{"id":"https://openalex.org/W4388820663","doi":"https://doi.org/10.1109/apsipaasc58517.2023.10317126","title":"AI-Generated Image Detection using a Cross-Attention Enhanced Dual-Stream Network","display_name":"AI-Generated Image Detection using a Cross-Attention Enhanced Dual-Stream Network","publication_year":2023,"publication_date":"2023-10-31","ids":{"openalex":"https://openalex.org/W4388820663","doi":"https://doi.org/10.1109/apsipaasc58517.2023.10317126"},"language":"en","primary_location":{"id":"doi:10.1109/apsipaasc58517.2023.10317126","is_oa":false,"landing_page_url":"https://doi.org/10.1109/apsipaasc58517.2023.10317126","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 Asia Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)","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/A5064061658","display_name":"Ziyi Xi","orcid":"https://orcid.org/0000-0003-3010-0486"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ziyi Xi","raw_affiliation_strings":["Sun Yat-sen University,GuangDong Province Key Laboratory of Information Security Technology,GuangZhou,China","GuangDong Province Key Laboratory of Information Security Technology, Sun Yat-sen University, GuangZhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sun Yat-sen University,GuangDong Province Key Laboratory of Information Security Technology,GuangZhou,China","institution_ids":["https://openalex.org/I157773358"]},{"raw_affiliation_string":"GuangDong Province Key Laboratory of Information Security Technology, Sun Yat-sen University, GuangZhou, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103170948","display_name":"Wenmin Huang","orcid":"https://orcid.org/0000-0002-6655-903X"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenmin Huang","raw_affiliation_strings":["Sun Yat-sen University,GuangDong Province Key Laboratory of Information Security Technology,GuangZhou,China","GuangDong Province Key Laboratory of Information Security Technology, Sun Yat-sen University, GuangZhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sun Yat-sen University,GuangDong Province Key Laboratory of Information Security Technology,GuangZhou,China","institution_ids":["https://openalex.org/I157773358"]},{"raw_affiliation_string":"GuangDong Province Key Laboratory of Information Security Technology, Sun Yat-sen University, GuangZhou, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038676203","display_name":"Kangkang Wei","orcid":"https://orcid.org/0000-0002-0047-9520"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kangkang Wei","raw_affiliation_strings":["Sun Yat-sen University,GuangDong Province Key Laboratory of Information Security Technology,GuangZhou,China","GuangDong Province Key Laboratory of Information Security Technology, Sun Yat-sen University, GuangZhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sun Yat-sen University,GuangDong Province Key Laboratory of Information Security Technology,GuangZhou,China","institution_ids":["https://openalex.org/I157773358"]},{"raw_affiliation_string":"GuangDong Province Key Laboratory of Information Security Technology, Sun Yat-sen University, GuangZhou, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102785655","display_name":"Weiqi Luo","orcid":"https://orcid.org/0000-0002-8999-6064"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weiqi Luo","raw_affiliation_strings":["Sun Yat-sen University,GuangDong Province Key Laboratory of Information Security Technology,GuangZhou,China","GuangDong Province Key Laboratory of Information Security Technology, Sun Yat-sen University, GuangZhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sun Yat-sen University,GuangDong Province Key Laboratory of Information Security Technology,GuangZhou,China","institution_ids":["https://openalex.org/I157773358"]},{"raw_affiliation_string":"GuangDong Province Key Laboratory of Information Security Technology, Sun Yat-sen University, GuangZhou, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5069998992","display_name":"Peijia Zheng","orcid":"https://orcid.org/0000-0003-0979-8613"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peijia Zheng","raw_affiliation_strings":["Sun Yat-sen University,GuangDong Province Key Laboratory of Information Security Technology,GuangZhou,China","GuangDong Province Key Laboratory of Information Security Technology, Sun Yat-sen University, GuangZhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sun Yat-sen University,GuangDong Province Key Laboratory of Information Security Technology,GuangZhou,China","institution_ids":["https://openalex.org/I157773358"]},{"raw_affiliation_string":"GuangDong Province Key Laboratory of Information Security Technology, Sun Yat-sen University, GuangZhou, China","institution_ids":["https://openalex.org/I157773358"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I157773358"],"apc_list":null,"apc_paid":null,"fwci":3.4036,"has_fulltext":false,"cited_by_count":32,"citation_normalized_percentile":{"value":0.94260872,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"1463","last_page":"1470"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12357","display_name":"Digital Media Forensic Detection","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9987999796867371,"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/T12859","display_name":"Cell Image Analysis Techniques","score":0.9897000193595886,"subfield":{"id":"https://openalex.org/subfields/1304","display_name":"Biophysics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8011541366577148},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.7302119135856628},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.598160445690155},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.5598559975624084},{"id":"https://openalex.org/keywords/graphics","display_name":"Graphics","score":0.46955472230911255},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.437269389629364},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.43599534034729004},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics","score":0.4354257881641388},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.4145856499671936},{"id":"https://openalex.org/keywords/dual","display_name":"Dual (grammatical