{"id":"https://openalex.org/W4392822698","doi":"https://doi.org/10.1145/3638584.3638651","title":"Improved YOLOv7 UAV image small target detection algorithm","display_name":"Improved YOLOv7 UAV image small target detection algorithm","publication_year":2023,"publication_date":"2023-12-08","ids":{"openalex":"https://openalex.org/W4392822698","doi":"https://doi.org/10.1145/3638584.3638651"},"language":"en","primary_location":{"id":"doi:10.1145/3638584.3638651","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3638584.3638651","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 7th International Conference on Computer Science and Artificial Intelligence","raw_type":"proceedings-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/A5094150705","display_name":"Wang Ying Bo","orcid":null},"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"]},{"id":"https://openalex.org/I4210149102","display_name":"Sanya University","ror":"https://ror.org/04fa2qd52","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210149102"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Wang Ying Bo","raw_affiliation_strings":["Sanya University, China","School of Software, Liaoning Technical University, China and \rSchool of Innovation Practice, Liaoning Technical University, CHN"],"raw_orcid":"https://orcid.org/0009-0007-6243-1649","affiliations":[{"raw_affiliation_string":"Sanya University, China","institution_ids":["https://openalex.org/I4210149102"]},{"raw_affiliation_string":"School of Software, Liaoning Technical University, China and \rSchool of Innovation Practice, Liaoning Technical University, CHN","institution_ids":["https://openalex.org/I176808543"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040713141","display_name":"\u5218\u667a Liu Zhi","orcid":"https://orcid.org/0009-0008-4100-4848"},"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":"Liu Zhi","raw_affiliation_strings":["School of Software, Liaoning Technical University, China"],"raw_orcid":"https://orcid.org/0009-0008-4100-4848","affiliations":[{"raw_affiliation_string":"School of Software, Liaoning Technical University, China","institution_ids":["https://openalex.org/I176808543"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5094150705","display_name":"Wang Ying Bo","orcid":null},"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"]},{"id":"https://openalex.org/I4210149102","display_name":"Sanya University","ror":"https://ror.org/04fa2qd52","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210149102"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wang Ying Bo","raw_affiliation_strings":["Sanya University, China","School of Software, Liaoning Technical University, China and \rSchool of Innovation Practice, Liaoning Technical University, CHN"],"raw_orcid":"https://orcid.org/0009-0000-8344-2995","affiliations":[{"raw_affiliation_string":"Sanya University, China","institution_ids":["https://openalex.org/I4210149102"]},{"raw_affiliation_string":"School of Software, Liaoning Technical University, China and \rSchool of Innovation Practice, Liaoning Technical University, CHN","institution_ids":["https://openalex.org/I176808543"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5094150705"],"corresponding_institution_ids":["https://openalex.org/I176808543","https://openalex.org/I4210149102"],"apc_list":null,"apc_paid":null,"fwci":0.8108,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.8712775,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"288","last_page":"294"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12389","display_name":"Infrared Target Detection Methodologies","score":0.998199999332428,"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":0.998199999332428,"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/T14158","display_name":"Optical Systems and Laser Technology","score":0.9923999905586243,"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"}},{"id":"https://openalex.org/T14257","display_name":"Advanced Measurement and Detection Methods","score":0.9923999905586243,"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":0.6823933124542236},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5417578220367432},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5126304030418396},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.46563687920570374}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6823933124542236},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5417578220367432},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5126304030418396},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.46563687920570374}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3638584.3638651","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3638584.3638651","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 7th International Conference on Computer Science and Artificial Intelligence","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7200000286102295,"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W2134650809","https://openalex.org/W3046857037","https://openalex.org/W3108569555","https://openalex.org/W3202187941","https://openalex.org/W3207877247","https://openalex.org/W4319789280","https://openalex.org/W6600137863","https://openalex.org/W6604103938","https://openalex.org/W7102746345"],"related_works":["https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2772917594","https://openalex.org/W2775347418","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W1969923398"],"abstract_inverted_index":{"In":[0,33,149],"order":[1],"to":[2,45,52,112,168,186],"improve":[3,53,181,240,255],"the":[4,34,38,54,72,80,96,103,107,110,121,127,133,137,141,146,150,159,161,171,177,182,188,195,208,211,216,223,231,235,241,256],"detection":[5,19,41,242,258,261],"efficiency":[6],"of":[7,49,60,79,102,109,120,136,145,158,191,244,262],"small":[8,17,39,61,192,245,263],"targets":[9,193,246],"in":[10,13,24,176,194,247,250,266],"UAV":[11,22,248],"images":[12,23,249,265],"traffic":[14,25,196,251],"systems,":[15,252],"a":[16],"target":[18,40,114,264],"algorithm":[20,214,237],"for":[21],"systems":[26],"based":[27],"on":[28,87],"improved":[29,212,236],"YOLOv7":[30,213],"is":[31,43,69,85,124,166],"proposed.":[32],"feature":[35,47,73,76,83,147,151,154,178],"fusion":[36,77,155],"network,":[37],"layer":[42],"added":[44],"extract":[46,113],"information":[48,175],"different":[50],"scales":[51],"perception":[55],"ability":[56,108,185],"and":[57,75,82,99,105,139,143,153,173,180,222,253,259],"positioning":[58],"accuracy":[59,144,243],"targets.":[62],"Deep":[63],"separable":[64],"convolution":[65],"(":[66],"DSConv":[67],")":[68],"introduced":[70,167],"into":[71],"extraction":[74,84,152],"network":[78,104,111],"model,":[81,160],"performed":[86],"each":[88],"channel":[89,172],"without":[90],"introducing":[91],"additional":[92],"parameters,":[93],"which":[94,131],"reduces":[95],"computational":[97],"complexity":[98],"memory":[100],"occupation":[101],"enhances":[106],"features.":[115],"The":[116,201],"nearest":[117],"upsampling":[118],"module":[119],"original":[122,209],"model":[123,138,183],"replaced":[125],"by":[126,218,226],"lightweight":[128],"operator":[129],"Carafe,":[130],"expands":[132],"receptive":[134],"field":[135],"improves":[140,215],"quality":[142],"map.":[148],"connection":[156],"part":[157],"CBAM":[162],"hybrid":[163],"attention":[164],"mechanism":[165],"dynamically":[169],"adjust":[170],"spatial":[174],"map,":[179],"'s":[184],"capture":[187],"important":[189],"features":[190],"system":[197],"under":[198],"complex":[199,267],"background.":[200],"experimental":[202],"results":[203],"show":[204],"that":[205],"compared":[206],"with":[207,230],"algorithm,":[210],"mAP":[217],"4.5":[219],"percentage":[220],"points":[221],"recall":[224],"rate":[225],"5":[227],"%.":[228],"Compared":[229],"current":[232],"mainstream":[233],"algorithms,":[234],"can":[238],"effectively":[239],"significantly":[254],"false":[257],"missed":[260],"backgrounds.":[268]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-04-30T09:15:22.047038","created_date":"2025-10-10T00:00:00"}