{"id":"https://openalex.org/W4406208942","doi":"https://doi.org/10.1109/icarcv63323.2024.10821687","title":"Enhancing Weakly Supervised Anomaly Detection in Surveillance Videos: The CLIP-Augmented Bimodal Memory Enhanced Network","display_name":"Enhancing Weakly Supervised Anomaly Detection in Surveillance Videos: The CLIP-Augmented Bimodal Memory Enhanced Network","publication_year":2024,"publication_date":"2024-12-12","ids":{"openalex":"https://openalex.org/W4406208942","doi":"https://doi.org/10.1109/icarcv63323.2024.10821687"},"language":"en","primary_location":{"id":"doi:10.1109/icarcv63323.2024.10821687","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icarcv63323.2024.10821687","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 18th International Conference on Control, Automation, Robotics and Vision (ICARCV)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5031153007","display_name":"Yinglong Wu","orcid":"https://orcid.org/0009-0002-6030-2548"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yinglong Wu","raw_affiliation_strings":["Unmanned System Research Institute, Northwestern Polytechnical Uni-versity,Xi'an,Shaanxi,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Unmanned System Research Institute, Northwestern Polytechnical Uni-versity,Xi'an,Shaanxi,China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068625837","display_name":"Zhaoyong Mao","orcid":"https://orcid.org/0000-0001-5746-6133"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhaoyong Mao","raw_affiliation_strings":["Unmanned System Research Institute, Northwestern Polytechnical Uni-versity,Xi'an,Shaanxi,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Unmanned System Research Institute, Northwestern Polytechnical Uni-versity,Xi'an,Shaanxi,China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036236828","display_name":"Chenyang Yu","orcid":"https://orcid.org/0000-0002-5156-117X"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chenyang Yu","raw_affiliation_strings":["Unmanned System Research Institute, Northwestern Polytechnical Uni-versity,Xi'an,Shaanxi,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Unmanned System Research Institute, Northwestern Polytechnical Uni-versity,Xi'an,Shaanxi,China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5115591803","display_name":"Guanglin Liu","orcid":"https://orcid.org/0009-0008-6844-9652"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guanglin Liu","raw_affiliation_strings":["Unmanned System Research Institute, Northwestern Polytechnical Uni-versity,Xi'an,Shaanxi,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Unmanned System Research Institute, Northwestern Polytechnical Uni-versity,Xi'an,Shaanxi,China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5081646661","display_name":"Junge Shen","orcid":"https://orcid.org/0000-0002-6563-9206"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junge Shen","raw_affiliation_strings":["Unmanned System Research Institute, Northwestern Polytechnical Uni-versity,Xi'an,Shaanxi,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Unmanned System Research Institute, Northwestern Polytechnical Uni-versity,Xi'an,Shaanxi,China","institution_ids":["https://openalex.org/I17145004"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I17145004"],"apc_list":null,"apc_paid":null,"fwci":0.3556,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.60805449,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"756","last_page":"762"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9968000054359436,"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":0.9968000054359436,"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":0.9944999814033508,"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/T12357","display_name":"Digital Media Forensic Detection","score":0.9340000152587891,"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/anomaly-detection","display_name":"Anomaly detection","score":0.7853259444236755},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6946612596511841},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.45706573128700256},{"id":"https://openalex.org/keywords/anomaly","display_name":"Anomaly (physics)","score":0.4196498394012451},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4094172716140747},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.059310078620910645}],"concepts":[{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.7853259444236755},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6946612596511841},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45706573128700256},{"id":"https://openalex.org/C12997251","wikidata":"https://www.wikidata.org/wiki/Q567560","display_name":"Anomaly (physics)","level":2,"score":0.4196498394012451},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4094172716140747},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.059310078620910645},{"id":"https://openalex.org/C26873012","wikidata":"https://www.wikidata.org/wiki/Q214781","display_name":"Condensed matter physics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icarcv63323.2024.10821687","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icarcv63323.2024.10821687","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 18th International Conference on Control, Automation, Robotics and Vision (ICARCV)","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":26,"referenced_works":["https://openalex.org/W1522734439","https://openalex.org/W2194775991","https://openalex.org/W2531897166","https://openalex.org/W2921491036","https://openalex.org/W2963524571","https://openalex.org/W2963795951","https://openalex.org/W3058842179","https://openalex.org/W3089682612","https://openalex.org/W3136793533","https://openalex.org/W3168600998","https://openalex.org/W3202590754","https://openalex.org/W3208884944","https://openalex.org/W4283811196","https://openalex.org/W4285606530","https://openalex.org/W4312554543","https://openalex.org/W4319299969","https://openalex.org/W4382461973","https://openalex.org/W4382464562","https://openalex.org/W4386076087","https://openalex.org/W4386597062","https://openalex.org/W4388854793","https://openalex.org/W4393153999","https://openalex.org/W4402469100","https://openalex.org/W6791353385","https://openalex.org/W6811013733","https://openalex.org/W6861592674"],"related_works":["https://openalex.org/W2806741695","https://openalex.org/W2772917594","https://openalex.org/W2036807459","https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747"],"abstract_inverted_index":{"Aiming":[0],"at":[1],"the":[2,9,45,49,56,76,93,97,105,127],"challenges":[3],"of":[4,13,52,58,61,81,86,89,114],"surveillance":[5,26,53],"video":[6,27,34],"anomaly":[7,28],"detection(SVAD),especially":[8],"diversity":[10,60],"and":[11,96,110,129],"openness":[12],"its":[14],"event":[15],"types,":[16],"we":[17,31,64],"propose":[18],"CLIP-Augmented":[19],"Bimodal":[20,68],"Memory":[21,69],"Enhanced":[22],"Network":[23],"for":[24,78],"weakly-supervised":[25],"detection.":[29],"Specifically,":[30],"design":[32,66],"a":[33,67],"feature":[35],"extraction":[36],"module":[37],"based":[38],"on":[39,126],"CLIP":[40],"feature,":[41],"which":[42,71],"significantly":[43],"improves":[44],"ability":[46,107],"to":[47,74,103,108],"capture":[48],"semantic":[50,59],"content":[51],"videos.":[54],"Given":[55],"problem":[57],"abnormal":[62,82],"events,":[63],"further":[65],"Unit(BMMU),":[70],"is":[72],"used":[73],"enhance":[75,104],"model":[77],"all":[79],"types":[80,113],"events":[83],"by":[84],"means":[85],"two":[87],"kinds":[88],"memory":[90],"module,":[91],"storing":[92],"visual":[94],"features":[95],"textual":[98],"descriptive":[99],"features,":[100],"in":[101],"order":[102],"model's":[106],"remember":[109],"distinguish":[111],"various":[112],"anomalous":[115],"features.":[116],"Extensive":[117],"experiments":[118],"demonstrate":[119],"that":[120],"our":[121],"approach":[122],"achieves":[123],"state-of-the-art":[124],"performance":[125],"UCF-Crime":[128],"XD-Violence":[130],"benchmark":[131],"datasets.":[132]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}