[214],"rate":[215,238],"less":[217],"than":[218],"7%,":[219],"model":[222,234],"speed":[224],"index":[225],"not":[227],"higher":[228],"400ms,":[229],"proves":[231],"high":[236],"good":[240],"real-time":[241],"solving":[242],"ability.":[243]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}