{"id":"https://openalex.org/W4360897681","doi":"https://doi.org/10.1109/tetci.2023.3256466","title":"Towards Efficient Cross-Modal Anomaly Detection Using Triple-Adaptive Network and Bi-Quintuple Contrastive Learning","display_name":"Towards Efficient Cross-Modal Anomaly Detection Using Triple-Adaptive Network and Bi-Quintuple Contrastive Learning","publication_year":2023,"publication_date":"2023-03-24","ids":{"openalex":"https://openalex.org/W4360897681","doi":"https://doi.org/10.1109/tetci.2023.3256466"},"language":"en","primary_location":{"id":"doi:10.1109/tetci.2023.3256466","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/tetci.2023.3256466","pdf_url":null,"source":{"id":"https://openalex.org/S4210210251","display_name":"IEEE Transactions on Emerging Topics in Computational Intelligence","issn_l":"2471-285X","issn":["2471-285X"],"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 Emerging Topics in Computational Intelligence","raw_type":"journal-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/A5089905978","display_name":"Shu\u2010Juan Peng","orcid":null},"institutions":[{"id":"https://openalex.org/I119045251","display_name":"Huaqiao University","ror":"https://ror.org/03frdh605","country_code":"CN","type":"education","lineage":["https://openalex.org/I119045251"]},{"id":"https://openalex.org/I4210123185","display_name":"Zhejiang Lab","ror":"https://ror.org/02m2h7991","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210123185"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shu-Juan Peng","raw_affiliation_strings":["Department of Artificial Intelligence, Huaqiao University, Xiamen, China","Artificial Intelligence Research Institute, Zhejiang Lab, Hangzhou, China","Key Laboratory of Computer Vision and Machine Learning (Huaqiao University), Fujian Province University, Xiamen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Artificial Intelligence, Huaqiao University, Xiamen, China","institution_ids":["https://openalex.org/I119045251"]},{"raw_affiliation_string":"Artificial Intelligence Research Institute, Zhejiang Lab, Hangzhou, China","institution_ids":["https://openalex.org/I4210123185"]},{"raw_affiliation_string":"Key Laboratory of Computer Vision and Machine Learning (Huaqiao University), Fujian Province University, Xiamen, China","institution_ids":["https://openalex.org/I119045251"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100405484","display_name":"Fan Ye","orcid":"https://orcid.org/0000-0002-7898-886X"},"institutions":[{"id":"https://openalex.org/I119045251","display_name":"Huaqiao University","ror":"https://ror.org/03frdh605","country_code":"CN","type":"education","lineage":["https://openalex.org/I119045251"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ye Fan","raw_affiliation_strings":["Xiamen Key Laboratory of Computer Vision, and Pattern Recognition, Xiamen, China","Fujian Key Laboratory of Big Data Intelligence and Security, Huaqiao University, Xiamen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xiamen Key Laboratory of Computer Vision, and Pattern Recognition, Xiamen, China","institution_ids":[]},{"raw_affiliation_string":"Fujian Key Laboratory of Big Data Intelligence and Security, Huaqiao University, Xiamen, China","institution_ids":["https://openalex.org/I119045251"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038516431","display_name":"Yiu\u2010ming Cheung","orcid":"https://orcid.org/0000-0001-7629-4648"},"institutions":[{"id":"https://openalex.org/I141568987","display_name":"Hong Kong Baptist University","ror":"https://ror.org/0145fw131","country_code":"HK","type":"education","lineage":["https://openalex.org/I141568987"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Yiu-ming Cheung","raw_affiliation_strings":["Department of Computer Science, Hong Kong Baptist University, Hong Kong SAR, China"],"raw_orcid":"https://orcid.org/0000-0001-7629-4648","affiliations":[{"raw_affiliation_string":"Department of Computer Science, Hong Kong Baptist University, Hong Kong SAR, China","institution_ids":["https://openalex.org/I141568987"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100352180","display_name":"Xin Liu","orcid":"https://orcid.org/0000-0002-0011-6260"},"institutions":[{"id":"https://openalex.org/I119045251","display_name":"Huaqiao University","ror":"https://ror.org/03frdh605","country_code":"CN","type":"education","lineage":["https://openalex.org/I119045251"]},{"id":"https://openalex.org/I141568987","display_name":"Hong Kong Baptist University","ror":"https://ror.org/0145fw131","country_code":"HK","type":"education","lineage":["https://openalex.org/I141568987"]},{"id":"https://openalex.org/I4210123185","display_name":"Zhejiang Lab","ror":"https://ror.org/02m2h7991","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210123185"]}],"countries":["CN","HK"],"is_corresponding":false,"raw_author_name":"Xin Liu","raw_affiliation_strings":["Department of Computer Science, Huaqiao University, Xiamen, China","Artificial Intelligence Research Institute, Zhejiang Lab, Hangzhou, China","Department of Computer Science, Hong Kong Baptist University, Hong Kong SAR, China"],"raw_orcid":"https://orcid.org/0000-0002-0011-6260","affiliations":[{"raw_affiliation_string":"Department of Computer Science, Huaqiao University, Xiamen, China","institution_ids":["https://openalex.org/I119045251"]},{"raw_affiliation_string":"Artificial Intelligence Research Institute, Zhejiang