{"id":"https://openalex.org/W4322746879","doi":"https://doi.org/10.2298/csis220714015w","title":"Large-scale image classification with multi-perspective deep transfer learning","display_name":"Large-scale image classification with multi-perspective deep transfer learning","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4322746879","doi":"https://doi.org/10.2298/csis220714015w"},"language":"en","primary_location":{"id":"doi:10.2298/csis220714015w","is_oa":true,"landing_page_url":"http://dx.doi.org/10.2298/csis220714015w","pdf_url":"http://www.doiserbia.nb.rs/ft.aspx?id=1820-02142300015W","source":{"id":"https://openalex.org/S206939107","display_name":"Computer Science and Information Systems","issn_l":"1820-0214","issn":["1820-0214","2406-1018"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310321031","host_organization_name":"ComSIS Consortium","host_organization_lineage":["https://openalex.org/P4310321031"],"host_organization_lineage_names":["ComSIS Consortium"],"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":"Computer Science and Information Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"http://www.doiserbia.nb.rs/ft.aspx?id=1820-02142300015W","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5026291260","display_name":"Wu Bin","orcid":"https://orcid.org/0000-0003-3221-521X"},"institutions":[{"id":"https://openalex.org/I111599522","display_name":"Jiangnan University","ror":"https://ror.org/04mkzax54","country_code":"CN","type":"education","lineage":["https://openalex.org/I111599522"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Bin Wu","raw_affiliation_strings":["School of Internet of Things Engineering, Jiangnan University, Wuxi, China","School of Internet of Things Engineering, Jiangnan University, Wuxi, 214122, China"],"affiliations":[{"raw_affiliation_string":"School of Internet of Things Engineering, Jiangnan University, Wuxi, China","institution_ids":["https://openalex.org/I111599522"]},{"raw_affiliation_string":"School of Internet of Things Engineering, Jiangnan University, Wuxi, 214122, China","institution_ids":["https://openalex.org/I111599522"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100375792","display_name":"Tao Zhang","orcid":"https://orcid.org/0000-0002-2980-6281"},"institutions":[{"id":"https://openalex.org/I4210129465","display_name":"Wuhan Ship Development & Design Institute","ror":"https://ror.org/02mcdae06","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210129465"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tao Zhang","raw_affiliation_strings":["China Ship Scientific Research Center, Wuxi, China","China Ship Scientific Research Center, Wuxi 214122, China"],"affiliations":[{"raw_affiliation_string":"China Ship Scientific Research Center, Wuxi, China","institution_ids":["https://openalex.org/I4210129465"]},{"raw_affiliation_string":"China Ship Scientific Research Center, Wuxi 214122, China","institution_ids":["https://openalex.org/I4210129465"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101595002","display_name":"Li Mao","orcid":"https://orcid.org/0000-0002-5383-379X"},"institutions":[{"id":"https://openalex.org/I111599522","display_name":"Jiangnan University","ror":"https://ror.org/04mkzax54","country_code":"CN","type":"education","lineage":["https://openalex.org/I111599522"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Li Mao","raw_affiliation_strings":["School of Artificial Intelligence and Computer Science, Jiangnan University, Wuxi, China","School of Artificial Intelligence and Computer Science, Jiangnan University, Wuxi, 214122, China"],"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence and Computer Science, Jiangnan University, Wuxi, China","institution_ids":["https://openalex.org/I111599522"]},{"raw_affiliation_string":"School of Artificial Intelligence and Computer Science, Jiangnan University, Wuxi, 214122, China","institution_ids":["https://openalex.org/I111599522"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5026291260"],"corresponding_institution_ids":["https://openalex.org/I111599522"],"apc_list":null,"apc_paid":null,"fwci":0.1728,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.52352606,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"20","issue":"2","first_page":"743","last_page":"763"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9819999933242798,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9819999933242798,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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":0.9689000248908997,"subfield":{"id":"https://openalex.org/subfields/1902","display_name":"Atmospheric Science"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9623000025749207,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/interpretability","display_name":"Interpretability","score":0.9118809700012207},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8867859840393066},{"id":"https://openalex.org/keywords/perspective","display_name":"Perspective (graphical)","score":0.7256077527999878},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7136884927749634},{"id":"https://openalex.org/keywords/dimension","display_name":"Dimension (graph theory)","score":0.6970358490943909},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5920130610466003},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.5465644598007202},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5124821662902832},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.4851561188697815},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.48464304208755493},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4789296090602875},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.47626492381095886},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.4630814492702484},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4429951012134552},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3789796829223633},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.06439393758773804}],"concepts":[{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.9118809700012207},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8867859840393066},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.7256077527999878},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7136884927749634},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.6970358490943909},