{"id":"https://openalex.org/W4392939929","doi":"https://doi.org/10.1109/access.2024.3378748","title":"MCA-YOLOv7: An Improved UAV Target Detection Algorithm Based on YOLOv7","display_name":"MCA-YOLOv7: An Improved UAV Target Detection Algorithm Based on YOLOv7","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4392939929","doi":"https://doi.org/10.1109/access.2024.3378748"},"language":"en","primary_location":{"id":"doi:10.1109/access.2024.3378748","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3378748","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10474343.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10474343.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5015652128","display_name":"Zhiyong Qin","orcid":"https://orcid.org/0009-0000-5973-4744"},"institutions":[{"id":"https://openalex.org/I4210153482","display_name":"Changzhou University","ror":"https://ror.org/04ymgwq66","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210153482"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhiyong Qin","raw_affiliation_strings":["School of Computer Science and Artificial Intelligence, Changzhou University, Changzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Artificial Intelligence, Changzhou University, Changzhou, China","institution_ids":["https://openalex.org/I4210153482"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009730590","display_name":"Dike Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I4210153482","display_name":"Changzhou University","ror":"https://ror.org/04ymgwq66","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210153482"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dike Chen","raw_affiliation_strings":["School of Computer Science and Artificial Intelligence, Changzhou University, Changzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Artificial Intelligence, Changzhou University, Changzhou, China","institution_ids":["https://openalex.org/I4210153482"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100747741","display_name":"Hongyuan Wang","orcid":"https://orcid.org/0000-0003-1236-6141"},"institutions":[{"id":"https://openalex.org/I4210153482","display_name":"Changzhou University","ror":"https://ror.org/04ymgwq66","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210153482"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongyuan Wang","raw_affiliation_strings":["School of Computer Science and Artificial Intelligence, Changzhou University, Changzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Artificial Intelligence, Changzhou University, Changzhou, China","institution_ids":["https://openalex.org/I4210153482"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5015652128"],"corresponding_institution_ids":["https://openalex.org/I4210153482"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":37.2336,"has_fulltext":true,"cited_by_count":27,"citation_normalized_percentile":{"value":0.99695857,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":"12","issue":null,"first_page":"42642","last_page":"42650"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12389","display_name":"Infrared Target Detection Methodologies","score":0.9975000023841858,"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":0.9975000023841858,"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":0.9735000133514404,"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":0.9372000098228455,"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":0.7297332882881165},{"id":"https://openalex.org/keywords/algorithm-design","display_name":"Algorithm design","score":0.44495829939842224},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3851560354232788},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3504520058631897},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3458743095397949}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7297332882881165},{"id":"https://openalex.org/C106516650","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm design","level":2,"score":0.44495829939842224},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3851560354232788},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3504520058631897},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3458743095397949}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2024.3378748","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3378748","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10474343.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:7d46216770c542aba9018bdc53a3d385","is_oa":true,"landing_page_url":"https://doaj.org/article/7d46216770c542aba9018bdc53a3d385","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":"IEEE Access, Vol 12, Pp 42642-42650 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2024.3378748","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3378748","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10474343.