{"id":"https://openalex.org/W4408339486","doi":"https://doi.org/10.1038/s41598-025-92629-x","title":"Efficient remote sensing image classification using the novel STConvNeXt convolutional network","display_name":"Efficient remote sensing image classification using the novel STConvNeXt convolutional network","publication_year":2025,"publication_date":"2025-03-11","ids":{"openalex":"https://openalex.org/W4408339486","doi":"https://doi.org/10.1038/s41598-025-92629-x","pmid":"https://pubmed.ncbi.nlm.nih.gov/40069325","pmcid":"https://www.ncbi.nlm.nih.gov/pmc/articles/11897181"},"language":"en","primary_location":{"id":"doi:10.1038/s41598-025-92629-x","doi":"https://doi.org/10.1038/s41598-025-92629-x","is_oa":true,"landing_page_url":"https://doi.org/10.1038/s41598-025-92629-x","pdf_url":null,"source":{"id":"https://openalex.org/S196734849","display_name":"Scientific Reports","issn_l":"2045-2322","issn":["2045-2322"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["anvur-class-a","anvur-scientific","cwts-core","doaj","dongbi-c","doyens","jufo-1","ki-jl-1","medline","norway-1","poland-140","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310319908","host_organization_name":"Nature Portfolio","host_organization_lineage":["https://openalex.org/P4310319908","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Nature Portfolio","Springer Nature"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Scientific Reports","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1038/s41598-025-92629-x","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100712843","display_name":"Bo Liu","orcid":"https://orcid.org/0000-0002-7532-2384","observed_orcids":["https://orcid.org/0000-0002-7532-2384"]},"institutions":[{"id":"https://openalex.org/I4210119942","display_name":"Wuhan Textile University","ror":"https://ror.org/02jgsf398","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210119942"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bo Liu","raw_affiliation_strings":["Mathematical and Physical Sciences, Wuhan Textile University, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Mathematical and Physical Sciences, Wuhan Textile University, Wuhan, China","institution_ids":["https://openalex.org/I4210119942"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Chenmei Zhan","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4210119942","display_name":"Wuhan Textile University","ror":"https://ror.org/02jgsf398","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210119942"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chenmei Zhan","raw_affiliation_strings":["Mathematical and Physical Sciences, Wuhan Textile University, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Mathematical and Physical Sciences, Wuhan Textile University, Wuhan, China","institution_ids":["https://openalex.org/I4210119942"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Cheng Guo","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4210119942","display_name":"Wuhan Textile University","ror":"https://ror.org/02jgsf398","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210119942"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Cheng Guo","raw_affiliation_strings":["Mathematical and Physical Sciences, Wuhan Textile University, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Mathematical and Physical Sciences, Wuhan Textile University, Wuhan, China","institution_ids":["https://openalex.org/I4210119942"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062400971","display_name":"Xiaobo Liu","orcid":"https://orcid.org/0000-0001-8298-7715","observed_orcids":["https://orcid.org/0000-0001-8298-7715"]},"institutions":[{"id":"https://openalex.org/I3124059619","display_name":"China University of Geosciences","ror":"https://ror.org/04gcegc37","country_code":"CN","type":"education","lineage":["https://openalex.org/I3124059619"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaobo Liu","raw_affiliation_strings":["Automation, China University of Geoscience, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Automation, China University of Geoscience, Wuhan, China","institution_ids":["https://openalex.org/I3124059619"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100325350","display_name":"Shufen Ruan","orcid":"https://orcid.org/0009-0004-6445-7656","observed_orcids":["https://orcid.org/0009-0004-6445-7656","https://orcid.org/0000-0003-0128-1521"]},"institutions":[{"id":"https://openalex.org/I4210119942","display_name":"Wuhan