{"id":"https://openalex.org/W7134139670","doi":"https://doi.org/10.1186/s13677-026-00872-y","title":"LMM-guided knowledge distillation for power operation object detection in cloud-edge environment","display_name":"LMM-guided knowledge distillation for power operation object detection in cloud-edge environment","publication_year":2026,"publication_date":"2026-03-06","ids":{"openalex":"https://openalex.org/W7134139670","doi":"https://doi.org/10.1186/s13677-026-00872-y"},"language":"en","primary_location":{"id":"doi:10.1186/s13677-026-00872-y","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s13677-026-00872-y","pdf_url":null,"source":{"id":"https://openalex.org/S2486819371","display_name":"Journal of Cloud Computing Advances Systems and Applications","issn_l":"2192-113X","issn":["2192-113X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Cloud Computing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1186/s13677-026-00872-y","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101812141","display_name":"Bingyang Li","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Bingyang Li","raw_affiliation_strings":["State Grid Henan Marketing Service Center, Zhengzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Grid Henan Marketing Service Center, Zhengzhou, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5128287113","display_name":"Xiangyang Zhang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xiangyang Zhang","raw_affiliation_strings":["State Grid Henan Marketing Service Center, Zhengzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Grid Henan Marketing Service Center, Zhengzhou, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5128303090","display_name":"Lin Li","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lin Li","raw_affiliation_strings":["State Grid Henan Marketing Service Center, Zhengzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Grid Henan Marketing Service Center, Zhengzhou, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5128284244","display_name":"Jingjing Du","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jingjing Du","raw_affiliation_strings":["State Grid Henan Marketing Service Center, Zhengzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Grid Henan Marketing Service Center, Zhengzhou, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5128282864","display_name":"Pan Wang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Pan Wang","raw_affiliation_strings":["State Grid Henan Marketing Service Center, Zhengzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Grid Henan Marketing Service Center, Zhengzhou, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5101812141"],"corresponding_institution_ids":[],"apc_list":{"value":1490,"currency":"USD","value_usd":1490},"apc_paid":{"value":1490,"currency":"USD","value_usd":1490},"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.26507377,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"15","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.5889000296592712,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.5889000296592712,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.14480000734329224,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.015399999916553497,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.7384999990463257},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6625999808311462},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.605400025844574},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.5990999937057495},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.5659999847412109},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.5604000091552734},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.5206000208854675},{"id":"https://openalex.org/keywords/distillation","display_name":"Distillation","score":0.4431000053882599},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.42179998755455017},{"id":"https://openalex.org/keywords/throughput","display_name":"Throughput","score":0.4205999970436096}],"concepts":[{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.7384999990463257},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7121999859809875},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6625999808311462},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.605400025844574},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.5990999937057495},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.5659999847412109},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