{"id":"https://openalex.org/W3085548198","doi":"https://doi.org/10.1109/access.2020.3022883","title":"Maritime Visible Image Classification Based on Double Transfer Method","display_name":"Maritime Visible Image Classification Based on Double Transfer Method","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3085548198","doi":"https://doi.org/10.1109/access.2020.3022883","mag":"3085548198"},"language":"en","primary_location":{"id":"doi:10.1109/access.2020.3022883","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3022883","pdf_url":null,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","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://doi.org/10.1109/access.2020.3022883","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5059543525","display_name":"Ruiyu Zhao","orcid":"https://orcid.org/0000-0001-7209-8041"},"institutions":[{"id":"https://openalex.org/I96733725","display_name":"Shanghai Maritime University","ror":"https://ror.org/04z7qrj66","country_code":"CN","type":"education","lineage":["https://openalex.org/I96733725"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Ruiyu Zhao","raw_affiliation_strings":["Key Laboratory of Marine Technology and Control Engineering, Shanghai Maritime University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Marine Technology and Control Engineering, Shanghai Maritime University, Shanghai, China","institution_ids":["https://openalex.org/I96733725"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100692608","display_name":"Jianhua Wang","orcid":"https://orcid.org/0000-0002-0588-1594"},"institutions":[{"id":"https://openalex.org/I96733725","display_name":"Shanghai Maritime University","ror":"https://ror.org/04z7qrj66","country_code":"CN","type":"education","lineage":["https://openalex.org/I96733725"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianhua Wang","raw_affiliation_strings":["Key Laboratory of Marine Technology and Control Engineering, Shanghai Maritime University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Marine Technology and Control Engineering, Shanghai Maritime University, Shanghai, China","institution_ids":["https://openalex.org/I96733725"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100701861","display_name":"Xiang Zheng","orcid":"https://orcid.org/0000-0003-3610-746X"},"institutions":[{"id":"https://openalex.org/I96733725","display_name":"Shanghai Maritime University","ror":"https://ror.org/04z7qrj66","country_code":"CN","type":"education","lineage":["https://openalex.org/I96733725"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiang Zheng","raw_affiliation_strings":["Key Laboratory of Marine Technology and Control Engineering, Shanghai Maritime University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Marine Technology and Control Engineering, Shanghai Maritime University, Shanghai, China","institution_ids":["https://openalex.org/I96733725"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100715035","display_name":"Jing Wen","orcid":"https://orcid.org/0000-0003-3800-0105"},"institutions":[{"id":"https://openalex.org/I96733725","display_name":"Shanghai Maritime University","ror":"https://ror.org/04z7qrj66","country_code":"CN","type":"education","lineage":["https://openalex.org/I96733725"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jing Wen","raw_affiliation_strings":["Key Laboratory of Marine Technology and Control Engineering, Shanghai Maritime University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Marine Technology and Control Engineering, Shanghai Maritime University, Shanghai, China","institution_ids":["https://openalex.org/I96733725"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010854997","display_name":"L. S. Vishnu Sai Rao","orcid":"https://orcid.org/0000-0001-5331-7069"},"institutions":[{"id":"https://openalex.org/I96733725","display_name":"Shanghai Maritime University","ror":"https://ror.org/04z7qrj66","country_code":"CN","type":"education","lineage":["https://openalex.org/I96733725"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liuzhong Rao","raw_affiliation_strings":["Key Laboratory of Marine Technology and Control Engineering, Shanghai Maritime University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Marine Technology and Control Engineering, Shanghai Maritime University, Shanghai, China","institution_ids":["https://openalex.org/I96733725"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5061163140","display_name":"Junxia Zhao","orcid":"https://orcid.org/0000-0001-7552-777X"},"institutions":[{"id":"https://openalex.org/I96733725","display_name":"Shanghai Maritime University","ror":"https://ror.org/04z7qrj66","country_code":"CN","type":"education","lineage":["https://openalex.org/I96733725"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junxia Zhao","raw_affiliation_strings":["Key