number)","score":0.41318878531455994},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.413130521774292},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3779022693634033},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3278431296348572},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.16443058848381042},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.09005653858184814}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8011541366577148},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7302119135856628},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.598160445690155},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.5598559975624084},{"id":"https://openalex.org/C21442007","wikidata":"https://www.wikidata.org/wiki/Q1027879","display_name":"Graphics","level":2,"score":0.46955472230911255},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.437269389629364},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.43599534034729004},{"id":"https://openalex.org/C77660652","wikidata":"https://www.wikidata.org/wiki/Q150971","display_name":"Computer graphics","level":2,"score":0.4354257881641388},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.4145856499671936},{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.41318878531455994},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.413130521774292},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3779022693634033},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3278431296348572},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.16443058848381042},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.09005653858184814},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"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/C124952713","wikidata":"https://www.wikidata.org/wiki/Q8242","display_name":"Literature","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","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/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/apsipaasc58517.2023.10317126","is_oa":false,"landing_page_url":"https://doi.org/10.1109/apsipaasc58517.2023.10317126","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 Asia Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1976724148","https://openalex.org/W2194775991","https://openalex.org/W2548753991","https://openalex.org/W2767825479","https://openalex.org/W2794515184","https://openalex.org/W2799785652","https://openalex.org/W2852084320","https://openalex.org/W2883088976","https://openalex.org/W2914227139","https://openalex.org/W2960139675","https://openalex.org/W3034558629","https://openalex.org/W3080079636","https://openalex.org/W3082587664","https://openalex.org/W3101649689","https://openalex.org/W3214951728","https://openalex.org/W4221108250","https://openalex.org/W4318777691","https://openalex.org/W4323706279","https://openalex.org/W4388858946","https://openalex.org/W6759318644","https://openalex.org/W6762718338","https://openalex.org/W6850357939"],"related_works":["https://openalex.org/W2560215812","https://openalex.org/W2949601986","https://openalex.org/W2788972299","https://openalex.org/W2521347458","https://openalex.org/W2498789492","https://openalex.org/W2729981612","https://openalex.org/W4233449973","https://openalex.org/W2925692864","https://openalex.org/W4391013256","https://openalex.org/W2768526084"],"abstract_inverted_index":{"With":[0],"the":[1,33,59,84,108,122,138,145,168,219,226],"rapid":[2],"evolution":[3],"of":[4,97,184,196,221,228],"AI":[5,75],"Generated":[6],"Content":[7],"(AIGC),":[8],"forged":[9,128],"images":[10],"produced":[11,87],"through":[12,193],"this":[13,53],"technology":[14],"are":[15,162],"inherently":[16],"more":[17],"deceptive":[18],"and":[19,37,78,101,167,199,213],"require":[20],"less":[21],"human":[22],"intervention":[23],"compared":[24],"to":[25,32,44,81,113,125,204],"traditional":[26,177,207],"Computer-generated":[27],"Graphics":[28],"(CG).":[29],"However,":[30],"owing":[31],"disparities":[34],"between":[35,148],"CG":[36,40,178,208,229],"AIGC,":[38,89],"conventional":[39],"detection":[41,173,179],"methods":[42,224],"tend":[43],"be":[45],"inadequate":[46],"in":[47,63,130,225],"identifying":[48],"AIGC-produced":[49],"images.":[50],"To":[51,143],"address":[52],"issue,":[54],"our":[55,172,188,215],"research":[56],"concentrates":[57],"on":[58,164],"text-to-image":[60,70],"generation":[61],"process":[62],"AIGC.":[64],"Initially,":[65],"we":[66,90,152],"first":[67],"assemble":[68],"two":[69,73,150],"databases":[71],"utilizing":[72],"distinct":[74],"systems,":[76],"DALL\u2022E2":[77],"DreamStudio.":[79],"Aiming":[80],"holistically":[82],"capture":[83,126],"inherent":[85],"anomalies":[86],"by":[88],"develope":[91],"a":[92,98,102,154,182,194],"robust":[93],"dual-stream":[94],"network":[95],"comprised":[96],"residual":[99,139],"stream":[100,140],"content":[103],"stream.":[104],"The":[105],"former":[106],"employs":[107],"Spatial":[109],"Rich":[110],"Model":[111],"(SRM)":[112],"meticulously":[114],"extract":[115],"various":[116],"texture":[117],"information":[118,136,146],"from":[119],"images,":[120],"while":[121],"latter":[123],"seeks":[124],"additional":[127],"traces":[129],"low":[131],"frequency,":[132],"thereby":[133],"extracting":[134],"complementary":[135],"that":[137,171],"may":[141],"overlook.":[142],"enhance":[144],"exchange":[147],"these":[149],"streams,":[151],"incorporate":[153],"cross":[155],"multi-head":[156],"attention":[157],"mechanism.":[158],"Numerous":[159],"comparative":[160],"experiments":[161],"performed":[163],"both":[165],"databases,":[166],"results":[169],"show":[170],"method":[174,189],"consistently":[175],"outperforms":[176],"techniques":[180],"across":[181],"range":[183],"image":[185],"resolutions.":[186],"Moreover,":[187],"exhibits":[190],"superior":[191],"performance":[192],"series":[195],"robustness":[197],"tests":[198],"cross-database":[200],"experiments.":[201],"When":[202],"applied":[203],"widely":[205],"recognized":[206],"benchmarks":[209],"such":[210],"as":[211],"SPL2018":[212],"DsTok,":[214],"approach":[216],"significantly":[217],"exceeds":[218],"capabilities":[220],"other":[222],"existing":[223],"field":[227],"detection.":[230]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":14},{"year":2024,"cited_by_count":11},{"year":2023,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