.5604000091552734},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.5206000208854675},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5038999915122986},{"id":"https://openalex.org/C204030448","wikidata":"https://www.wikidata.org/wiki/Q101017","display_name":"Distillation","level":2,"score":0.4431000053882599},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4406000077724457},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.42179998755455017},{"id":"https://openalex.org/C157764524","wikidata":"https://www.wikidata.org/wiki/Q1383412","display_name":"Throughput","level":3,"score":0.4205999970436096},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.4068000018596649},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.39079999923706055},{"id":"https://openalex.org/C117797892","wikidata":"https://www.wikidata.org/wiki/Q286363","display_name":"Shadow (psychology)","level":2,"score":0.3749000132083893},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.34779998660087585},{"id":"https://openalex.org/C2776836416","wikidata":"https://www.wikidata.org/wiki/Q1364844","display_name":"False alarm","level":2,"score":0.34130001068115234},{"id":"https://openalex.org/C175309249","wikidata":"https://www.wikidata.org/wiki/Q725864","display_name":"Pipeline transport","level":2,"score":0.3382999897003174},{"id":"https://openalex.org/C96608239","wikidata":"https://www.wikidata.org/wiki/Q1199823","display_name":"Statistical power","level":2,"score":0.32690000534057617},{"id":"https://openalex.org/C124304363","wikidata":"https://www.wikidata.org/wiki/Q673661","display_name":"Abstraction","level":2,"score":0.3264999985694885},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.3179999887943268},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.3176000118255615},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.29580000042915344},{"id":"https://openalex.org/C193536780","wikidata":"https://www.wikidata.org/wiki/Q1513153","display_name":"Edge detection","level":4,"score":0.2842000126838684},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.28349998593330383},{"id":"https://openalex.org/C113843644","wikidata":"https://www.wikidata.org/wiki/Q901882","display_name":"Interface (matter)","level":4,"score":0.27300000190734863},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.27140000462532043},{"id":"https://openalex.org/C2781122975","wikidata":"https://www.wikidata.org/wiki/Q16928266","display_name":"Semantic feature","level":2,"score":0.27059999108314514},{"id":"https://openalex.org/C138236772","wikidata":"https://www.wikidata.org/wiki/Q25098575","display_name":"Edge device","level":3,"score":0.2689000070095062},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.2653999924659729},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.26019999384880066},{"id":"https://openalex.org/C168820333","wikidata":"https://www.wikidata.org/wiki/Q448889","display_name":"Visual inspection","level":2,"score":0.2583000063896179},{"id":"https://openalex.org/C2776326872","wikidata":"https://www.wikidata.org/wiki/Q1192335","display_name":"Shadow mask","level":2,"score":0.25450000166893005},{"id":"https://openalex.org/C200601418","wikidata":"https://www.wikidata.org/wiki/Q2193887","display_name":"Reliability engineering","level":1,"score":0.25130000710487366},{"id":"https://openalex.org/C138268822","wikidata":"https://www.wikidata.org/wiki/Q1051925","display_name":"Resolution (logic)","level":2,"score":0.250900000333786},{"id":"https://openalex.org/C90312973","wikidata":"https://www.wikidata.org/wiki/Q7449052","display_name":"Semantic data model","level":2,"score":0.2500999867916107}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1186/s13677-026-00872-y","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s13677-026-00872-y","pdf_url":null,"source":{"id":"https://openalex.org/S2486819371","display_name":"Journal of Cloud Computing Advances Systems and Applications","issn_l":"2192-113X","issn":["2192-113X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Cloud Computing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:ac066ba1ae7c4c928d3a2498574eaa08","is_oa":true,"landing_page_url":"https://doaj.org/article/ac066ba1ae7c4c928d3a2498574eaa08","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Journal of Cloud Computing: Advances, Systems and Applications, Vol 15, Iss 1 (2026)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1186/s13677-026-00872-y","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s13677-026-00872-y","pdf_url":null,"source":{"id":"https://openalex.org/S2486819371","display_name":"Journal