Laboratory of Marine Technology and Control Engineering, Shanghai Maritime University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Marine Technology and Control Engineering, Shanghai Maritime University, Shanghai, China","institution_ids":["https://openalex.org/I96733725"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5059543525"],"corresponding_institution_ids":["https://openalex.org/I96733725"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.9544,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.82040957,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"8","issue":null,"first_page":"166335","last_page":"166346"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9797999858856201,"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"}},"topics":[{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9797999858856201,"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"}},{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9696000218391418,"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/T11019","display_name":"Image Enhancement Techniques","score":0.9663000106811523,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8441345691680908},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.7626378536224365},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.7572264671325684},{"id":"https://openalex.org/keywords/backbone-network","display_name":"Backbone network","score":0.6736409068107605},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6541541814804077},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5861358642578125},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5645735263824463},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5527773499488831},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5370160341262817},{"id":"https://openalex.org/keywords/precision-and-recall","display_name":"Precision and recall","score":0.5158514380455017},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.5158419013023376},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.507089376449585},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.46957728266716003},{"id":"https://openalex.org/keywords/transfer","display_name":"Transfer (computing)","score":0.4344479441642761},{"id":"https://openalex.org/keywords/annotation","display_name":"Annotation","score":0.4210960865020752},{"id":"https://openalex.org/keywords/automatic-image-annotation","display_name":"Automatic image annotation","score":0.41401708126068115},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.4117279350757599},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3881223797798157}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8441345691680908},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.7626378536224365},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.7572264671325684},{"id":"https://openalex.org/C88796919","wikidata":"https://www.wikidata.org/wiki/Q1142907","display_name":"Backbone network","level":2,"score":0.6736409068107605},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6541541814804077},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5861358642578125},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5645735263824463},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5527773499488831},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5370160341262817},{"id":"https://openalex.org/C81669768","wikidata":"https://www.wikidata.org/wiki/Q2359161","display_name":"Precision and recall","level":2,"score":0.5158514380455017},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.5158419013023376},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.507089376449585},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.46957728266716003},{"id":"https://openalex.org/C2776175482","wikidata":"https://www.wikidata.org/wiki/Q1195816","display_name":"Transfer (computing)","level":2,"score":0.4344479441642761},{"id":"https://openalex.org/C2776321320","wikidata":"https://www.wikidata.org/wiki/Q857525","display_name":"Annotation","level":2,"score":0.4210960865020752},{"id":"https://openalex.org/C199579030","wikidata":"https://www.wikidata.org/wiki/Q2851778","display_name":"Automatic image annotation","level":4,"score":0.41401708126068115},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.4117279350757599},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3881223797798157},{"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/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2020.3022883","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3022883","pdf_url":null,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:ffed868ff6a542b98a50d5f382af4002","is_oa":true,"landing_page_url":"https://doaj.org/article/ffed868ff6a542b98a50d5f382af4002","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-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 