{"id":"https://openalex.org/W4411397532","doi":"https://doi.org/10.1007/s40747-025-01888-8","title":"VMC-Net: multi-scale feature aggregation and distribution with contextual attention guided fusion for aerial object detection","display_name":"VMC-Net: multi-scale feature aggregation and distribution with contextual attention guided fusion for aerial object detection","publication_year":2025,"publication_date":"2025-06-18","ids":{"openalex":"https://openalex.org/W4411397532","doi":"https://doi.org/10.1007/s40747-025-01888-8"},"language":"en","primary_location":{"id":"doi:10.1007/s40747-025-01888-8","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s40747-025-01888-8","pdf_url":"https://link.springer.com/content/pdf/10.1007/s40747-025-01888-8.pdf","source":{"id":"https://openalex.org/S3035462843","display_name":"Complex & Intelligent Systems","issn_l":"2198-6053","issn":["2198-6053","2199-4536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complex & Intelligent Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://link.springer.com/content/pdf/10.1007/s40747-025-01888-8.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5035725829","display_name":"Haodong Li","orcid":"https://orcid.org/0000-0001-9340-6613"},"institutions":[{"id":"https://openalex.org/I176808543","display_name":"Liaoning Technical University","ror":"https://ror.org/01n2bd587","country_code":"CN","type":"education","lineage":["https://openalex.org/I176808543"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Haodong Li","raw_affiliation_strings":["Liaoning Technical University, School of Software, Huludao, 125105, China"],"affiliations":[{"raw_affiliation_string":"Liaoning Technical University, School of Software, Huludao, 125105, China","institution_ids":["https://openalex.org/I176808543"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5014935476","display_name":"Haicheng Qu","orcid":"https://orcid.org/0000-0002-2351-3154"},"institutions":[{"id":"https://openalex.org/I176808543","display_name":"Liaoning Technical University","ror":"https://ror.org/01n2bd587","country_code":"CN","type":"education","lineage":["https://openalex.org/I176808543"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haicheng Qu","raw_affiliation_strings":["Liaoning Technical University, School of Software, Huludao, 125105, China"],"affiliations":[{"raw_affiliation_string":"Liaoning Technical University, School of Software, Huludao, 125105, China","institution_ids":["https://openalex.org/I176808543"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5035725829"],"corresponding_institution_ids":["https://openalex.org/I176808543"],"apc_list":{"value":1320,"currency":"GBP","value_usd":1619},"apc_paid":{"value":1320,"currency":"GBP","value_usd":1619},"fwci":1.163,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.7925582,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"11","issue":"8","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":0.9998999834060669,"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":0.9998999834060669,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.993399977684021,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9927999973297119,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7551323175430298},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6739135980606079},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6669966578483582},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.6604147553443909},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6273839473724365},{"id":"https://openalex.org/keywords/aerial-image","display_name":"Aerial image","score":0.5792804956436157},{"id":"https://openalex.org/keywords/fusion-mechanism","display_name":"Fusion mechanism","score":0.5558341145515442},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5367340445518494},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5056359767913818},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5003323554992676},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.46965423226356506},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.4567992687225342},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.38951319456100464},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3840976059436798},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2734212875366211},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.21937263011932373},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.13048675656318665},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.0827338695526123}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7551323175430298},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6739135980606079},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6669966578483582},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.6604147553443909},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6273839473724365},{"id":"https://openalex.org/C2776429412","wikidata":"https://www.wikidata.org/wiki/Q4688011","display_name":"Aerial image","level":3,"score":0.5792804956436157},{"id":"https://openalex.org/C173414695","wikidata":"https://www.wikidata.org/wiki/Q5510276","display_name":"Fusion mechanism","level":4,"score":0.5558341145515442},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5367340445518494},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5056359767913818},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5003323554992676},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.46965423226356506},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.4567992687225342},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.38951319456100464},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3840976059436798},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2734212875366211},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.21937263011932373},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.13048675656318665},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0827338695526123},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C103038307","wikidata":"https://www.wikidata.org/wiki/Q6556360","display_name":"Lipid bilayer