{"id":"https://openalex.org/W4414153992","doi":"https://doi.org/10.1109/tmm.2025.3607837","title":"Anomaly-Led Prompting Learning Caption Generating Model and Benchmark","display_name":"Anomaly-Led Prompting Learning Caption Generating Model and Benchmark","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4414153992","doi":"https://doi.org/10.1109/tmm.2025.3607837"},"language":"en","primary_location":{"id":"doi:10.1109/tmm.2025.3607837","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2025.3607837","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"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 Multimedia","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/A5083821638","display_name":"Qianyue Bao","orcid":"https://orcid.org/0000-0002-6025-3881"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qianyue Bao","raw_affiliation_strings":["School of Artificial Intelligence, Xidian University, Xi’an, China","School of Artificial Intelligence, Xidian University, Xi'an, P.R. China"],"raw_orcid":"https://orcid.org/0000-0002-6025-3881","affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Xidian University, Xi’an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"School of Artificial Intelligence, Xidian University, Xi'an, P.R. China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100453075","display_name":"Fang Liu","orcid":"https://orcid.org/0000-0002-5669-9354"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fang Liu","raw_affiliation_strings":["School of Artificial Intelligence, Xidian University, Xi’an, China","School of Artificial Intelligence, Xidian University, Xi'an, P.R. China"],"raw_orcid":"https://orcid.org/0000-0002-5669-9354","affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Xidian University, Xi’an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"School of Artificial Intelligence, Xidian University, Xi'an, P.R. China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050630882","display_name":"Licheng Jiao","orcid":"https://orcid.org/0000-0003-3354-9617"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Licheng Jiao","raw_affiliation_strings":["School of Artificial Intelligence, Xidian University, Xi’an, China","School of Artificial Intelligence, Xidian University, Xi'an, P.R. China"],"raw_orcid":"https://orcid.org/0000-0003-3354-9617","affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Xidian University, Xi’an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"School of Artificial Intelligence, Xidian University, Xi'an, P.R. China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Yang Liu","orcid":"https://orcid.org/0000-0002-2604-4381"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yang Liu","raw_affiliation_strings":["School of Artificial Intelligence, Xidian University, Xi’an, China","School of Artificial Intelligence, Xidian University, Xi'an, P.R. China"],"raw_orcid":"https://orcid.org/0000-0002-2604-4381","affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Xidian University, Xi’an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"School of Artificial Intelligence, Xidian University, Xi'an, P.R. China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100386657","display_name":"Shuo Li","orcid":"https://orcid.org/0000-0003-2002-3894"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuo Li","raw_affiliation_strings":["School of Artificial Intelligence, Xidian University, Xi’an, China","School of Artificial Intelligence, Xidian University, Xi'an, P.R. China"],"raw_orcid":"https://orcid.org/0000-0003-2002-3894","affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Xidian University, Xi’an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"School of Artificial Intelligence, Xidian University, Xi'an, P.R. China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100443350","display_name":"Lingling Li","orcid":"https://orcid.org/0000-0002-6130-2518"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lingling Li","raw_affiliation_strings":["School of Artificial Intelligence, Xidian University, Xi’an, China","School of Artificial Intelligence, Xidian University, Xi'an, P.R. China"],"raw_orcid":"https://orcid.org/0000-0002-6130-2518","affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Xidian University, Xi’an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"School of Artificial Intelligence, Xidian University, Xi'an, P.R. China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100331710","display_name":"Xu Liu","orcid":"https://orcid.org/0000-0002-8780-5455"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xu Liu","raw_affiliation_strings":["School of Artificial Intelligence, Xidian University, Xi’an, China","School of Artificial Intelligence, Xidian University, Xi'an, P.R. China"],"raw_orcid":"https://orcid.org/0000-0002-8780-5455","affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Xidian University, Xi’an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"School of Artificial Intelligence, Xidian University, Xi'an, P.R. China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100382959","display_name":"Xinyi Wang","orcid":"https://orcid.org/0000-0003-1585-1724"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinyi Wang","raw_affiliation_strings":["School of Artificial Intelligence, Xidian University, Xi’an, China","School of Artificial Intelligence, Xidian University, Xi'an, P.R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Xidian University, Xi’an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"School of Artificial Intelligence, Xidian University, Xi'an, P.R. China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5063776325","display_name":"Baoliang Chen","orcid":"https://orcid.org/0000-0003-4884-6956"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Baoliang Chen","raw_affiliation_strings":["School of Artificial Intelligence, Xidian