{"id":"https://openalex.org/W4392399561","doi":"https://doi.org/10.1109/tits.2024.3365820","title":"TA-NET: Empowering Highly Efficient Traffic Anomaly Detection Through Multi-Head Local Self-Attention and Adaptive Hierarchical Feature Reconstruction","display_name":"TA-NET: Empowering Highly Efficient Traffic Anomaly Detection Through Multi-Head Local Self-Attention and Adaptive Hierarchical Feature Reconstruction","publication_year":2024,"publication_date":"2024-03-01","ids":{"openalex":"https://openalex.org/W4392399561","doi":"https://doi.org/10.1109/tits.2024.3365820"},"language":"en","primary_location":{"id":"doi:10.1109/tits.2024.3365820","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2024.3365820","pdf_url":null,"source":{"id":"https://openalex.org/S144771191","display_name":"IEEE Transactions on Intelligent Transportation Systems","issn_l":"1524-9050","issn":["1524-9050","1558-0016"],"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 Intelligent Transportation Systems","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/A5003633670","display_name":"Junzhou Chen","orcid":"https://orcid.org/0000-0002-3388-3503"},"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":true,"raw_author_name":"Junzhou Chen","raw_affiliation_strings":["Guangdong Provincial Key Laboratory of Intelligent Transport System, School of Intelligent Systems Engineering, Sun Yat-sen University, Guangzhou, China","School of Intelligent Systems Engineering, Guangdong Provincial Key Laboratory of Intelligent Transport System, Sun Yat-sen University, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-3388-3503","affiliations":[{"raw_affiliation_string":"Guangdong Provincial Key Laboratory of Intelligent Transport System, School of Intelligent Systems Engineering, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]},{"raw_affiliation_string":"School of Intelligent Systems Engineering, Guangdong Provincial Key Laboratory of Intelligent Transport System, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059405158","display_name":"Jiajun Pu","orcid":null},"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":"Jiajun Pu","raw_affiliation_strings":["Guangdong Provincial Key Laboratory of Intelligent Transport System, School of Intelligent Systems Engineering, Sun Yat-sen University, Guangzhou, China","School of Intelligent Systems Engineering, Guangdong Provincial Key Laboratory of Intelligent Transport System, Sun Yat-sen University, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Guangdong Provincial Key Laboratory of Intelligent Transport System, School of Intelligent Systems Engineering, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]},{"raw_affiliation_string":"School of Intelligent Systems Engineering, Guangdong Provincial Key Laboratory of Intelligent Transport System, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114172829","display_name":"Baiqiao Yin","orcid":"https://orcid.org/0009-0007-4362-0823"},"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":"Baiqiao Yin","raw_affiliation_strings":["Guangdong Provincial Key Laboratory of Intelligent Transport System, School of Intelligent Systems Engineering, Sun Yat-sen University, Guangzhou, China","School of Intelligent Systems Engineering, Guangdong Provincial Key Laboratory of Intelligent Transport System, Sun Yat-sen University, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Guangdong Provincial Key Laboratory of Intelligent Transport System, School of Intelligent Systems Engineering, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]},{"raw_affiliation_string":"School of Intelligent Systems Engineering, Guangdong Provincial Key Laboratory of Intelligent Transport System, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029387407","display_name":"Ronghui Zhang","orcid":"https://orcid.org/0000-0001-6107-4044"},"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":"Ronghui Zhang","raw_affiliation_strings":["Guangdong Provincial Key Laboratory of Intelligent Transport System, School of Intelligent Systems Engineering, Sun Yat-sen University, Guangzhou, China","School of Intelligent Systems Engineering, Guangdong Provincial Key Laboratory of Intelligent Transport System, Sun Yat-sen University, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0001-6107-4044","affiliations":[{"raw_affiliation_string":"Guangdong Provincial Key Laboratory of Intelligent Transport System, School of Intelligent Systems Engineering, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]},{"raw_affiliation_string":"School of Intelligent Systems Engineering, Guangdong Provincial Key Laboratory of Intelligent Transport System, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100696275","display_name":"Jun Jie Wu","orcid":"https://orcid.org/0000-0001-9128-2776"},"institutions":[{"id":"https://openalex.org/I190082696","display_name":"Durham University","ror":"https://ror.org/01v29qb04","country_code":"GB","type":"education","lineage":["https://openalex.org/I190082696"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Jun Jie Wu","raw_affiliation_strings":["Department of Engineering, Durham University, Durham, U.K"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Engineering, Durham University, Durham, U.K","institution_ids":["https://openalex.org/I190082696"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5003633670"],"corresponding_institution_ids":["https://openalex.org/I157773358"],"apc_list":null,"apc_paid":null,"fwci":1.3245,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.82328334,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":98},"biblio":{"volume":"25","issue":"9","first_page":"12372","last_page":"12384"},"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":0.9994999766349792,"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/T12127","display_name":"Software System Performance and Reliability","score":0.9850999712944031,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5695348978042603},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5662565231323242},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.545353353023529},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.5253647565841675},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4356529712677002},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.42228034138679504},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.38788801431655884}],"concepts":[{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5695348978042603},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5662565231323242},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.545353353023529},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.5253647565841675},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4356529712677002},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.42228034138679504},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.38788801431655884},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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:10.1109/tits.2024.3365820","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2024.3365820","pdf_url":null,"source":{"id":"https://openalex.org/S144771191","display_name":"IEEE Transactions on Intelligent Transportation Systems","issn_l":"1524-9050","issn":["1524-9050","1558-0016"],"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 Intelligent Transportation Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2020456614","display_name":null,"funder_award_id":"2023B1212060029","funder_id":"https://openalex.org/F4320335795","funder_display_name":"Science and Technology Planning Project of Guangdong Province"},{"id":"https://openalex.org/G3742414759","display_name":null,"funder_award_id":"51775565","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4427028770","display_name":null,"funder_award_id":"52172350","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5025365029","display_name":null,"funder_award_id":"2021A1515011794","funder_id":"https://openalex.org/F4320321921","funder_display_name":"Natural Science Foundation of Guangdong Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321921","display_name":"Natural Science Foundation of Guangdong Province","ror":null},{"id":"https://openalex.org/F4320335795","display_name":"Science and Technology Planning Project of Guangdong Province","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":78,"referenced_works":["https://openalex.org/W1507697757","https://openalex.org/W1522734439","https://openalex.org/W1967456674","https://openalex.org/W1990940610","https://openalex.org/W2005133178","https://openalex.org/W2012931101","https://openalex.org/W2058732752","https://openalex.org/W2125105611","https://openalex.org/W2128730107","https://openalex.org/W2138190221","https://openalex.org/W2159167759","https://openalex.org/W2341058432","https://openalex.org/W2418024524","https://openalex.org/W2539222059","https://openalex.org/W2560886373","https://openalex.org/W2619947201","https://openalex.org/W2625366777","https://openalex.org/W2766042998","https://openalex.org/W2777342313","https://openalex.org/W2884445357","https://openalex.org/W2921491036","https://openalex.org/W2961193895","https://openalex.org/W2962716148","https://openalex.org/W2963111876","https://openalex.org/W2963240734","https://openalex.org/W2963524571","https://openalex.org