{"id":"https://openalex.org/W4402402063","doi":"https://doi.org/10.1109/tgrs.2024.3457155","title":"A Lightweight Fusion Strategy With Enhanced Interlayer Feature Correlation for Small Object Detection","display_name":"A Lightweight Fusion Strategy With Enhanced Interlayer Feature Correlation for Small Object Detection","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4402402063","doi":"https://doi.org/10.1109/tgrs.2024.3457155"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2024.3457155","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2024.3457155","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"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 Geoscience and Remote Sensing","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/A5014378314","display_name":"Yao Xiao","orcid":null},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yao Xiao","raw_affiliation_strings":["Beijing Institute of Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019242095","display_name":"Tingfa Xu","orcid":"https://orcid.org/0000-0001-5452-2662"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tingfa Xu","raw_affiliation_strings":["Beijing Institute of Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100333194","display_name":"Xin Yu","orcid":"https://orcid.org/0000-0003-3888-3745"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xin Yu","raw_affiliation_strings":["Beijing Institute of Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062324217","display_name":"Yuqiang Fang","orcid":"https://orcid.org/0000-0001-7259-9823"},"institutions":[{"id":"https://openalex.org/I4210148107","display_name":"Space Engineering University","ror":"https://ror.org/04rj1td02","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210148107"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuqiang Fang","raw_affiliation_strings":["National Key Laboratory of Space Target Awareness, Space Engineering University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"National Key Laboratory of Space Target Awareness, Space Engineering University, Beijing, China","institution_ids":["https://openalex.org/I4210148107"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100448292","display_name":"Jianan Li","orcid":"https://orcid.org/0000-0002-6936-9485"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianan Li","raw_affiliation_strings":["Beijing Institute of Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5014378314"],"corresponding_institution_ids":["https://openalex.org/I125839683"],"apc_list":null,"apc_paid":null,"fwci":76.5667,"has_fulltext":false,"cited_by_count":54,"citation_normalized_percentile":{"value":0.99933719,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":"62","issue":null,"first_page":"1","last_page":"11"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12389","display_name":"Infrared Target Detection Methodologies","score":0.9922999739646912,"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"}},"topics":[{"id":"https://openalex.org/T12389","display_name":"Infrared Target Detection Methodologies","score":0.9922999739646912,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.978600025177002,"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/T14257","display_name":"Advanced Measurement and Detection Methods","score":0.9718000292778015,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"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":0.6289877891540527},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5648147463798523},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.552208662033081},{"id":"https://openalex.org/keywords/layer","display_name":"Layer (electronics)","score":0.5033950209617615},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.49530401825904846},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.48466354608535767},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.47253966331481934},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4494216740131378},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.44118788838386536},{"id":"https://openalex.org/keywords/correlation","display_name":"Correlation","score":0.4266761541366577},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.42168205976486206},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.1334112584590912},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12029045820236206}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6289877891540527},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5648147463798523},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.552208662033081},{"id":"https://openalex.org/C2779227376","wikidata":"https://www.wikidata.org/wiki/Q6505497","display_name":"Layer (electronics)","level":2,"score":0.5033950209617615},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.49530401825904846},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48466354608535767},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.47253966331481934},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4494216740131378},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.44118788838386536},{"id":"https://openalex.org/C117220453","wikidata":"https://www.wikidata.org/wiki/Q5172842","display_name":"Correlation","level":2,"score":0.4266761541366577},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.42168205976486206},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.1334112584590912},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12029045820236206},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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:10.1109/tgrs.2024.3457155","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2024.3457155","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"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 