Textile University","ror":"https://ror.org/02jgsf398","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210119942"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Shufen Ruan","raw_affiliation_strings":["Mathematical and Physical Sciences, Wuhan Textile University, Wuhan, China. sfruan@wtu.edu.cn","The Research Center for Applied Mathematics and Interdisciplinary Sciences, Wuhan Textile University, Wuhan, Hubei, China. sfruan@wtu.edu.cn","The Research Center for Applied Mathematics and Interdisciplinary Sciences, Wuhan Textile University, Wuhan, Hubei, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Mathematical and Physical Sciences, Wuhan Textile University, Wuhan, China. sfruan@wtu.edu.cn","institution_ids":["https://openalex.org/I4210119942"]},{"raw_affiliation_string":"The Research Center for Applied Mathematics and Interdisciplinary Sciences, Wuhan Textile University, Wuhan, Hubei, China. sfruan@wtu.edu.cn","institution_ids":["https://openalex.org/I4210119942"]},{"raw_affiliation_string":"The Research Center for Applied Mathematics and Interdisciplinary Sciences, Wuhan Textile University, Wuhan, Hubei, China","institution_ids":["https://openalex.org/I4210119942"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5100325350"],"corresponding_institution_ids":["https://openalex.org/I4210119942"],"apc_list":{"value":2690,"currency":"USD","value_usd":2690},"apc_paid":{"value":2690,"currency":"USD","value_usd":2690},"fwci":9.2234,"has_fulltext":false,"cited_by_count":39,"citation_normalized_percentile":{"value":0.98687864,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"15","issue":"1","first_page":"8406","last_page":"8406"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9980000257492065,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9980000257492065,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.0019000000320374966,"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/T13890","display_name":"Remote Sensing and Land Use","score":9.999999747378752e-05,"subfield":{"id":"https://openalex.org/subfields/3305","display_name":"Geography, Planning and Development"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/remote-sensing-image-classification","display_name":"remote sensing image classification","score":0.9739999771118164},{"id":"https://openalex.org/keywords/lightweight-convolutional-neural-network","display_name":"lightweight convolutional neural network","score":0.8460000157356262},{"id":"https://openalex.org/keywords/depthwise-separable-convolution","display_name":"depthwise separable convolution","score":0.9430000185966492},{"id":"https://openalex.org/keywords/cross-scale-feature-fusion","display_name":"cross-scale feature fusion","score":0.8730000257492065},{"id":"https://openalex.org/keywords/convnext","display_name":"ConvNeXt","score":0.7009999752044678}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7276060581207275},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6007959842681885},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46919959783554077},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4654802680015564},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.4555850923061371},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.43521595001220703},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.35183393955230713},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.08956938982009888}],"mesh":[],"locations_count":6,"locations":[{"id":"doi:10.1038/s41598-025-92629-x","doi":"https://doi.org/10.1038/s41598-025-92629-x","is_oa":true,"landing_page_url":"https://doi.org/10.1038/s41598-025-92629-x","pdf_url":null,"source":{"id":"https://openalex.org/S196734849","display_name":"Scientific Reports","issn_l":"2045-2322","issn":["2045-2322"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["anvur-class-a","anvur-scientific","cwts-core","doaj","dongbi-c","doyens","jufo-1","ki-jl-1","medline","norway-1","poland-140","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310319908","host_organization_name":"Nature Portfolio","host_organization_lineage":["https://openalex.org/P4310319908","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Nature Portfolio","Springer Nature"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Scientific Reports","raw_type":"journal-article"},{"id":"doi:10.21203/rs.3.rs-5624469/v1","doi":"https://doi.org/10.21203/rs.3.rs-5624469/v1","is_oa":true,"landing_page_url":"https://doi.org/10.21203/rs.3.rs-5624469/v1","pdf_url":"https://www.researchsquare.com/article/rs-5624469/latest.pdf","source":{"id":"https://openalex.org/S4306525896","display_name":"Research