University, Xi’an, China","School of Artificial Intelligence, Xidian University, Xi'an, P.R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Xidian University, Xi’an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"School of Artificial Intelligence, Xidian University, Xi'an, P.R. China","institution_ids":["https://openalex.org/I149594827"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I149594827"],"apc_list":null,"apc_paid":null,"fwci":0.7655,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.74896069,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"27","issue":null,"first_page":"8366","last_page":"8380"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9957000017166138,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9957000017166138,"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/T11439","display_name":"Video Analysis and Summarization","score":0.9710999727249146,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9610000252723694,"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/benchmark","display_name":"Benchmark (surveying)","score":0.5992000102996826},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.5601000189781189},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.555899977684021},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.5422999858856201},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.5281999707221985},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.46630001068115234},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.4602999985218048},{"id":"https://openalex.org/keywords/language-model","display_name":"Language model","score":0.4334000051021576},{"id":"https://openalex.org/keywords/task-analysis","display_name":"Task analysis","score":0.4106999933719635}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.896399974822998},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5992000102996826},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.5601000189781189},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.555899977684021},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.5422999858856201},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5286999940872192},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.5281999707221985},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.46630001068115234},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.4602999985218048},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.4334000051021576},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.4106999933719635},{"id":"https://openalex.org/C2779903281","wikidata":"https://www.wikidata.org/wiki/Q6888026","display_name":"Modalities","level":2,"score":0.4074000120162964},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.39969998598098755},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.367900013923645},{"id":"https://openalex.org/C157657479","wikidata":"https://www.wikidata.org/wiki/Q2367247","display_name":"Closed captioning","level":3,"score":0.3434000015258789},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3384000062942505},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.33739998936653137},{"id":"https://openalex.org/C170858558","wikidata":"https://www.wikidata.org/wiki/Q1394144","display_name":"Automatic summarization","level":2,"score":0.3237999975681305},{"id":"https://openalex.org/C12997251","wikidata":"https://www.wikidata.org/wiki/Q567560","display_name":"Anomaly (physics)","level":2,"score":0.3221000134944916},{"id":"https://openalex.org/C66905080","wikidata":"https://www.wikidata.org/wiki/Q17005494","display_name":"Binary classification","level":3,"score":0.3158000111579895},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3068999946117401},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.30660000443458557},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.3034999966621399},{"id":"https://openalex.org/C44291984","wikidata":"https://www.wikidata.org/wiki/Q1074173","display_name":"Question answering","level":2,"score":0.27970001101493835},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.2770000100135803},{"id":"https://openalex.org/C31395832","wikidata":"https://www.wikidata.org/wiki/Q1318674","display_name":"Testbed","level":2,"score":0.27140000462532043},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.2639000117778778}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tmm.2025.3607837","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2025.3607837","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"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 Multimedia","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1792187206","display_name":null,"funder_award_id":"62406231","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7476793456","display_name":null,"funder_award_id":"2023M742738","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G8929578879","display_name":null,"funder_award_id":"62076192","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"},{"id":"https://openalex.org/F4320321543","display_name":"China Postdoctoral Science