Geoscience and Remote Sensing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":46,"referenced_works":["https://openalex.org/W1861492603","https://openalex.org/W2193145675","https://openalex.org/W2565639579","https://openalex.org/W2625219738","https://openalex.org/W2883780447","https://openalex.org/W2962777203","https://openalex.org/W2963150697","https://openalex.org/W2963163009","https://openalex.org/W2963299996","https://openalex.org/W2963315052","https://openalex.org/W2963346150","https://openalex.org/W2963351448","https://openalex.org/W2963786238","https://openalex.org/W2963857746","https://openalex.org/W2964444661","https://openalex.org/W2982770724","https://openalex.org/W2989611864","https://openalex.org/W2995199175","https://openalex.org/W2996735448","https://openalex.org/W3014641072","https://openalex.org/W3034971973","https://openalex.org/W3036271496","https://openalex.org/W3116963012","https://openalex.org/W3176839087","https://openalex.org/W4250482878","https://openalex.org/W4288325606","https://openalex.org/W4288391486","https://openalex.org/W4289752563","https://openalex.org/W4312823573","https://openalex.org/W4315567872","https://openalex.org/W4386047745","https://openalex.org/W4386076053","https://openalex.org/W4386076325","https://openalex.org/W4386083012","https://openalex.org/W4388901570","https://openalex.org/W4390120069","https://openalex.org/W4390872966","https://openalex.org/W4391559729","https://openalex.org/W4392903337","https://openalex.org/W4395028341","https://openalex.org/W6620707391","https://openalex.org/W6632978964","https://openalex.org/W6684191040","https://openalex.org/W6724804524","https://openalex.org/W6759051463","https://openalex.org/W6779586474"],"related_works":["https://openalex.org/W2099421762","https://openalex.org/W2530546662","https://openalex.org/W3147584709","https://openalex.org/W2967030268","https://openalex.org/W2977677679","https://openalex.org/W2185253430","https://openalex.org/W1992327129","https://openalex.org/W4210345652","https://openalex.org/W2381986121","https://openalex.org/W2370918718"],"abstract_inverted_index":{"Detecting":[0],"small":[1,61,174,240],"objects":[2,216],"in":[3,50,64,102,113,161,176,217],"drone":[4],"imagery":[5],"is":[6,180,186],"challenging":[7],"due":[8],"to":[9,16,95,164,193],"low":[10],"resolution":[11],"and":[12,67,75,151,155,169,188,199,210,213,259,264],"background":[13],"blending,":[14],"leading":[15],"limited":[17,79],"feature":[18,21,92,99,103,115,123,129,145,167],"information.":[19],"Multiscale":[20],"fusion":[22,47,86,100,168],"can":[23,189],"enhance":[24],"detection":[25,59,209,247],"by":[26,134,252],"capturing":[27],"information":[28,139,157,172],"at":[29,266,275],"different":[30,111,141],"scales,":[31],"but":[32],"traditional":[33,98],"strategies":[34],"fall":[35],"short.":[36],"Simple":[37],"concatenation":[38],"or":[39],"addition":[40],"operations":[41],"do":[42],"not":[43],"fully":[44],"utilize":[45,77],"multiscale":[46],"advantages,":[48],"resulting":[49],"insufficient":[51],"correlation":[52,93,130],"between":[53],"features.":[54,142],"This":[55],"inadequacy":[56],"hinders":[57],"the":[58,78,97,114,121,128,137,153,162,183,221,229,232,242,246,262,267],"of":[60,110,131,140,158,239],"objects,":[62],"especially":[63],"complex":[65],"backgrounds":[66],"densely":[68],"populated":[69],"areas.":[70],"To":[71],"address":[72],"this":[73],"issue":[74],"efficiently":[76],"computational":[80],"resources,":[81],"we":[82],"propose":[83],"a":[84,236],"lightweight":[85,256],"strategy":[87,101],"based":[88],"on":[89,136,202,231],"enhanced":[90],"interlayer":[91],"(EFC)":[94],"replace":[96],"pyramid":[104,116,163],"network":[105],"(FPN).":[106],"The":[107,143,270],"semantic":[108],"expressions":[109],"layers":[112],"are":[117],"inconsistent.":[118],"In":[119],"EFC,":[120],"grouped":[122],"focus":[124],"unit":[125],"(GFF)":[126],"enhances":[127],"each":[132,159],"layer":[133,160],"focusing":[135],"contextual":[138],"multilevel":[144],"reconstruction":[146],"module":[147],"(MFR)":[148],"effectively":[149],"reconstructs":[150],"transforms":[152],"strength":[154],"weakness":[156],"reduce":[165],"redundant":[166],"retain":[170],"more":[171],"about":[173],"targets":[175],"deep":[177],"networks.":[178,196],"It":[179],"noteworthy":[181],"that":[182],"proposed":[184,243],"method":[185,244],"plug-and-play":[187],"be":[190,273],"widely":[191],"applied":[192],"various":[194],"base":[195],"Extensive":[197],"experiments":[198],"comprehensive":[200],"evaluations":[201],"VisDrone,":[203],"unmanned":[204],"aerial":[205],"vehicle":[206],"benchmark":[207],"object":[208],"tracking":[211],"(UAVDT),":[212],"microsoft":[214],"common":[215],"context":[218],"(COCO)":[219],"demonstrate":[220],"effectiveness.":[222],"Using":[223],"generalized":[224],"focal":[225],"loss":[226],"(GFL)":[227],"as":[228],"baseline":[230],"VisDrone":[233],"dataset":[234],"with":[235],"large":[237],"number":[238],"targets,":[241],"improves":[245],"mean":[248],"average":[249],"precision":[250],"(mAP)":[251],"1.7%,":[253],"surpassing":[254],"many":[255],"state-of-the-art":[257],"methods":[258],"significantly":[260],"reducing":[261],"Params":[263],"GFLOPs":[265],"neck":[268],"end.":[269],"code":[271],"will":[272],"available":[274],"<uri":[276],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[277],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">https://github.com/nuliweixiao/EFC.git</uri>.":[278]},"counts_by_year":[{"year":2026,"cited_by_count":9},{"year":2025,"cited_by_count":43},{"year":2024,"cited_by_count":2}],"updated_date":"2026-04-01T17:29:45.350535","created_date":"2025-10-10T00:00:00"}
