{"id":"https://openalex.org/W4406388025","doi":"https://doi.org/10.1109/lgrs.2025.3529830","title":"A Robust and Efficient Multiscenario Object Detection Network for Edge Devices","display_name":"A Robust and Efficient Multiscenario Object Detection Network for Edge Devices","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4406388025","doi":"https://doi.org/10.1109/lgrs.2025.3529830"},"language":"en","primary_location":{"id":"doi:10.1109/lgrs.2025.3529830","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2025.3529830","pdf_url":null,"source":{"id":"https://openalex.org/S126920919","display_name":"IEEE Geoscience and Remote Sensing Letters","issn_l":"1545-598X","issn":["1545-598X","1558-0571"],"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 Geoscience and Remote Sensing Letters","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/A5081035598","display_name":"Zhihuan Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I159948400","display_name":"Jinan University","ror":"https://ror.org/02xe5ns62","country_code":"CN","type":"education","lineage":["https://openalex.org/I159948400"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhihuan Chen","raw_affiliation_strings":["Department of Electronic Engineering, Jinan University, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, Jinan University, Guangzhou, China","institution_ids":["https://openalex.org/I159948400"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003019532","display_name":"Aiwen Luo","orcid":"https://orcid.org/0000-0002-9158-8406"},"institutions":[{"id":"https://openalex.org/I159948400","display_name":"Jinan University","ror":"https://ror.org/02xe5ns62","country_code":"CN","type":"education","lineage":["https://openalex.org/I159948400"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Aiwen Luo","raw_affiliation_strings":["Department of Electronic Engineering, Jinan University, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-9158-8406","affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, Jinan University, Guangzhou, China","institution_ids":["https://openalex.org/I159948400"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017465322","display_name":"Lin Ding","orcid":"https://orcid.org/0000-0002-6898-4566"},"institutions":[{"id":"https://openalex.org/I159948400","display_name":"Jinan University","ror":"https://ror.org/02xe5ns62","country_code":"CN","type":"education","lineage":["https://openalex.org/I159948400"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lin Ding","raw_affiliation_strings":["Department of Electronic Engineering, Jinan University, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, Jinan University, Guangzhou, China","institution_ids":["https://openalex.org/I159948400"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102542696","display_name":"Jialu Zheng","orcid":null},"institutions":[{"id":"https://openalex.org/I159948400","display_name":"Jinan University","ror":"https://ror.org/02xe5ns62","country_code":"CN","type":"education","lineage":["https://openalex.org/I159948400"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jialu Zheng","raw_affiliation_strings":["Department of Electronic Engineering, Jinan University, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, Jinan University, Guangzhou, China","institution_ids":["https://openalex.org/I159948400"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5054508203","display_name":"Zunkai Huang","orcid":"https://orcid.org/0000-0001-7501-8959"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210111959","display_name":"Shanghai Advanced Research Institute","ror":"https://ror.org/02br7py06","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210111959"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zunkai Huang","raw_affiliation_strings":["Shanghai Advanced Research Institute, Chinese Academy of Sciences, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0001-7501-8959","affiliations":[{"raw_affiliation_string":"Shanghai Advanced Research Institute, Chinese Academy of Sciences, Shanghai, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210111959"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":5.6408,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.94194708,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":"22","issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12389","display_name":"Infrared Target Detection Methodologies","score":0.9233999848365784,"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":0.9233999848365784,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7216602563858032},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.5361167788505554},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.43785473704338074},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.42413920164108276},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3317685127258301},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.16617289185523987}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7216602563858032},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.5361167788505554},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.43785473704338074},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.42413920164108276},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3317685127258301},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.16617289185523987}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lgrs.2025.3529830","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2025.3529830","pdf_url":null,"source":{"id":"https://openalex.org/S126920919","display_name":"IEEE