/W2963610939","https://openalex.org/W2963795951","https://openalex.org/W2963833205","https://openalex.org/W2964232409","https://openalex.org/W2970271202","https://openalex.org/W2981741013","https://openalex.org/W3014352273","https://openalex.org/W3042642865","https://openalex.org/W3058842179","https://openalex.org/W3101133846","https://openalex.org/W3112288498","https://openalex.org/W3127213927","https://openalex.org/W3136793533","https://openalex.org/W3168600998","https://openalex.org/W3176309086","https://openalex.org/W3198283894","https://openalex.org/W4212876679","https://openalex.org/W4282005462","https://openalex.org/W4283811196","https://openalex.org/W4284664380","https://openalex.org/W4285206108","https://openalex.org/W4285248811","https://openalex.org/W4292257774","https://openalex.org/W4293812118","https://openalex.org/W4309396261","https://openalex.org/W4310921506","https://openalex.org/W4312554543","https://openalex.org/W4312651322","https://openalex.org/W4312658081","https://openalex.org/W4312660387","https://openalex.org/W4312686942","https://openalex.org/W4312801234","https://openalex.org/W4323338624","https://openalex.org/W4383428585","https://openalex.org/W4385245566","https://openalex.org/W4385338661","https://openalex.org/W4386057769","https://openalex.org/W4386076087","https://openalex.org/W4386076149","https://openalex.org/W4386076398","https://openalex.org/W4390872366","https://openalex.org/W6630452646","https://openalex.org/W6640203683","https://openalex.org/W6747701563","https://openalex.org/W6765307894","https://openalex.org/W6766008006","https://openalex.org/W6803426362","https://openalex.org/W6838701581","https://openalex.org/W6846726380","https://openalex.org/W6846867676","https://openalex.org/W6847323253","https://openalex.org/W6955071965"],"related_works":["https://openalex.org/W2601157893","https://openalex.org/W2373006798","https://openalex.org/W2131735617","https://openalex.org/W2056912418","https://openalex.org/W2033213769","https://openalex.org/W4312376745","https://openalex.org/W2136016640","https://openalex.org/W2049538278","https://openalex.org/W2886173746","https://openalex.org/W2074736680"],"abstract_inverted_index":{"In":[0],"the":[1,23,68,76,84,89,93,99,116,121,124,134,140,146,152],"realm":[2],"of":[3,25,126,137],"road":[4],"surveillance":[5],"systems,":[6],"Automatic":[7],"Incident":[8],"Detection":[9],"(AID)":[10],"methods":[11],"have":[12],"shown":[13],"promise":[14],"in":[15],"swiftly":[16],"and":[17,75,106,143,158,173],"precisely":[18,27],"detecting":[19],"traffic":[20,48,181],"anomalies.":[21],"Nevertheless,":[22],"paucity":[24],"frame-level":[26],"annotated":[28],"training":[29],"data":[30],"poses":[31],"substantial":[32],"challenges.":[33],"To":[34],"navigate":[35],"this":[36],"issue,":[37],"we":[38],"introduce":[39],"TA-NET,":[40],"a":[41,53,170,175],"novel":[42],"framework":[43],"designed":[44],"to":[45,58,162],"highly":[46],"efficient":[47],"anomaly":[49,108,147],"detection.":[50],"TA-NET":[51],"utilizes":[52],"generic":[54],"dataset":[55,142],"pre-training":[56],"model":[57],"facilitate":[59],"weakly":[60],"supervised":[61],"learning.":[62],"It":[63],"comprises":[64],"two":[65],"main":[66],"modules:":[67],"Adaptive":[69],"Hierarchical":[70],"Feature":[71],"Reconstruction":[72],"Block":[73],"(AHFRB)":[74],"Multi-Head":[77],"Local":[78],"Self-Attention":[79],"(MHLSA)":[80],"mechanism.":[81],"AHFRB":[82],"refines":[83],"feature":[85],"extractor":[86],"by":[87,156],"reconstructing":[88],"features":[90],"drawn":[91],"from":[92],"pre-trained":[94],"model.":[95],"Concurrently,":[96],"MHLSA":[97],"scrutinizes":[98],"contextual":[100],"relationships":[101],"between":[102],"contiguous":[103],"video":[104],"segments":[105],"bolsters":[107],"detection":[109,183],"accuracy.":[110],"Our":[111],"approach":[112],"was":[113],"validated":[114],"using":[115],"TAD":[117],"testing":[118],"dataset,":[119],"with":[120],"results":[122],"highlighting":[123],"efficacy":[125],"TA-NET.":[127],"Remarkably,":[128],"it":[129],"accomplishes":[130],"an":[131],"Area":[132],"Under":[133],"Curve":[135],"(AUC)":[136],"94.47%":[138],"for":[139,145,178],"overall":[141],"70.78%":[144],"subset.":[148],"These":[149],"scores":[150],"surpass":[151],"previous":[153],"state-of-the-art":[154],"method":[155],"1.54%":[157],"4.96%,":[159],"respectively,":[160],"attesting":[161],"TA-NET\u2019s":[163],"superior":[164],"performance.":[165],"Consequently,":[166],"our":[167],"study":[168],"offers":[169],"fresh":[171],"perspective":[172],"sets":[174],"new":[176],"standard":[177],"future":[179],"video-based":[180],"incident":[182],"research.":[184]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