Square","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Research Square","raw_type":"posted-content"},{"id":"pmh:oai:europepmc.org:10713515","doi":null,"is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/11897181","pdf_url":null,"source":{"id":"https://openalex.org/S4306400806","display_name":"Europe PMC (PubMed Central)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I1303153112","host_organization_name":"European Bioinformatics Institute","host_organization_lineage":["https://openalex.org/I1303153112"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":null,"raw_type":"Text"},{"id":"pmid:40069325","doi":null,"is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/40069325","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Scientific reports","raw_type":"Journal Article"},{"id":"pmh:oai:pubmedcentral.nih.gov:11897181","doi":null,"is_oa":true,"landing_page_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC11897181/","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sci Rep","raw_type":"Text"},{"id":"pmh:oai:doaj.org/article:bfa4baa67c4f4101bb1e5b1fd6521f8f","doi":null,"is_oa":true,"landing_page_url":"https://doaj.org/article/bfa4baa67c4f4101bb1e5b1fd6521f8f","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Scientific Reports, Vol 15, Iss 1, Pp 1-18 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1038/s41598-025-92629-x","doi":"https://doi.org/10.1038/s41598-025-92629-x","is_oa":true,"landing_page_url":"https://doi.org/10.1038/s41598-025-92629-x","pdf_url":null,"source":{"id":"https://openalex.org/S196734849","display_name":"Scientific Reports","issn_l":"2045-2322","issn":["2045-2322"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["anvur-class-a","anvur-scientific","cwts-core","doaj","dongbi-c","doyens","jufo-1","ki-jl-1","medline","norway-1","poland-140","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310319908","host_organization_name":"Nature Portfolio","host_organization_lineage":["https://openalex.org/P4310319908","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Nature Portfolio","Springer Nature"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Scientific Reports","raw_type":"journal-article"},"sustainable_development_goals":[],"study_designs":[],"awards":[{"id":"https://openalex.org/G3640391399","display_name":"\u57fa\u4e8e\u5206\u5f62\u7406\u8bba\u7814\u7a76\u8868\u9762\u5f62\u8c8c\u5bf9\u5fae\u7eb3\u7ea4\u7ef4\u6750\u6599\u6c14\u4f53\u8f93\u8fd0\u7684\u5f71\u54cd","funder_award_id":"11972266","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320313620","display_name":"Hubei Provincial Department of Education","ror":"https://ror.org/05yaa9j15"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4408339486.pdf","grobid_xml":"https://content.openalex.org/works/W4408339486.grobid-xml"},"referenced_works_count":75,"referenced_works":["https://openalex.org/W1536680647","https://openalex.org/W1901129140","https://openalex.org/W1958291604","https://openalex.org/W1980038761","https://openalex.org/W2005536920","https://openalex.org/W2020912318","https://openalex.org/W2052561654","https://openalex.org/W2086866337","https://openalex.org/W2097117768","https://openalex.org/W2109255472","https://openalex.org/W2111308925","https://openalex.org/W2122892105","https://openalex.org/W2162915993","https://openalex.org/W2190186811","https://openalex.org/W2194775991","https://openalex.org/W2294802479","https://openalex.org/W2510520237","https://openalex.org/W2515866431","https://openalex.org/W2592962403","https://openalex.org/W2607558879","https://openalex.org/W2612445135","https://openalex.org/W2621526417","https://openalex.org/W2746325398","https://openalex.org/W2765154721","https://openalex.org/W2787070260","https://openalex.org/W2789619030","https://openalex.org/W2796347433","https://openalex.org/W2799466885","https://openalex.org/W2807872667","https://openalex.org/W2890732922","https://openalex.org/W2919352650","https://openalex.org/W2920232463","https://openalex.org/W2940791172","https://openalex.org/W2963163009","https://openalex.org/W2963446712","https://openalex.org/W2971339586","https://openalex.org/W2986438326","https://openalex.org/W2988666519","https://openalex.org/W2991682101","https://openalex.org/W3004916592","https://openalex.org/W3030520226","https://openalex.org/W3034403122","https://openalex.org