Geoscience and Remote Sensing Letters","issn_l":"1545-598X","issn":["1545-598X","1558-0571"],"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 Geoscience and Remote Sensing Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2941811506","display_name":null,"funder_award_id":"2023A1515010834","funder_id":"https://openalex.org/F4320337111","funder_display_name":"Basic and Applied Basic Research Foundation of Guangdong Province"},{"id":"https://openalex.org/G491413957","display_name":null,"funder_award_id":"62002134","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6257792130","display_name":null,"funder_award_id":"2023A1515010834","funder_id":"https://openalex.org/F4320320671","funder_display_name":"National Research Foundation"}],"funders":[{"id":"https://openalex.org/F4320320671","display_name":"National Research Foundation","ror":"https://ror.org/05s0g1g46"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320337111","display_name":"Basic and Applied Basic Research Foundation of Guangdong Province","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W1536680647","https://openalex.org/W1861492603","https://openalex.org/W2031489346","https://openalex.org/W2102605133","https://openalex.org/W2109255472","https://openalex.org/W2193145675","https://openalex.org/W2963037989","https://openalex.org/W2963351448","https://openalex.org/W2989604896","https://openalex.org/W3009818596","https://openalex.org/W3018757597","https://openalex.org/W3033282154","https://openalex.org/W3035396860","https://openalex.org/W3035414587","https://openalex.org/W3096609285","https://openalex.org/W3113164744","https://openalex.org/W3167976421","https://openalex.org/W3208645658","https://openalex.org/W4285251596","https://openalex.org/W4327785494","https://openalex.org/W4375809357","https://openalex.org/W4386076325","https://openalex.org/W4393371563","https://openalex.org/W4394711454","https://openalex.org/W4395056538","https://openalex.org/W6620707391","https://openalex.org/W6750227808","https://openalex.org/W6796223860","https://openalex.org/W6803865744","https://openalex.org/W6847207718"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4312842780","https://openalex.org/W2883677709","https://openalex.org/W4292830139","https://openalex.org/W4319309705"],"abstract_inverted_index":{"Deep-learning-based":[0],"object":[1,57,158],"detection":[2,27,37,58,65,125],"has":[3],"been":[4],"increasingly":[5],"attractive":[6],"in":[7,124,143],"various":[8],"intelligent":[9],"edge":[10,61,140],"applications,":[11],"including":[12],"remote":[13,151],"sensing":[14,152],"and":[15,26,35,92,100,106,116,127],"autonomous":[16],"driving.":[17],"However,":[18],"achieving":[19],"an":[20,144],"optimal":[21],"tradeoff":[22],"between":[23],"computing":[24],"efficiency":[25,75],"accuracy":[28,66,126],"is":[29,162],"challenging.":[30],"YOLO-series":[31],"networks":[32],"provide":[33],"fast":[34],"lightweight":[36],"but":[38],"often":[39],"sacrifice":[40],"accuracy.":[41],"In":[42],"this":[43],"work,":[44],"we":[45,131],"propose":[46],"the":[47,133],"multibranch":[48,80],"cascading":[49],"aggregation":[50,89,94],"YOLO":[51],"(MCA-YOLO)":[52],"model,":[53],"designed":[54],"for":[55],"multiscenario":[56],"tasks":[59],"on":[60,135],"devices.":[62],"MCA-YOLO":[63,108,134],"enhances":[64],"by":[67],"learning":[68],"comprehensive":[69],"feature":[70],"information":[71],"while":[72],"maintaining":[73],"computational":[74],"through":[76],"three":[77],"key":[78],"components:":[79],"spatial":[81],"pyramid":[82],"pooling":[83],"(MSPP),":[84],"Ghost-convolution":[85],"(GC)-based":[86],"efficient":[87],"layer":[88],"network":[90],"(G-ELAN),":[91],"hierarchical":[93],"neck":[95],"(HAN)":[96],"that":[97],"integrates":[98],"MSPP":[99],"G-ELAN":[101],"with":[102],"GC.":[103],"We":[104],"train":[105],"validate":[107],"using":[109],"four":[110],"benchmark":[111],"datasets:":[112],"VOC,":[113],"COCO,":[114],"SIMD,":[115],"VisDrone.":[117],"The":[118],"experimental":[119],"results":[120],"demonstrate":[121],"significant":[122],"improvements":[123],"inference":[128],"speed.":[129],"Besides,":[130],"deploy":[132],"a":[136,150],"Jetson":[137],"Xavier":[138],"NX":[139],"device":[141],"embedded":[142],"unmanned":[145],"aerial":[146],"vehicle":[147],"(UAV),":[148],"creating":[149],"system":[153],"capable":[154],"of":[155],"real-time,":[156],"high-accuracy":[157],"detection.":[159],"Our":[160],"code":[161],"publicly":[163],"available":[164],"athttps://github.com/lawlawCodes/MCA-YOLO.":[165]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2026-07-29T09:40:50.615796","created_date":"2025-10-10T00:00:00"}