{"id":"https://openalex.org/W4391791391","doi":"https://doi.org/10.1109/tgrs.2024.3365711","title":"More Modalities Mean Better: Vessel Target Recognition and Localization Through Symbiotic Transformer and Multiview Regression","display_name":"More Modalities Mean Better: Vessel Target Recognition and Localization Through Symbiotic Transformer and Multiview Regression","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4391791391","doi":"https://doi.org/10.1109/tgrs.2024.3365711"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2024.3365711","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2024.3365711","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"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 Transactions on Geoscience and Remote Sensing","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/A5019633696","display_name":"Shipei Liu","orcid":"https://orcid.org/0000-0002-2801-7512"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shipei Liu","raw_affiliation_strings":["School of Software, Dalian University of Technology, Dalian, China"],"raw_orcid":"https://orcid.org/0000-0002-2801-7512","affiliations":[{"raw_affiliation_string":"School of Software, Dalian University of Technology, Dalian, China","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055305202","display_name":"Xiaoya Fan","orcid":"https://orcid.org/0000-0002-5002-6968"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoya Fan","raw_affiliation_strings":["School of Software, Dalian University of Technology, Dalian, China"],"raw_orcid":"https://orcid.org/0000-0002-5002-6968","affiliations":[{"raw_affiliation_string":"School of Software, Dalian University of Technology, Dalian, China","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029356396","display_name":"Guowei Wu","orcid":"https://orcid.org/0000-0002-3929-3598"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guowei Wu","raw_affiliation_strings":["School of Software, Dalian University of Technology, Dalian, China"],"raw_orcid":"https://orcid.org/0000-0002-3929-3598","affiliations":[{"raw_affiliation_string":"School of Software, Dalian University of Technology, Dalian, China","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067849522","display_name":"Lin Yao","orcid":"https://orcid.org/0000-0001-8138-6045"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lin Yao","raw_affiliation_strings":["DUT-RU International School of Information Science and Engineering, Dalian University of Technology, Dalian, China"],"raw_orcid":"https://orcid.org/0000-0001-8138-6045","affiliations":[{"raw_affiliation_string":"DUT-RU International School of Information Science and Engineering, Dalian University of Technology, Dalian, China","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5091257100","display_name":"Shisong Geng","orcid":"https://orcid.org/0000-0002-2892-1915"},"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/I4210128818","display_name":"Institute of Software","ror":"https://ror.org/033dfsn42","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210128818"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shisong Geng","raw_affiliation_strings":["Institute of Software, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Software, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210128818"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.2358,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.73448424,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"62","issue":null,"first_page":"1","last_page":"12"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11698","display_name":"Underwater Acoustics Research","score":0.9970999956130981,"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":0.9970999956130981,"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/T11622","display_name":"Maritime Navigation and Safety","score":0.9761999845504761,"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/T11192","display_name":"Underwater Vehicles and Communication Systems","score":0.9761000275611877,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.763601541519165},{"id":"https://openalex.org/keywords/normalization","display_name":"Normalization (sociology)","score":0.6984131932258606},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6297799348831177},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5446287393569946},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5434991121292114},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.4817659854888916},{"id":"https://openalex.org/keywords/ground-truth","display_name":"Ground truth","score":0.46625152230262756},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.36115944385528564},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.32427072525024414}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.763601541519165},{"id":"https://openalex.org/C136886441","wikidata":"https://www.wikidata.org/wiki/Q926129","display_name":"Normalization (sociology)","level":2,"score":0.6984131932258606},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6297799348831177},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5446287393569946},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5434991121292114},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.4817659854888916},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.46625152230262756},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.36115944385528564},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.32427072525024414},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C19165224","wikidata":"https://www.wikidata.org/wiki/Q23404","display_name":"Anthropology","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2024.3365711","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2024.3365711","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"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 