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","score":0.75,"display_name":"Affordable and clean energy"}],"awards":[{"id":"https://openalex.org/G109500196","display_name":null,"funder_award_id":"61976028","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1121271761","display_name":null,"funder_award_id":"Program","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1231421488","display_name":null,"funder_award_id":"under","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G37568934","display_name":null,"funder_award_id":"Grant","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G391238517","display_name":null,"funder_award_id":", and","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","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"},{"id":"https://openalex.org/F4320321605","display_name":"Government of Jiangsu Province","ror":"https://ror.org/004svx814"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4392939929.pdf","grobid_xml":"https://content.openalex.org/works/W4392939929.grobid-xml"},"referenced_works_count":36,"referenced_works":["https://openalex.org/W2102605133","https://openalex.org/W2752782242","https://openalex.org/W2927122915","https://openalex.org/W2963037989","https://openalex.org/W2963091558","https://openalex.org/W2963351448","https://openalex.org/W2963840672","https://openalex.org/W2964241181","https://openalex.org/W3096609285","https://openalex.org/W3122173535","https://openalex.org/W3162418282","https://openalex.org/W3170033848","https://openalex.org/W3177052299","https://openalex.org/W3208645658","https://openalex.org/W3210586215","https://openalex.org/W4210448425","https://openalex.org/W4214700196","https://openalex.org/W4226022956","https://openalex.org/W4281790833","https://openalex.org/W4281975352","https://openalex.org/W4300961060","https://openalex.org/W4312442605","https://openalex.org/W4312981043","https://openalex.org/W4323338462","https://openalex.org/W4372347372","https://openalex.org/W4384652394","https://openalex.org/W4385938118","https://openalex.org/W4386075524","https://openalex.org/W4386076325","https://openalex.org/W4387757656","https://openalex.org/W4391130239","https://openalex.org/W4402754006","https://openalex.org/W6620707391","https://openalex.org/W6760424586","https://openalex.org/W6851531119","https://openalex.org/W6854516109"],"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":{"Aiming":[0],"at":[1],"the":[2,37,41,45,52,58,67,72,82,85,89,94,128,132,145,149,159,170],"problems":[3],"of":[4,18,84,91,131,151,179],"tiny":[5],"targets,":[6],"large":[7],"target":[8,16,27],"scale":[9],"changes,":[10],"and":[11,36,56,87,101,103,118,134,157],"background":[12,92],"information":[13],"interference":[14],"in":[15],"detection":[17,28,54,60],"UAV(Unmanned":[19],"Aerial":[20],"Vehicle)":[21],"aerial":[22,184],"images,":[23],"a":[24,119],"revised":[25],"UAV":[26,183],"algorithm":[29,38,175],"MCA-YOLOv7":[30,146],"based":[31],"on":[32,169],"YOLOv7":[33,168],"is":[34,76,116,124,176],"proposed,":[35,125],"advances":[39],"from":[40],"following":[42],"points:":[43],"optimizing":[44],"FPN(Feature":[46],"Pyramid":[47],"Networks)":[48],"structure":[49],"to":[50,80,167],"increase":[51],"small-target":[53],"layer,":[55],"boosting":[57],"network\u2019s":[59],"ability":[61],"for":[62],"small":[63],"targets.":[64],"To":[65],"enhance":[66],"multi-scale":[68],"feature":[69],"extraction":[70],"capability,":[71],"Efficient":[73],"Multi-Scale":[74],"Attention(EMA)":[75],"added.":[77],"In":[78],"order":[79],"reduce":[81,88],"complexity":[83],"model":[86,147,152],"confusion":[90],"information,":[93],"context":[95,106],"aggregation":[96,107],"block":[97,108],"(CABlock)":[98],"was":[99,110],"introduced":[100],"improved,":[102],"an":[104],"effective":[105],"(ECABlock)":[109],"proposed.":[111],"The":[112,140,173],"loss":[113,121],"function":[114,122],"CIoU":[115],"enhanced":[117],"new":[120,174],"FCIoU":[123],"which":[126],"accelerates":[127],"convergence":[129],"speed":[130],"model,":[133],"obtains":[135],"more":[136,177],"accurate":[137],"regression":[138],"results.":[139],"experimental":[141],"results":[142],"demonstrate":[143],"that":[144],"reduces":[148],"number":[150],"parameters":[153],"by":[154,163],"4.7":[155],"M":[156],"increases":[158],"average":[160],"accuracy":[161],"(mAP@0.5)":[162],"2.9%":[164],"when":[165],"compared":[166],"VisDrone2019":[171],"dataset.":[172],"capable":[178],"handling":[180],"situations":[181],"involving":[182],"photography.":[185]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":17},{"year":2024,"cited_by_count":5}],"updated_date":"2026-04-18T07:56:08.524223","created_date":"2025-10-10T00:00:00"}