/W3035414587","https://openalex.org/W3036289652","https://openalex.org/W3040304705","https://openalex.org/W3094502228","https://openalex.org/W3113566736","https://openalex.org/W3119356360","https://openalex.org/W3134231019","https://openalex.org/W3138516171","https://openalex.org/W3155804464","https://openalex.org/W3163222380","https://openalex.org/W3166222966","https://openalex.org/W3172075653","https://openalex.org/W3203166921","https://openalex.org/W3203326738","https://openalex.org/W3216720075","https://openalex.org/W4210842488","https://openalex.org/W4285248393","https://openalex.org/W4289792714","https://openalex.org/W4312443924","https://openalex.org/W4312964364","https://openalex.org/W4380608095","https://openalex.org/W4386071462","https://openalex.org/W4386212367","https://openalex.org/W4390110564","https://openalex.org/W4390788051","https://openalex.org/W4392241797","https://openalex.org/W4399154429","https://openalex.org/W4399297220","https://openalex.org/W4399704733","https://openalex.org/W4401543066","https://openalex.org/W4401726371","https://openalex.org/W4402727675","https://openalex.org/W6603884005"],"related_works":["https://openalex.org/W3014323018","https://openalex.org/W4411142846","https://openalex.org/W4417473249","https://openalex.org/W4313298593","https://openalex.org/W4412595926","https://openalex.org/W7151267329","https://openalex.org/W4378832542","https://openalex.org/W2548390752","https://openalex.org/W7161631678","https://openalex.org/W7076053256"],"abstract_inverted_index":{"Remote":[0],"sensing":[1,178],"images":[2],"present":[3],"formidable":[4],"classification":[5,167,180,205],"challenges":[6],"due":[7],"to":[8,66,76,123,128],"their":[9],"complex":[10],"spatial":[11,92],"organization,":[12],"high":[13],"inter-class":[14,121],"similarity,":[15],"and":[16,27,70,138,161],"significant":[17,186],"intra-class":[18],"variability.":[19],"To":[20],"address":[21],"the":[22,47,90,97,125,135,143,146,151,174,192,201],"balance":[23],"between":[24],"computational":[25,68],"efficiency":[26],"feature":[28,74,79,82],"extraction":[29],"capability":[30],"in":[31,211],"existing":[32],"methods,":[33],"this":[34],"paper":[35],"innovatively":[36],"proposes":[37],"a":[38,50,56,72,84,111,119,208],"lightweight":[39],"convolutional":[40],"network,":[41],"STConvNeXt.":[42],"In":[43,106],"its":[44],"architectural":[45],"design,":[46,197],"model":[48,202],"incorporates":[49],"split-based":[51],"mobile":[52],"convolution":[53],"module":[54,88,196],"with":[55,150,173],"hierarchical":[57],"tree":[58,75],"structure.":[59],"It":[60],"employs":[61],"parameterized":[62],"depthwise":[63],"separable":[64],"convolutions":[65],"reduce":[67],"complexity":[69],"constructs":[71],"multi-level":[73],"facilitate":[77],"cross-scale":[78],"fusion.":[80],"For":[81],"enhancement,":[83],"fast":[85],"pyramid":[86,93],"pooling":[87],"replaces":[89],"traditional":[91],"structure,":[94],"effectively":[95],"reducing":[96],"number":[98],"of":[99,108,145,194],"parameters":[100],"while":[101,165],"preserving":[102],"large-scale":[103],"contextual":[104],"awareness.":[105],"terms":[107],"training":[109],"strategy,":[110],"dynamic":[112],"threshold":[113],"loss":[114],"function":[115],"is":[116],"introduced,":[117],"utilizing":[118],"learnable":[120],"margin":[122],"improve":[124],"model's":[126],"ability":[127],"distinguish":[129],"difficult-to-classify":[130],"samples.":[131],"Systematic":[132],"experiments":[133],"on":[134],"UCMerced,":[136],"AID,":[137],"NWPU-RESISC45":[139],"benchmark":[140],"datasets":[141],"validate":[142],"effectiveness":[144,193],"proposed":[147],"approach:":[148],"compared":[149,172],"ConvNeXt":[152],"baseline,":[153],"STConvNeXt":[154],"reduces":[155],"both":[156],"parameter":[157],"count":[158],"(by":[159,163],"56.49%)":[160],"FLOPs":[162],"49.89%),":[164],"improving":[166],"accuracy":[168,206],"by":[169],"1.2-2.7%.":[170],"Furthermore,":[171],"current":[175],"state-of-the-art":[176],"remote":[177],"scene":[179],"models,":[181],"our":[182],"method":[183],"still":[184],"exhibits":[185],"advantages.":[187],"Ablation":[188],"studies":[189],"further":[190],"confirm":[191],"each":[195],"particularly":[198],"demonstrating":[199],"that":[200],"maintains":[203],"excellent":[204],"despite":[207],"substantial":[209],"reduction":[210],"parameters.":[212]},"counts_by_year":[{"year":2026,"cited_by_count":25},{"year":2025,"cited_by_count":14}],"updated_date":"2026-11-12T12:28:57.059296","created_date":"2025-03-12T00:00:00"}