8, Pp 166335-166346 (2020)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2020.3022883","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3022883","pdf_url":null,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.7599999904632568,"display_name":"Life below water","id":"https://metadata.un.org/sdg/14"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":58,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1686810756","https://openalex.org/W1936798282","https://openalex.org/W1953304751","https://openalex.org/W2019363670","https://openalex.org/W2044328399","https://openalex.org/W2108598243","https://openalex.org/W2128254161","https://openalex.org/W2163605009","https://openalex.org/W2167460663","https://openalex.org/W2194775991","https://openalex.org/W2251201217","https://openalex.org/W2279098554","https://openalex.org/W2382241830","https://openalex.org/W2552331162","https://openalex.org/W2559264300","https://openalex.org/W2592507559","https://openalex.org/W2759001929","https://openalex.org/W2767106145","https://openalex.org/W2787889241","https://openalex.org/W2794359703","https://openalex.org/W2799265886","https://openalex.org/W2802042319","https://openalex.org/W2830936856","https://openalex.org/W2887280559","https://openalex.org/W2892214533","https://openalex.org/W2893813411","https://openalex.org/W2895410835","https://openalex.org/W2901485239","https://openalex.org/W2915963825","https://openalex.org/W2944378183","https://openalex.org/W2952100474","https://openalex.org/W2955425717","https://openalex.org/W2955923365","https://openalex.org/W2963446712","https://openalex.org/W2991391304","https://openalex.org/W2996060033","https://openalex.org/W2997408160","https://openalex.org/W3009894563","https://openalex.org/W3041133507","https://openalex.org/W3043317456","https://openalex.org/W4233618835","https://openalex.org/W4294375521","https://openalex.org/W4299518610","https://openalex.org/W6631190155","https://openalex.org/W6637373629","https://openalex.org/W6682132143","https://openalex.org/W6682778277","https://openalex.org/W6684191040","https://openalex.org/W6695314431","https://openalex.org/W6710322053","https://openalex.org/W6724497479","https://openalex.org/W6734029280","https://openalex.org/W6756230637","https://openalex.org/W6762718338","https://openalex.org/W6762744983","https://openalex.org/W6770432743","https://openalex.org/W6771813622"],"related_works":["https://openalex.org/W3177930984","https://openalex.org/W2052697133","https://openalex.org/W2076896210","https://openalex.org/W2093596879","https://openalex.org/W2384288472","https://openalex.org/W1539573266","https://openalex.org/W2376984068","https://openalex.org/W2201969175","https://openalex.org/W2747088704","https://openalex.org/W2754430077"],"abstract_inverted_index":{"Image":[0],"classification":[1],"using":[2],"deep":[3,40,121],"transfer":[4,41,75,122,166],"learning":[5],"has":[6,137],"received":[7],"significant":[8],"attention,":[9],"benefiting":[10],"from":[11,115],"pre-trained":[12],"with":[13],"the":[14,50,56,62,73,79,84,89,110,116,125,131,153,164,176],"large-scale":[15],"annotation":[16],"dataset":[17,66,154],"and":[18,47,61,83,102,109,140,151,160],"continuous":[19],"improvement":[20],"of":[21,36,58,64,78,100,173],"neural":[22],"network":[23,82,94,112],"structure.":[24],"In":[25,68],"contrast":[26],"to":[27,44,87,105],"universal":[28],"image":[29,96,134,179],"classification,":[30],"however,":[31],"few":[32],"publicly":[33],"available":[34],"datasets":[35,52,60,81,93,127],"maritime":[37,51,133,145,178],"environments":[38],"utilize":[39],"learning.":[42,123],"Due":[43],"data-gathering":[45],"effort":[46],"computational":[48],"cost,":[49],"are":[53],"deficient":[54],"in":[55,175],"method":[57],"merging":[59,80,92,126],"benchmark":[63],"few-shot":[65],"classifiers.":[67],"this":[69],"article,":[70],"we":[71,129,168],"proposed":[72],"double":[74,165],"method,":[76,167],"consisting":[77],"backbone":[85,111,148],"network,":[86,128],"address":[88],"problem.":[90],"The":[91,147],"measuring":[95],"similarity":[97],"separates":[98],"classes":[99],"known":[101],"unknown":[103],"samples":[104],"reorganize":[106],"a":[107],"dataset,":[108,135],"is":[113],"constructed":[114],"model":[117],"EfficientNet-b5":[118],"by":[119],"network-based":[120],"Using":[124,163],"introduce":[130],"visible":[132,177],"which":[136],"3,750":[138],"images":[139],"twenty-five":[141],"classes,":[142],"including":[143],"multitudinous":[144],"objects.":[146],"networks":[149],"evaluated":[150],"analyzed":[152],"based":[155],"on":[156],"accuracy,":[157],"precision,":[158],"recall,":[159],"F-measure":[161],"metrics.":[162],"can":[169],"achieve":[170],"an":[171],"accuracy":[172],"91.39%":[174],"dataset.":[180]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}