{"id":"https://openalex.org/W4399458835","doi":"https://doi.org/10.1145/3655755.3655758","title":"A Hierarchical Underwater Acoustic Target Recognition Method Based on Transformer and Transfer Learning","display_name":"A Hierarchical Underwater Acoustic Target Recognition Method Based on Transformer and Transfer Learning","publication_year":2024,"publication_date":"2024-03-14","ids":{"openalex":"https://openalex.org/W4399458835","doi":"https://doi.org/10.1145/3655755.3655758"},"language":"en","primary_location":{"id":"doi:10.1145/3655755.3655758","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3655755.3655758","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 6th International Conference on Image Video and Signal Processing","raw_type":"proceedings-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/A5036522935","display_name":"Lu Chen","orcid":"https://orcid.org/0009-0005-0126-3878"},"institutions":[{"id":"https://openalex.org/I1327237609","display_name":"Ministry of Education of the People's Republic of China","ror":"https://ror.org/01mv9t934","country_code":"CN","type":"government","lineage":["https://openalex.org/I1327237609","https://openalex.org/I4210127390"]},{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Lu Chen","raw_affiliation_strings":["Key Laboratory of Underwater Acoustic Signal Processing (Southeast University), Ministry of Education, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Underwater Acoustic Signal Processing (Southeast University), Ministry of Education, China","institution_ids":["https://openalex.org/I1327237609","https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002368759","display_name":"Xinwei Luo","orcid":"https://orcid.org/0000-0003-1165-1522"},"institutions":[{"id":"https://openalex.org/I1327237609","display_name":"Ministry of Education of the People's Republic of China","ror":"https://ror.org/01mv9t934","country_code":"CN","type":"government","lineage":["https://openalex.org/I1327237609","https://openalex.org/I4210127390"]},{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinwei Luo","raw_affiliation_strings":["Key Laboratory of Underwater Acoustic Signal Processing (Southeast University), Ministry of Education, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Underwater Acoustic Signal Processing (Southeast University), Ministry of Education, China","institution_ids":["https://openalex.org/I1327237609","https://openalex.org/I76569877"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5046665045","display_name":"Hanlu Zhou","orcid":null},"institutions":[{"id":"https://openalex.org/I1327237609","display_name":"Ministry of Education of the People's Republic of China","ror":"https://ror.org/01mv9t934","country_code":"CN","type":"government","lineage":["https://openalex.org/I1327237609","https://openalex.org/I4210127390"]},{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hanlu Zhou","raw_affiliation_strings":["Key Laboratory of Underwater Acoustic Signal Processing (Southeast University), Ministry of Education, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Underwater Acoustic Signal Processing (Southeast University), Ministry of Education, China","institution_ids":["https://openalex.org/I1327237609","https://openalex.org/I76569877"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5036522935"],"corresponding_institution_ids":["https://openalex.org/I1327237609","https://openalex.org/I76569877"],"apc_list":null,"apc_paid":null,"fwci":1.4141,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.78824627,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"16","last_page":"24"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11698","display_name":"Underwater Acoustics Research","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1910","display_name":"Oceanography"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11698","display_name":"Underwater Acoustics Research","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1910","display_name":"Oceanography"},"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/T11609","display_name":"Geophysical Methods and Applications","score":0.9958999752998352,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean 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/T10860","display_name":"Speech and Audio Processing","score":0.9908999800682068,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/transformer","display_name":"Transformer","score":0.7196159362792969},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6554747223854065},{"id":"https://openalex.org/keywords/underwater","display_name":"Underwater","score":0.6478371620178223},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5656696557998657},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.5415154099464417},{"id":"https://openalex.org/keywords/bottleneck","display_name":"Bottleneck","score":0.5206707715988159},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5112130641937256},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5033044219017029},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.44875606894493103},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4359205365180969},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.4312337636947632},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.40462759137153625},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4000171720981598},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.27634769678115845},{"id":"https://openalex.org/keywords/voltage","display_name":"Voltage","score":0.08440935611724854},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.07718491554260254},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.07002419233322144}],"concepts":[{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.7196159362792969