{"id":"https://openalex.org/W4387976646","doi":"https://doi.org/10.3233/ida-227154","title":"Small object detection based on attention mechanism and enhanced network","display_name":"Small object detection based on attention mechanism and enhanced network","publication_year":2023,"publication_date":"2023-10-27","ids":{"openalex":"https://openalex.org/W4387976646","doi":"https://doi.org/10.3233/ida-227154"},"language":"en","primary_location":{"id":"doi:10.3233/ida-227154","is_oa":false,"landing_page_url":"https://doi.org/10.3233/ida-227154","pdf_url":null,"source":{"id":"https://openalex.org/S2498839158","display_name":"Intelligent Data Analysis","issn_l":"1088-467X","issn":["1088-467X","1571-4128"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Intelligent Data Analysis","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/A5100760974","display_name":"Bingbing Wang","orcid":"https://orcid.org/0000-0002-2377-053X"},"institutions":[{"id":"https://openalex.org/I53592917","display_name":"Jiangxi Normal University","ror":"https://ror.org/05nkgk822","country_code":"CN","type":"education","lineage":["https://openalex.org/I53592917"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bingbing Wang","raw_affiliation_strings":["College of Physics and Communication Electronics, Jiangxi Normal University, Nanchang, Jiangxi, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Physics and Communication Electronics, Jiangxi Normal University, Nanchang, Jiangxi, China","institution_ids":["https://openalex.org/I53592917"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101499042","display_name":"Fengxiang Zhang","orcid":"https://orcid.org/0000-0003-2476-9853"},"institutions":[{"id":"https://openalex.org/I53592917","display_name":"Jiangxi Normal University","ror":"https://ror.org/05nkgk822","country_code":"CN","type":"education","lineage":["https://openalex.org/I53592917"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fengxiang Zhang","raw_affiliation_strings":["College of Physics and Communication Electronics, Jiangxi Normal University, Nanchang, Jiangxi, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Physics and Communication Electronics, Jiangxi Normal University, Nanchang, Jiangxi, China","institution_ids":["https://openalex.org/I53592917"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103068113","display_name":"Kaipeng Li","orcid":"https://orcid.org/0009-0008-9438-1153"},"institutions":[{"id":"https://openalex.org/I53592917","display_name":"Jiangxi Normal University","ror":"https://ror.org/05nkgk822","country_code":"CN","type":"education","lineage":["https://openalex.org/I53592917"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kaipeng Li","raw_affiliation_strings":["College of Physics and Communication Electronics, Jiangxi Normal University, Nanchang, Jiangxi, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Physics and Communication Electronics, Jiangxi Normal University, Nanchang, Jiangxi, China","institution_ids":["https://openalex.org/I53592917"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100575978","display_name":"Kuijie Shi","orcid":null},"institutions":[{"id":"https://openalex.org/I53592917","display_name":"Jiangxi Normal University","ror":"https://ror.org/05nkgk822","country_code":"CN","type":"education","lineage":["https://openalex.org/I53592917"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kuijie Shi","raw_affiliation_strings":["College of Physics and Communication Electronics, Jiangxi Normal University, Nanchang, Jiangxi, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Physics and Communication Electronics, Jiangxi Normal University, Nanchang, Jiangxi, China","institution_ids":["https://openalex.org/I53592917"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025384190","display_name":"Lei Wang","orcid":"https://orcid.org/0000-0002-7383-4167"},"institutions":[{"id":"https://openalex.org/I53592917","display_name":"Jiangxi Normal University","ror":"https://ror.org/05nkgk822","country_code":"CN","type":"education","lineage":["https://openalex.org/I53592917"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Wang","raw_affiliation_strings":["College of Physics and Communication Electronics, Jiangxi Normal University, Nanchang, Jiangxi, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Physics and Communication Electronics, Jiangxi Normal University, Nanchang, Jiangxi, China","institution_ids":["https://openalex.org/I53592917"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100412392","display_name":"Gang Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I53592917","display_name":"Jiangxi Normal University","ror":"https://ror.org/05nkgk822","country_code":"CN","type":"education","lineage":["https://openalex.org/I53592917"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Gang Liu","raw_affiliation_strings":["College of Physics and Communication Electronics, Jiangxi Normal University, Nanchang, Jiangxi, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Physics and Communication Electronics, Jiangxi Normal University, Nanchang, Jiangxi, China","institution_ids":["https://openalex.org/I53592917"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5100412392"],"corresponding_institution_ids":["https://openalex.org/I53592917"],"apc_list":null,"apc_paid":null,"fwci":0.5586,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.6860709,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"27","issue":"6","first_page":"1725","last_page":"1739"},"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9972000122070312,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9927999973297119,"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/computer-science","display_name":"Computer science","score":0.761579155921936},{"id":"https://openalex.org/keywords/pyramid","display_name":"Pyramid (geometry)","score":0.6897271871566772},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.6547537446022034},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.6276073455810547},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6112731695175171},{"id":"https://openalex.org/keywords/pooling","display_name":"Pooling","score":0.5891014933586121},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5435672998428345},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.5378054976463318},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5135459899902344},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.4962201714515686},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.46592164039611816},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4424075782299042},{"id":"https://openalex.org/keywords/layer","display_name":"Layer (electronics)","score":0.4283992052078247},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.34869909286499023},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.3291895389556885},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.10511979460716248},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.06511050462722778}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.761579155921936},{"id":"https://openalex.org/C142575187","wikidata":"https://www.wikidata.org/wiki/Q3358290","display_name":"Pyramid (geometry)","level":2,"score":0.6897271871566772},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.6547537446022034},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.6276073455810547},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6112731695175171},{"id":"https://openalex.org/C70437156","wikidata":"https://www.wikidata.org/wiki/Q7228652","display_name":"Pooling","level":2,"score":0.5891014933586121},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5435672998428345},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.5378054976463318},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5135459899902344},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.4962201714515686},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.46592164039611816},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4424075782299042},{"id":"https://openalex.org/C2779227376","wikidata":"https://www.wikidata.org/wiki/Q6505497","display_name":"Layer (electronics)","level":2,"score":0.4283992052078247},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.34869909286499023},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.3291895389556885},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.10511979460716248},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.06511050462722778},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","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},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/ida-227154","is_oa":false,"landing_page_url":"https://doi.org/10.3233/ida-227154","pdf_url":null,"source":{"id":"https://openalex.org/S2498839158","display_name":"Intelligent Data Analysis","issn_l":"1088-467X","issn":["1088-467X","1571-4128"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Intelligent Data Analysis","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W1536680647","https://openalex.org/W1861492603","https://openalex.org/W2102605133","https://openalex.org/W2109255472","https://openalex.org/W2193145675","https://openalex.org/W2308318555","https://openalex.org/W2512351403","https://openalex.org/W2565639579","https://openalex.org/W2570343428","https://openalex.org/W2594258618","https://openalex.org/W2752782242","https://openalex.org/W2805550523","https://openalex.org/W2884585870","https://openalex.org/W2924873663","https://openalex.org/W2963037989","https://openalex.org/W2963351448","https://openalex.org/W2963857746","https://openalex.org/W2999653953","https://openalex.org/W3013211776","https://openalex.org/W3016641475","https://openalex.org/W3094897602","https://openalex.org/W3106250896","https://openalex.org/W3117782667","https://openalex.org/W3122799380","https://openalex.org/W3209586559","https://openalex.org/W3212386989","https://openalex.org/W4207040857","https://openalex.org/W4211106661","https://openalex.org/W4220839967","https://openalex.org/W4282571594","https://openalex.org/W4283732374","https://openalex.org/W4288067104","https://openalex.org/W4291520159","https://openalex.org/W6819060087"],"related_works":["https://openalex.org/W2022849497","https://openalex.org/W2407190427","https://openalex.org/W3081299480","https://openalex.org/W2919210741","https://openalex.org/W2907584218","https://openalex.org/W3002446410","https://openalex.org/W4390224712","https://openalex.org/W4322096758","https://openalex.org/W4206776094","https://openalex.org/W3121197456"],"abstract_inverted_index":{"Small":[0],"object":[1,26,43,55,129,192],"detection":[2,56],"has":[3],"a":[4,38,110,166],"broad":[5],"application":[6],"prospect":[7],"in":[8,24,37,175,190,202],"image":[9],"processing":[10],"of":[11,102,127,134,183],"unmanned":[12],"aerial":[13],"vehicles,":[14],"autopilot":[15],"and":[16,32,71,82,90,109,140,155,186],"remote":[17],"sensing.":[18],"However,":[19],"some":[20],"difficulties":[21,182],"exactly":[22],"exist":[23],"small":[25,42,54,128,191],"detection,":[27,193],"such":[28],"as":[29],"aggregation,":[30,184],"occlusion":[31,185],"insufficient":[33,187],"feature":[34,188],"extraction,":[35],"resulting":[36],"great":[39],"challenge":[40],"for":[41,53,123,198],"detection.":[44],"In":[45],"this":[46,176],"paper,":[47],"we":[48],"propose":[49],"an":[50],"improved":[51,172],"algorithm":[52],"to":[57,66,78,119,158],"address":[58],"these":[59],"issues.":[60],"By":[61],"using":[62],"the":[63,74,80,86,100,103,120,125,137,141,147,152,159,171,181,203],"spatial":[64,69,87],"pyramid":[65,89],"extract":[67],"multi-scale":[68,75,91],"features":[70],"by":[72],"applying":[73],"channel":[76,92],"attention":[77,93],"capture":[79],"global":[81],"local":[83],"semantic":[84,115],"features,":[85],"pooling":[88],"module":[94],"(SPP-MSCAM)":[95],"is":[96,117],"constructed.":[97],"More":[98],"importantly,":[99],"fusion":[101],"shallower":[104],"layer":[105,112],"with":[106,113],"higher":[107],"resolution":[108],"deeper":[111],"more":[114],"information":[116],"introduced":[118],"neck":[121],"structure":[122],"improving":[124],"sensitivity":[126],"features.":[130],"A":[131],"large":[132],"number":[133],"experiments":[135],"on":[136],"VisDrone2019":[138],"dataset":[139,144],"NWPU":[142],"VHR-10":[143],"show":[145],"that":[146],"proposed":[148,174],"method":[149],"significantly":[150],"improves":[151],"Precision,":[153],"mAP":[154],"mAP50":[156],"compared":[157],"YOLOv5":[160],"method.":[161],"Meanwhile,":[162],"it":[163],"still":[164],"preserves":[165],"considerable":[167],"real-time":[168],"performance.":[169],"Undoubtedly,":[170],"network":[173],"paper":[177],"can":[178],"effectively":[179],"alleviate":[180],"extraction":[189],"which":[194],"would":[195],"be":[196],"helpful":[197],"its":[199],"potential":[200],"applications":[201],"future.":[204]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":2}],"updated_date":"2026-06-15T08:34:33.830935","created_date":"2025-10-10T00:00:00"}