Foundation","ror":"https://ror.org/0426zh255"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":96,"referenced_works":["https://openalex.org/W1956340063","https://openalex.org/W2101105183","https://openalex.org/W2133459682","https://openalex.org/W2150824314","https://openalex.org/W2163612318","https://openalex.org/W2183916895","https://openalex.org/W2194775991","https://openalex.org/W2341058432","https://openalex.org/W2425121537","https://openalex.org/W2753526808","https://openalex.org/W2777342313","https://openalex.org/W2890718122","https://openalex.org/W2896457183","https://openalex.org/W2952132648","https://openalex.org/W2953461088","https://openalex.org/W2962681491","https://openalex.org/W2962934715","https://openalex.org/W2962958773","https://openalex.org/W2963524571","https://openalex.org/W2963610939","https://openalex.org/W2963795951","https://openalex.org/W2963916161","https://openalex.org/W2982875523","https://openalex.org/W2989322838","https://openalex.org/W2990152177","https://openalex.org/W2990503944","https://openalex.org/W3011819854","https://openalex.org/W3014352273","https://openalex.org/W3015495912","https://openalex.org/W3016459781","https://openalex.org/W3036900224","https://openalex.org/W3045147787","https://openalex.org/W3058842179","https://openalex.org/W3081430643","https://openalex.org/W3082213779","https://openalex.org/W3083405884","https://openalex.org/W3085932345","https://openalex.org/W3089682612","https://openalex.org/W3093119843","https://openalex.org/W3101768930","https://openalex.org/W3107664750","https://openalex.org/W3127131334","https://openalex.org/W3128446401","https://openalex.org/W3129071613","https://openalex.org/W3136793533","https://openalex.org/W3168600998","https://openalex.org/W3168984673","https://openalex.org/W3176425931","https://openalex.org/W3184357402","https://openalex.org/W3198377975","https://openalex.org/W3200038569","https://openalex.org/W3202590754","https://openalex.org/W3205021045","https://openalex.org/W3212899624","https://openalex.org/W3214544398","https://openalex.org/W3216659302","https://openalex.org/W3217340782","https://openalex.org/W4200632612","https://openalex.org/W4210416950","https://openalex.org/W4210668396","https://openalex.org/W4213101961","https://openalex.org/W4214663214","https://openalex.org/W4252403148","https://openalex.org/W4281250306","https://openalex.org/W4283811196","https://openalex.org/W4285169708","https://openalex.org/W4285293775","https://openalex.org/W4288771025","https://openalex.org/W4304084217","https://openalex.org/W4312560592","https://openalex.org/W4313067886","https://openalex.org/W4313291134","https://openalex.org/W4319996369","https://openalex.org/W4382461973","https://openalex.org/W4383428585","https://openalex.org/W4384161812","https://openalex.org/W4385245566","https://openalex.org/W4386065503","https://openalex.org/W4386065882","https://openalex.org/W4386066385","https://openalex.org/W4386071599","https://openalex.org/W4386234463","https://openalex.org/W4386432237","https://openalex.org/W4387968099","https://openalex.org/W4387969346","https://openalex.org/W4389104972","https://openalex.org/W4390872309","https://openalex.org/W4390873464","https://openalex.org/W4390874374","https://openalex.org/W4392426151","https://openalex.org/W4393153999","https://openalex.org/W4394744429","https://openalex.org/W4397026543","https://openalex.org/W4399039622","https://openalex.org/W4402557630","https://openalex.org/W4406857599"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2378211422","https://openalex.org/W4321353415","https://openalex.org/W2745001401","https://openalex.org/W2130974462","https://openalex.org/W2028665553","https://openalex.org/W2086519370","https://openalex.org/W4246352526"],"abstract_inverted_index":{"Video":[0,42],"anomaly":[1,38,238],"detection":[2],"(VAD)":[3],"is":[4,69,115],"an":[5,147],"important":[6],"intelligent":[7],"system":[8],"application,":[9],"but":[10,77],"most":[11],"current":[12],"research":[13],"views":[14],"it":[15,78],"as":[16,57,140],"a":[17,24,33,86,132,141],"coarse":[18],"binary":[19],"classification":[20],"task":[21,35],"that":[22],"lacks":[23],"fine-grained":[25,101],"understanding":[26,74,202],"of":[27,126,209,232,237],"abnormal":[28,107],"video":[29,37,96,188],"sequences.":[30],"We":[31,84,129,211],"explore":[32,184],"new":[34,110],"for":[36,65],"analysis":[39],"called":[40,134],"Comprehensive":[41],"Anomaly":[43],"Caption":[44],"(CVAC),":[45],"which":[46],"aims":[47],"to":[48,90,118,155,183,196],"generate":[49],"comprehensive":[50],"textual":[51],"captions":[52],"(containing":[53],"scene":[54,104],"information":[55,105],"such":[56],"time,":[58],"location,":[59],"anomalous":[60,62,158],"subject,":[61],"behavior,":[63],"etc.)":[64],"surveillance":[66],"videos.":[67,161,210],"CVAC":[68],"more":[70,119,164],"consistent":[71],"with":[72],"human":[73],"than":[75],"VAD,":[76],"has":[79],"not":[80],"been":[81],"well":[82],"explored.":[83],"constructed":[85],"large-scale":[87],"benchmark":[88],"CVACBench":[89,215],"lead":[91],"this":[92],"research.":[93],"For":[94],"each":[95],"clip,":[97],"we":[98,145,169],"provide":[99],"6":[100],"annotations,":[102],"including":[103],"and":[106,177,189,195,203,221,225],"keywords.":[108],"A":[109],"evaluation":[111],"metric":[112],"Abnormal-F1":[113],"(A-F1)":[114],"also":[116,130],"proposed":[117,223],"accurately":[120],"evaluate":[121],"the":[122,127,171,185,198,206,222,226,230,235],"caption":[123,219],"generation":[124],"performance":[125,200],"model.":[128],"designed":[131],"method":[133],"Anomaly-Led":[135],"Generating":[136,173],"Prompting":[137,174,180],"Transformer":[138],"(AGPFormer)":[139],"baseline.":[142],"In":[143],"AGPFormer,":[144],"introduce":[146],"anomaly-led":[148],"language":[149],"modeling":[150],"mechanism":[151],"(Anomaly-Led":[152],"MLM,":[153],"AMLM)":[154],"focus":[156],"on":[157,214],"events":[159],"in":[160,201,234],"To":[162],"achieve":[163],"efficient":[165],"cross-modal":[166],"semantic":[167],"understanding,":[168],"design":[170],"Interactive":[172],"(IGP)":[175],"module":[176,182],"Scene":[178],"Alignment":[179],"(SAP)":[181],"divide":[186],"between":[187],"text":[190],"modalities":[191],"from":[192],"multiple":[193],"perspectives,":[194],"improve":[197],"model's":[199],"reasoning":[204],"about":[205],"complex":[207],"semantics":[208],"conducted":[212],"experiments":[213],"by":[216],"using":[217],"traditional":[218],"metrics":[220],"metrics,":[224],"experimental":[227],"results":[228],"demonstrate":[229],"effectiveness":[231],"AGPFormer":[233],"field":[236],"caption.":[239]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}