},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6554747223854065},{"id":"https://openalex.org/C98083399","wikidata":"https://www.wikidata.org/wiki/Q3246517","display_name":"Underwater","level":2,"score":0.6478371620178223},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5656696557998657},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.5415154099464417},{"id":"https://openalex.org/C2780513914","wikidata":"https://www.wikidata.org/wiki/Q18210350","display_name":"Bottleneck","level":2,"score":0.5206707715988159},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5112130641937256},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5033044219017029},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.44875606894493103},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4359205365180969},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.4312337636947632},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.40462759137153625},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4000171720981598},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.27634769678115845},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.08440935611724854},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.07718491554260254},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.07002419233322144},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3655755.3655758","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3655755.3655758","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 6th International Conference on Image Video and Signal Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/14","score":0.5899999737739563,"display_name":"Life below water"}],"awards":[{"id":"https://openalex.org/G7785991645","display_name":null,"funder_award_id":"12174053","funder_id":"https://openalex.org/F4320323817","funder_display_name":"Universitas Brawijaya"}],"funders":[{"id":"https://openalex.org/F4320323817","display_name":"Universitas Brawijaya","ror":"https://ror.org/01wk3d929"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W913766692","https://openalex.org/W1529886563","https://openalex.org/W1551284826","https://openalex.org/W1899504021","https://openalex.org/W2012296273","https://openalex.org/W2108598243","https://openalex.org/W2136848157","https://openalex.org/W2395579298","https://openalex.org/W2541190350","https://openalex.org/W2889994223","https://openalex.org/W2951228273","https://openalex.org/W2996325784","https://openalex.org/W3005965220","https://openalex.org/W3012651379","https://openalex.org/W3022420203","https://openalex.org/W3041133507","https://openalex.org/W3092682343","https://openalex.org/W3094502228","https://openalex.org/W3132949086","https://openalex.org/W3133894893","https://openalex.org/W3135247824","https://openalex.org/W3136465594","https://openalex.org/W3138516171","https://openalex.org/W3158553615","https://openalex.org/W3176726540","https://openalex.org/W3196974791","https://openalex.org/W3205743929","https://openalex.org/W3207413899","https://openalex.org/W3213256753","https://openalex.org/W4283837884","https://openalex.org/W4289323538","https://openalex.org/W4290944058"],"related_works":["https://openalex.org/W2595172197","https://openalex.org/W2084856301","https://openalex.org/W2127970246","https://openalex.org/W2885125400","https://openalex.org/W1001352512","https://openalex.org/W1989889224","https://openalex.org/W4382618745","https://openalex.org/W1973775000","https://openalex.org/W2748922771","https://openalex.org/W1987128138"],"abstract_inverted_index":{"Underwater":[0,80],"acoustic":[1,15,73],"target":[2],"recognition":[3,22,32,191],"(UATR)":[4],"is":[5,40],"one":[6],"of":[7,30,35,43,122,142,175],"the":[8,13,36,41,49,62,68,111,116,123,129,135,146,152,157,161,166,182,186],"essential":[9],"research":[10],"directions":[11],"in":[12,156],"underwater":[14,72],"signal":[16],"processing":[17],"field.":[18],"The":[19,89,107],"machine":[20],"learning-based":[21],"methods":[23],"have":[24],"solved":[25],"some":[26],"performance":[27,192],"bottleneck":[28],"problems":[29],"traditional":[31,124],"methods.":[33],"One":[34],"challenges":[37],"faced":[38],"now":[39],"lack":[42,174],"trainable":[44],"data.":[45,177],"This":[46,75],"paper":[47,76,150],"uses":[48,110],"transfer":[50,61],"learning":[51],"(TL)":[52],"strategy":[53,188],"for":[54,85],"UATR":[55,162],"with":[56,185],"limited":[57],"training":[58,136,170,176],"samples.":[59],"We":[60],"pre-trained":[63,155],"Swin":[64,112],"Transformer":[65,82,90,113,125,153],"model":[66,84,109,169,184],"on":[67,115,168,193],"ImageNet":[69],"dataset":[70],"to":[71,160,172],"signals.":[74],"presents":[77],"a":[78,140,173],"Hierarchical":[79],"Acoustic":[81],"(HUATrans)":[83],"ship-radiated":[86,194],"noise":[87,195],"recognition.":[88],"architecture":[91,126,154],"has":[92],"better":[93],"feature":[94],"extraction":[95],"capability":[96],"than":[97],"Convolutional":[98],"Neural":[99,104],"Networks":[100,105],"(CNNs)":[101],"and":[102,127,138,198],"Recurrent":[103],"(RNNs).":[106],"proposed":[108],"based":[114],"shifted":[117],"window":[118],"self-attention":[119],"mechanism":[120],"instead":[121],"improves":[128],"patch":[130],"embedding":[131],"module.":[132],"It":[133],"reduces":[134],"time":[137],"saves":[139],"lot":[141],"computational":[143],"resources.":[144],"At":[145],"same":[147],"time,":[148],"this":[149],"transfers":[151],"image":[158],"domain":[159],"domain,":[163],"which":[164],"alleviates":[165],"burden":[167],"due":[171],"Experimental":[178],"results":[179],"show":[180],"that":[181],"HUATrans":[183],"TL":[187],"achieves":[189],"excellent":[190],"datasets":[196],"DeepShip":[197],"ShipsEar.":[199]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1}],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}