Transactions on Geoscience and Remote Sensing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Life below water","score":0.6399999856948853,"id":"https://metadata.un.org/sdg/14"}],"awards":[{"id":"https://openalex.org/G4623236952","display_name":null,"funder_award_id":"62272084","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":44,"referenced_works":["https://openalex.org/W273178449","https://openalex.org/W2108598243","https://openalex.org/W2194775991","https://openalex.org/W2466903746","https://openalex.org/W2511568459","https://openalex.org/W2531409750","https://openalex.org/W2809368372","https://openalex.org/W2885291434","https://openalex.org/W2942315111","https://openalex.org/W2970354123","https://openalex.org/W3013022628","https://openalex.org/W3048631361","https://openalex.org/W3093961233","https://openalex.org/W3107071580","https://openalex.org/W3172124183","https://openalex.org/W3187228672","https://openalex.org/W3190018318","https://openalex.org/W3202950905","https://openalex.org/W3211688920","https://openalex.org/W4205801124","https://openalex.org/W4214491048","https://openalex.org/W4225693658","https://openalex.org/W4226481265","https://openalex.org/W4226495185","https://openalex.org/W4280540670","https://openalex.org/W4285135404","https://openalex.org/W4290712918","https://openalex.org/W4292970430","https://openalex.org/W4303712167","https://openalex.org/W4304099166","https://openalex.org/W4312727189","https://openalex.org/W4312763854","https://openalex.org/W4312815893","https://openalex.org/W4313855655","https://openalex.org/W4319769807","https://openalex.org/W4321460190","https://openalex.org/W4322502680","https://openalex.org/W4366091961","https://openalex.org/W4366148204","https://openalex.org/W4385245566","https://openalex.org/W4387968671","https://openalex.org/W6637373629","https://openalex.org/W6729448088","https://openalex.org/W6793736971"],"related_works":["https://openalex.org/W2591697403","https://openalex.org/W2944728705","https://openalex.org/W2904022177","https://openalex.org/W2359348847","https://openalex.org/W3011538607","https://openalex.org/W4294432981","https://openalex.org/W4321441197","https://openalex.org/W2953716828","https://openalex.org/W2469820710","https://openalex.org/W4321276295"],"abstract_inverted_index":{"Vessel":[0],"target":[1,130,138,208],"recognition":[2,209],"and":[3,21,34,52,72,80,96,124,184,189,196,201,210],"localization":[4],"are":[5,89],"typically":[6],"modeled":[7],"using":[8,40],"underwater":[9],"acoustic":[10],"signals,":[11],"which":[12],"contain":[13],"a":[14,100,105,141],"large":[15],"amount":[16],"of":[17,46,56,140,170],"vessel":[18,57,74,129,162,207],"operating":[19,26],"characteristics":[20,27],"condition":[22],"information.":[23],"However,":[24],"extracting":[25],"from":[28,144],"single":[29],"signals":[30],"faces":[31,43],"heavy":[32],"noise":[33],"non-stationarity":[35],"challenges.":[36],"Meanwhile,":[37],"feature":[38],"extraction":[39],"multimodal":[41,157,179,203],"data":[42],"the":[44,54,86,116,133,151],"challenges":[45],"conflicting":[47],"gradients":[48],"between":[49],"different":[50,145],"modalities":[51],"ensuring":[53],"separability":[55],"targets.":[58],"To":[59],"tackle":[60],"these":[61],"issues,":[62],"we":[63,164,192],"propose":[64],"an":[65],"audio-visual-textual":[66,147],"features":[67],"fusion":[68],"method":[69,135],"to":[70,111,149,177],"recognize":[71],"localize":[73],"targets":[75],"through":[76],"Symbiotic":[77],"Transformer":[78],"(Symb-Trans)":[79],"Multi-View":[81],"Regression":[82],"(MVR)":[83],"models.":[84],"Specifically,":[85],"audio-visual":[87,126],"samples":[88],"first":[90],"preprocessed":[91],"into":[92,99],"paired":[93],"time":[94],"series":[95],"then":[97],"projected":[98],"unified":[101],"optimization":[102],"landscape":[103],"via":[104],"Heterogeneous":[106],"Batch":[107],"Normalization":[108],"(HetBN)":[109],"layer":[110],"avoid":[112],"gradient":[113],"conflicts.":[114],"Second,":[115],"Symb-Trans":[117,195],"trains":[118],"parallel":[119],"encoders":[120],"with":[121],"cross-modal":[122],"attention":[123],"embeds":[125],"representations":[127],"for":[128,161,181,206],"recognition.":[131],"Finally,":[132],"MVR":[134,197],"learns":[136],"neighboring":[137],"properties":[139],"graph":[142],"model":[143,182],"perspectives,":[146],"representations,":[148],"infer":[150],"collector-target":[152],"distance.":[153],"Since":[154],"no":[155],"off-the-shell":[156],"dataset":[158],"is":[159],"available":[160],"targets,":[163],"combine":[165],"multiple":[166],"public":[167],"datasets,":[168],"consisting":[169],"acoustic,":[171],"and/or":[172,174],"visual,":[173],"textural":[175],"data,":[176],"obtain":[178],"materials":[180],"training":[183],"validation.":[185],"Through":[186],"experimental":[187],"results":[188],"theoretical":[190],"analysis,":[191],"show":[193],"that":[194],"models":[198],"outperform":[199],"unimodal":[200],"generic":[202],"state-of-the-art":[204],"solutions":[205],"localization.":[211]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}