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5920130610466003},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.5465644598007202},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5124821662902832},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.4851561188697815},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.48464304208755493},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4789296090602875},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.47626492381095886},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.4630814492702484},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4429951012134552},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3789796829223633},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.06439393758773804},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.2298/csis220714015w","is_oa":true,"landing_page_url":"http://dx.doi.org/10.2298/csis220714015w","pdf_url":"http://www.doiserbia.nb.rs/ft.aspx?id=1820-02142300015W","source":{"id":"https://openalex.org/S206939107","display_name":"Computer Science and Information Systems","issn_l":"1820-0214","issn":["1820-0214","2406-1018"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310321031","host_organization_name":"ComSIS Consortium","host_organization_lineage":["https://openalex.org/P4310321031"],"host_organization_lineage_names":["ComSIS Consortium"],"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":"Computer Science and Information Systems","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.2298/csis220714015w","is_oa":true,"landing_page_url":"http://dx.doi.org/10.2298/csis220714015w","pdf_url":"http://www.doiserbia.nb.rs/ft.aspx?id=1820-02142300015W","source":{"id":"https://openalex.org/S206939107","display_name":"Computer Science and Information Systems","issn_l":"1820-0214","issn":["1820-0214","2406-1018"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310321031","host_organization_name":"ComSIS Consortium","host_organization_lineage":["https://openalex.org/P4310321031"],"host_organization_lineage_names":["ComSIS Consortium"],"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":"Computer Science and Information Systems","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","score":0.4099999964237213,"id":"https://metadata.un.org/sdg/9"}],"awards":[{"id":"https://openalex.org/G283044312","display_name":null,"funder_award_id":"B12018","funder_id":"https://openalex.org/F4320327912","funder_display_name":"Higher Education Discipline Innovation Project"},{"id":"https://openalex.org/G7153483629","display_name":null,"funder_award_id":"B1201","funder_id":"https://openalex.org/F4320327912","funder_display_name":"Higher Education Discipline Innovation Project"},{"id":"https://openalex.org/G85621310","display_name":null,"funder_award_id":"12018","funder_id":"https://openalex.org/F4320327912","funder_display_name":"Higher Education Discipline Innovation Project"}],"funders":[{"id":"https://openalex.org/F4320327912","display_name":"Higher Education Discipline Innovation Project","ror":null}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4322746879.pdf"},"referenced_works_count":33,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1924762813","https://openalex.org/W1959000896","https://openalex.org/W2001363449","https://openalex.org/W2074960111","https://openalex.org/W2108598243","https://openalex.org/W2194775991","https://openalex.org/W2307770531","https://openalex.org/W2325939864","https://openalex.org/W2331128040","https://openalex.org/W2549139847","https://openalex.org/W2550553598","https://openalex.org/W2575032143","https://openalex.org/W2618530766","https://openalex.org/W2741358105","https://openalex.org/W2752782242","https://openalex.org/W2866634454","https://openalex.org/W2884585870","https://openalex.org/W2895340641","https://openalex.org/W2959224859","https://openalex.org/W2964115256","https://openalex.org/W2981731882","https://openalex.org/W2982316422","https://openalex.org/W2991579958","https://openalex.org/W2997558642","https://openalex.org/W3021813981","https://openalex.org/W3119051141","https://openalex.org/W3133038248","https://openalex.org/W3139484821","https://openalex.org/W3177525997","https://openalex.org/W4282916794","https://openalex.org/W4288083803","https://openalex.org/W6819490522"],"related_works":["https://openalex.org/W4385957992","https://openalex.org/W4229079080","https://openalex.org/W4206534706","https://openalex.org/W3135818718","https://openalex.org/W3091976719","https://openalex.org/W4385965371","https://openalex.org/W3012393889","https://openalex.org/W4386025632","https://openalex.org/W3018421652","https://openalex.org/W3021430260"],"abstract_inverted_index":{"Most":[0],"research":[1],"efforts":[2],"on":[3,11],"image":[4],"classification":[5],"so":[6],"far":[7],"have":[8],"been":[9],"focused":[10],"medium-scale":[12],"datasets.":[13],"In":[14,30,102],"addition,":[15,103],"there":[16],"exist":[17],"other":[18],"problems,":[19],"such":[20],"as":[21],"difficulty":[22],"in":[23,86,94,99],"feature":[24],"extraction":[25],"and":[26,50,63,115,134],"small":[27],"sample":[28],"size.":[29],"order":[31],"to":[32,75,132],"address":[33],"above":[34],"difficulties,":[35],"this":[36],"paper":[37],"proposes":[38],"a":[39,92],"multi-perspective":[40],"convolutional":[41],"neural":[42],"network":[43],"model,":[44],"which":[45],"contains":[46],"channel":[47,61],"attention":[48,52,58],"module":[49],"spatial":[51,64],"module.":[53],"The":[54],"proposed":[55,125],"modules":[56],"derive":[57],"graphs":[59],"from":[60],"dimension":[62,65],"respectively,":[66],"then":[67],"the":[68,76,79,84,106,109,121,136],"input":[69],"features":[70],"are":[71],"selectively":[72],"learned":[73],"according":[74],"importance":[77],"of":[78,108,123],"features.":[80],"We":[81],"explain":[82],"how":[83],"gain":[85],"storage":[87],"can":[88,127],"be":[89,128],"traded":[90],"against":[91],"loss":[93],"accuracy":[95,122],"and/or":[96],"an":[97],"increase":[98],"CPU":[100],"cost.":[101],"we":[104],"give":[105],"interpretability":[107],"model":[110,126],"at":[111],"multiple":[112],"scales.":[113],"Quantitative":[114],"qualitative":[116],"experimental":[117],"results":[118],"demonstrate":[119],"that":[120],"our":[124],"improved":[129],"by":[130],"up":[131],"3.8%":[133],"outperforms":[135],"state-of-the-art":[137],"methods.":[138]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}