fusion","level":3,"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":2,"locations":[{"id":"doi:10.1007/s40747-025-01888-8","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s40747-025-01888-8","pdf_url":"https://link.springer.com/content/pdf/10.1007/s40747-025-01888-8.pdf","source":{"id":"https://openalex.org/S3035462843","display_name":"Complex & Intelligent Systems","issn_l":"2198-6053","issn":["2198-6053","2199-4536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complex & Intelligent Systems","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:31bfcbab442c40339fb4faef0feaf079","is_oa":true,"landing_page_url":"https://doaj.org/article/31bfcbab442c40339fb4faef0feaf079","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Complex & Intelligent Systems, Vol 11, Iss 8, Pp 1-25 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1007/s40747-025-01888-8","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s40747-025-01888-8","pdf_url":"https://link.springer.com/content/pdf/10.1007/s40747-025-01888-8.pdf","source":{"id":"https://openalex.org/S3035462843","display_name":"Complex & Intelligent Systems","issn_l":"2198-6053","issn":["2198-6053","2199-4536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complex & Intelligent Systems","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.6700000166893005,"id":"https://metadata.un.org/sdg/11"}],"awards":[{"id":"https://openalex.org/G6527235421","display_name":null,"funder_award_id":"42271409","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8126170492","display_name":null,"funder_award_id":"202206","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":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4411397532.pdf","grobid_xml":"https://content.openalex.org/works/W4411397532.grobid-xml"},"referenced_works_count":50,"referenced_works":["https://openalex.org/W1861492603","https://openalex.org/W1981276685","https://openalex.org/W2194775991","https://openalex.org/W2752782242","https://openalex.org/W2884585870","https://openalex.org/W2964121718","https://openalex.org/W2992308087","https://openalex.org/W2997747012","https://openalex.org/W3009396058","https://openalex.org/W3035049382","https://openalex.org/W3035396860","https://openalex.org/W3096609285","https://openalex.org/W3148703355","https://openalex.org/W3160733999","https://openalex.org/W3172752666","https://openalex.org/W3177052299","https://openalex.org/W3183309240","https://openalex.org/W3205483686","https://openalex.org/W4200169950","https://openalex.org/W4214507171","https://openalex.org/W4214627427","https://openalex.org/W4292829089","https://openalex.org/W4296200681","https://openalex.org/W4312443924","https://openalex.org/W4313119505","https://openalex.org/W4319068731","https://openalex.org/W4323852269","https://openalex.org/W4386014832","https://openalex.org/W4386065740","https://openalex.org/W4386076325","https://openalex.org/W4387120902","https://openalex.org/W4388821892","https://openalex.org/W4389051589","https://openalex.org/W4389117222","https://openalex.org/W4390582897","https://openalex.org/W4392523414","https://openalex.org/W4392902243","https://openalex.org/W4399110412","https://openalex.org/W4399310735","https://openalex.org/W4399433138","https://openalex.org/W4399907426","https://openalex.org/W4400745636","https://openalex.org/W4400966748","https://openalex.org/W4401588146","https://openalex.org/W4402667905","https://openalex.org/W4402754006","https://openalex.org/W4403770406","https://openalex.org/W4404035155","https://openalex.org/W4404429134","https://openalex.org/W4410112132"],"related_works":["https://openalex.org/W4396860960","https://openalex.org/W4390482660","https://openalex.org/W2972256598","https://openalex.org/W2610408157","https://openalex.org/W4388813151","https://openalex.org/W2612465689","https://openalex.org/W4284972948","https://openalex.org/W4237245474","https://openalex.org/W2099047584","https://openalex.org/W4327521163"],"abstract_inverted_index":{"Abstract":[0],"As":[1],"an":[2,14],"important":[3],"branch":[4],"of":[5,44,65,79,129,164,204],"remote":[6],"sensing":[7],"technology,":[8],"aerial":[9,94,198],"image":[10,71,95],"target":[11,112,189],"detection":[12,97,190],"plays":[13],"indispensable":[15],"role":[16,64],"in":[17,69,192,197],"supporting":[18],"urban":[19],"planning,":[20],"disaster":[21],"assessment,":[22],"and":[23,37,72,108,119,150,159,177,207],"other":[24],"fields.":[25],"However,":[26],"this":[27],"task":[28],"faces":[29],"many":[30],"challenges":[31],"such":[32,75],"as":[33,76],"small":[34,165],"object":[35,66,96,166,199],"size":[36],"complex":[38],"background,":[39],"which":[40],"increase":[41],"the":[42,63,70,88,93,104,115,127,130,141,162,170,174,187,193],"difficulty":[43],"detection.":[45,167],"Existing":[46],"methods":[47,191],"usually":[48],"use":[49,78],"multi-scale":[50,116,131],"feature":[51,67,105,113,117,123,132],"fusion":[52,133,145,152],"or":[53],"attention":[54,143,148],"mechanism":[55,149],"to":[56,91,135,154],"improve":[57,161],"performance,":[58],"but":[59],"they":[60],"often":[61],"ignore":[62],"perception":[68],"have":[73],"problems":[74],"insufficient":[77],"context":[80,157],"information.":[81],"To":[82],"address":[83],"these":[84],"problems,":[85],"we":[86],"propose":[87],"VMC-Net":[89,171],"framework":[90,172,185],"optimize":[92],"task.":[98],"The":[99],"VHeat":[100],"C2f":[101],"module":[102,121,146],"enhances":[103],"extraction":[106],"capability":[107],"generates":[109],"a":[110],"clearer":[111],"map;":[114],"aggregation":[118],"distribution":[120,124],"adds":[122],"technology":[125],"on":[126,173],"basis":[128],"strategy":[134],"achieve":[136],"more":[137],"effective":[138],"scale":[139],"interaction;":[140],"contextual":[142],"guided":[144],"uses":[147],"weighted":[151],"method":[153],"effectively":[155],"utilize":[156],"information":[158],"significantly":[160],"performance":[163],"We":[168],"evaluate":[169],"AI-TOD,":[175],"VisDrone-2019":[176],"TinyPerson":[178],"datasets.":[179],"Experimental":[180],"results":[181],"show":[182],"that":[183],"our":[184],"outperforms":[186],"mainstream":[188],"past":[194],"three":[195],"years":[196],"detection,":[200],"with":[201],"mAP50":[202],"scores":[203],"45.6%,":[205],"45.9%,":[206],"25.4%":[208],"respectively.":[209]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-04-21T08:09:41.155169","created_date":"2025-10-10T00:00:00"}