of Cloud Computing Advances Systems and Applications","issn_l":"2192-113X","issn":["2192-113X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Cloud Computing","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.587210476398468,"display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":49,"referenced_works":["https://openalex.org/W1536680647","https://openalex.org/W2342658046","https://openalex.org/W2570343428","https://openalex.org/W2604698059","https://openalex.org/W2788210750","https://openalex.org/W2895236117","https://openalex.org/W2904611181","https://openalex.org/W2914733350","https://openalex.org/W2963150697","https://openalex.org/W2983156430","https://openalex.org/W2997616671","https://openalex.org/W3033901474","https://openalex.org/W3034999214","https://openalex.org/W3158819498","https://openalex.org/W3159652950","https://openalex.org/W3203701986","https://openalex.org/W4214648418","https://openalex.org/W4214724741","https://openalex.org/W4233578038","https://openalex.org/W4285272834","https://openalex.org/W4312956471","https://openalex.org/W4379929801","https://openalex.org/W4386280890","https://openalex.org/W4386331642","https://openalex.org/W4386422321","https://openalex.org/W4387037106","https://openalex.org/W4391094120","https://openalex.org/W4392939809","https://openalex.org/W4396597118","https://openalex.org/W4399451944","https://openalex.org/W4402670135","https://openalex.org/W4402716330","https://openalex.org/W4402727669","https://openalex.org/W4403081466","https://openalex.org/W4403294788","https://openalex.org/W4404575065","https://openalex.org/W4404612908","https://openalex.org/W4405046591","https://openalex.org/W4406890298","https://openalex.org/W4409152534","https://openalex.org/W4410114739","https://openalex.org/W4411011476","https://openalex.org/W4414196925","https://openalex.org/W4415157126","https://openalex.org/W4415366841","https://openalex.org/W4415789117","https://openalex.org/W4416672389","https://openalex.org/W4417491036","https://openalex.org/W7128312789"],"related_works":[],"abstract_inverted_index":{"Power-grid":[0],"field":[1],"operations":[2],"demand":[3],"real-time":[4,19,155],"visual":[5],"monitoring":[6],"to":[7,67,104,119,134],"verify":[8],"personal":[9],"protective":[10],"equipment":[11],"and":[12,82,94,125,150],"tool":[13],"usage":[14],"under":[15],"large":[16,65],"depth-of-field.":[17],"Conventional":[18],"detectors":[20],"are":[21,43],"efficient":[22],"but":[23],"closed-vocabulary;":[24],"they":[25],"struggle":[26],"with":[27,75,89],"rare":[28,151],"or":[29],"unseen":[30],"objects.":[31],"Large":[32],"multimodal":[33],"models":[34],"(LMM)":[35],"offer":[36],"open-vocabulary":[37],"understanding":[38],"guided":[39],"by":[40],"prompts,":[41],"yet":[42],"too":[44],"heavy":[45],"for":[46,165],"edge":[47,158],"deployment.":[48],"To":[49],"address":[50],"these":[51],"challenges,":[52],"We":[53],"propose":[54],"an":[55],"LMM-guided":[56],"distillation":[57,100,115],"framework":[58],"that":[59],"transfers":[60],"prompt-grounded":[61],"semantics":[62],"from":[63],"a":[64,68,90,109,161],"teacher":[66,105],"lightweight":[69],"YOLO-style":[70],"student.":[71],"The":[72,85],"teacher,":[73],"queried":[74],"expanded":[76],"prompt":[77,123,137],"set,":[78],"produces":[79],"pseudo":[80],"labels":[81],"region\u2013text":[83],"embeddings.":[84],"student":[86,102,117,132],"is":[87],"trained":[88],"standard":[91],"detection":[92],"objective":[93],"three":[95],"semantic":[96],"transfers.":[97],"Firstly,":[98],"feature":[99],"aligns":[101],"features":[103],"region":[106],"embeddings":[107],"via":[108],"linear":[110],"projector;":[111],"Secondly,":[112],"prompt-aware":[113],"logit":[114],"matches":[116],"logits":[118],"the":[120,135],"teacher\u2019s":[121],"temperature-smoothed":[122],"distribution;":[124],"thirdly,":[126],"vision\u2013language":[127],"contrastive":[128],"alignment":[129],"ties":[130],"projected":[131],"regions":[133],"correct":[136],"embedding.":[138],"Experiments":[139],"on":[140,147,157],"two":[141],"benchmark":[142],"dataset":[143],"indicate":[144],"consistent":[145],"gains":[146],"both":[148],"common":[149],"categories":[152],"while":[153],"retaining":[154],"throughput":[156],"hardware,":[159],"demonstrating":[160],"practical":[162],"cloud-to-edge":[163],"pipeline":[164],"safety":[166],"monitoring.":[167]},"counts_by_year":[],"updated_date":"2026-07-29T09:40:50.615796","created_date":"2026-03-08T00:00:00"}