Lab, Hangzhou, China","institution_ids":["https://openalex.org/I4210123185"]},{"raw_affiliation_string":"Department of Computer Science, Hong Kong Baptist University, Hong Kong SAR, China","institution_ids":["https://openalex.org/I141568987"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025396815","display_name":"Zhen Cui","orcid":"https://orcid.org/0000-0002-0543-4196"},"institutions":[{"id":"https://openalex.org/I200845125","display_name":"Nanjing University of Information Science and Technology","ror":"https://ror.org/02y0rxk19","country_code":"CN","type":"education","lineage":["https://openalex.org/I200845125"]},{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhen Cui","raw_affiliation_strings":["Key Laboratory of Intelligent Perception and Systems for High-Dimensional Information of Ministry of Education, Nanjing University of Science and Technology, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0002-0543-4196","affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Perception and Systems for High-Dimensional Information of Ministry of Education, Nanjing University of Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I200845125","https://openalex.org/I36399199"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5021697903","display_name":"Taihao Li","orcid":"https://orcid.org/0000-0003-3279-7125"},"institutions":[{"id":"https://openalex.org/I4210123185","display_name":"Zhejiang Lab","ror":"https://ror.org/02m2h7991","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210123185"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Taihao Li","raw_affiliation_strings":["Artificial Intelligence Research Institute, Zhejiang Lab, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-3279-7125","affiliations":[{"raw_affiliation_string":"Artificial Intelligence Research Institute, Zhejiang Lab, Hangzhou, China","institution_ids":["https://openalex.org/I4210123185"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.4276,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.83964556,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"8","issue":"1","first_page":"697","last_page":"709"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10400","display_name":"Network Security and Intrusion Detection","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T11241","display_name":"Advanced Malware Detection Techniques","score":0.9894999861717224,"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/modal","display_name":"Modal","score":0.7686029672622681},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6950478553771973},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.6233034133911133},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.6098010540008545},{"id":"https://openalex.org/keywords/anomaly","display_name":"Anomaly (physics)","score":0.5847443342208862},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5644426941871643},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5481021404266357},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.47573161125183105},{"id":"https://openalex.org/keywords/contrast","display_name":"Contrast (vision)","score":0.434894859790802},{"id":"https://openalex.org/keywords/modalities","display_name":"Modalities","score":0.42574185132980347},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.4218767285346985},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.4185711145401001},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.41618525981903076},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.39874571561813354},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3865017890930176},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.18370530009269714},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11531522870063782}],"concepts":[{"id":"https://openalex.org/C71139939","wikidata":"https://www.wikidata.org/wiki/Q910194","display_name":"Modal","level":2,"score":0.7686029672622681},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6950478553771973},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.6233034133911133},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.6098010540008545},{"id":"https://openalex.org/C12997251","wikidata":"https://www.wikidata.org/wiki/Q567560","display_name":"Anomaly (physics)","level":2,"score":0.5847443342208862},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5644426941871643},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5481021404266357},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.47573161125183105},{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.434894859790802},{"id":"https://openalex.org/C2779903281","wikidata":"https://www.wikidata.org/wiki/Q6888026","display_name":"Modalities","level":2,"score":0.42574185132980347},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.4218767285346985},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.4185711145401001},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.41618525981903076},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.39874571561813354},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3865017890930176},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.18370530009269714},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11531522870063782},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C26873012","wikidata":"https://www.wikidata.org/wiki/Q214781","display_name":"Condensed matter physics","level":1,"score":0.0},{"id":"https://openalex.org/C188027245","wikidata":"https://www.wikidata.org/wiki/Q750446","display_name":"Polymer chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/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/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tetci.2023.3256466","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/tetci.2023.3256466","pdf_url":null,"source":{"id":"https://openalex.org/S4210210251","display_name":"IEEE Transactions on Emerging Topics in Computational Intelligence","issn_l":"2471-285X","issn":["2471-285X"],"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 Emerging Topics in Computational Intelligence","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.7200000286102295}],"awards":[{"id":"https://openalex.org/G4184181208","display_name":null,"funder_award_id":"61673185","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8811941144","display_name":"\u5927\u6570\u636e\u5e73\u53f0\u4e0b\u57fa\u4e8e\u591a\u5143\u975e\u5b8c\u5907\u4fe1\u606f\u7684\u56fe\u50cf\u68c0\u7d22\u5173\u952e\u6280\u672f\u7814\u7a76","funder_award_id":"61672444","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W1982893028","https://openalex.org/W1985242443","https://openalex.org/W2046103274","https://openalex.org/W2047520371","https://openalex.org/W2048030021","https://openalex.org/W2092822777","https://openalex.org/W2250539671","https://openalex.org/W2281971726","https://openalex.org/W2341528187","https://openalex.org/W2606473278","https://openalex.org/W2758021822","https://openalex.org/W2783741806","https://openalex.org/W2788954130","https://openalex.org/W2793245122","https://openalex.org/W2800845013","https://openalex.org/W2802864907","https://openalex.org/W2896457183","https://openalex.org/W2904341359","https://openalex.org/W2977916740","https://openalex.org/W2981087920","https://openalex.org/W3004172398","https://openalex.org/W3035042266","https://openalex.org/W3042596116","https://openalex.org/W3044063956","https://openalex.org/W3047056580","https://openalex.org/W3101998545","https://openalex.org/W3122380385","https://openalex.org/W3132761010","https://openalex.org/W3157408989","https://openalex.org/W3204075450","https://openalex.org/W6631190155","https://openalex.org/W6697109910"],"related_works":["https://openalex.org/W2806741695","https://openalex.org/W4290647774","https://openalex.org/W3189286258","https://openalex.org/W3207797160","https://openalex.org/W3210364259","https://openalex.org/W4300558037","https://openalex.org/W2912112202","https://openalex.org/W2667207928","https://openalex.org/W4377864969","https://openalex.org/W2972971679"],"abstract_inverted_index":{"Cross-modal":[0],"anomaly":[1,68],"detection":[2,51,69],"is":[3,101,127,156,174,202],"a":[4,98,242],"relatively":[5],"new":[6],"and":[7,41,52,74,116,135],"challenging":[8],"research":[9],"topic":[10,34],"in":[11,112,140],"machine":[12],"learning":[13,172,200],"field,":[14],"which":[15,79],"aims":[16],"at":[17],"identifying":[18],"the":[19,47,82,91,120,123,132,145,148,160,165,178,182,189,198,207,211,215,233,237],"anomalies":[20,89,134,139],"whose":[21,108],"patterns":[22,109],"are":[23,110],"disparate":[24,111],"across":[25,226],"different":[26,193,217,227],"modalities.":[27,228],"As":[28],"far":[29],"as":[30],"we":[31],"know,":[32],"this":[33,61],"has":[35],"yet":[36],"to":[37,85,104,129,158,176,204],"be":[38,96,223],"well":[39,224],"studied,":[40],"existing":[42],"works":[43],"often":[44],"suffer":[45],"from":[46],"incomplete":[48],"anomalous":[49,220],"data":[50,54,142,208],"low":[53],"utilization":[55],"problems.":[56],"To":[57,95],"alleviate":[58],"these":[59],"limitations,":[60],"paper":[62],"proposes":[63],"an":[64,168],"efficient":[65,169],"deep":[66],"cross-modal":[67,88,117,162],"approach":[70],"via":[71],"Triple-adaptive":[72],"Network":[73],"Bi-quintuple":[75],"Contrastive":[76],"Learning":[77],"(TN-BCL),":[78],"lies":[80],"among":[81],"earliest":[83],"attempt":[84],"detect":[86,131],"various":[87,106],"within":[90],"heterogeneous":[92],"multi-modal":[93,141],"data.":[94,195],"specific,":[97],"triple-adaptive":[99],"network":[100,126],"explicitly":[102],"designed":[103,175],"identify":[105],"anomalies,":[107],"both":[113],"single-modal":[114],"scenario":[115],"scenario.":[118],"On":[119,144],"one":[121],"hand,":[122,147],"top":[124],"branch":[125],"utilized":[128],"adaptively":[130],"attribute":[133,184,194],"part":[136],"of":[137,214,219],"mixed":[138],"samples.":[143],"other":[146],"bottom":[149],"two-branch":[150],"network,":[151],"with":[152,241],"shared":[153],"residual":[154],"blocks,":[155],"leveraged":[157],"learn":[159],"discriminative":[161],"embeddings.":[163],"At":[164],"same":[166,183],"time,":[167],"bi-quintuple":[170],"contrastive":[171],"method":[173],"enhance":[177],"feature":[179,190],"correlation":[180],"between":[181,192],"data,":[185],"while":[186],"maximally":[187],"enlarging":[188],"difference":[191],"Besides":[196],"that,":[197],"bidirectional":[199],"scheme":[201],"employed":[203],"significantly":[205],"improve":[206],"utilization.":[209],"Through":[210],"joint":[212],"exploitation":[213],"above,":[216],"kinds":[218],"samples":[221],"can":[222],"detected":[225],"Extensive":[229],"experiments":[230],"show":[231],"that":[232],"proposed":[234],"framework":[235],"outperforms":[236],"state-of-the-art":[238],"competing":[239],"methods,":[240],"large":[243],"improvement":[244],"margin.":[245]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":1}],"updated_date":"2025-12-21T23:12:01.093139","created_date":"2025-10-10T00:00:00"}