{"id":"https://openalex.org/W3089533566","doi":"https://doi.org/10.1109/icarm49381.2020.9195292","title":"Underwater Target Detection Method Based on Third Party Information Transfer Learning","display_name":"Underwater Target Detection Method Based on Third Party Information Transfer Learning","publication_year":2020,"publication_date":"2020-09-14","ids":{"openalex":"https://openalex.org/W3089533566","doi":"https://doi.org/10.1109/icarm49381.2020.9195292","mag":"3089533566"},"language":"en","primary_location":{"id":"doi:10.1109/icarm49381.2020.9195292","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icarm49381.2020.9195292","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 5th International Conference on Advanced Robotics and Mechatronics (ICARM)","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/A5023052125","display_name":"Tao Xu","orcid":"https://orcid.org/0000-0002-8821-4550"},"institutions":[{"id":"https://openalex.org/I4210163247","display_name":"Henan Institute of Science and Technology","ror":"https://ror.org/0578f1k82","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210163247"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Tao Xu","raw_affiliation_strings":["School of Artificial Intelligence, Henan Institute of Science and Technology, Xinxiang, P.R.China"],"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Henan Institute of Science and Technology, Xinxiang, P.R.China","institution_ids":["https://openalex.org/I4210163247"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002035094","display_name":"Jiyong Zhou","orcid":"https://orcid.org/0000-0003-3124-8394"},"institutions":[{"id":"https://openalex.org/I4210163247","display_name":"Henan Institute of Science and Technology","ror":"https://ror.org/0578f1k82","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210163247"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiyong Zhou","raw_affiliation_strings":["School of Mechatronics Electrical Engineering, Henan Institute of Science and Technology, Xinxiang, P.R.China"],"affiliations":[{"raw_affiliation_string":"School of Mechatronics Electrical Engineering, Henan Institute of Science and Technology, Xinxiang, P.R.China","institution_ids":["https://openalex.org/I4210163247"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081396646","display_name":"Lei Cai","orcid":"https://orcid.org/0000-0003-4811-5854"},"institutions":[{"id":"https://openalex.org/I4210163247","display_name":"Henan Institute of Science and Technology","ror":"https://ror.org/0578f1k82","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210163247"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Cai","raw_affiliation_strings":["School of Artificial Intelligence, Henan Institute of Science and Technology, Xinxiang, P.R.China"],"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Henan Institute of Science and Technology, Xinxiang, P.R.China","institution_ids":["https://openalex.org/I4210163247"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101568886","display_name":"Yukun Ma","orcid":"https://orcid.org/0000-0002-4419-4287"},"institutions":[{"id":"https://openalex.org/I4210163247","display_name":"Henan Institute of Science and Technology","ror":"https://ror.org/0578f1k82","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210163247"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yukun Ma","raw_affiliation_strings":["School of Artificial Intelligence, Henan Institute of Science and Technology, Xinxiang, P.R.China"],"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Henan Institute of Science and Technology, Xinxiang, P.R.China","institution_ids":["https://openalex.org/I4210163247"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5023052125"],"corresponding_institution_ids":["https://openalex.org/I4210163247"],"apc_list":null,"apc_paid":null,"fwci":0.185,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.57226587,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":93},"biblio":{"volume":"12","issue":null,"first_page":"616","last_page":"621"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11698","display_name":"Underwater Acoustics Research","score":0.9923999905586243,"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":0.9923999905586243,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9890000224113464,"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/T12676","display_name":"Machine Learning and ELM","score":0.9843999743461609,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/underwater","display_name":"Underwater","score":0.8165225982666016},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7801740169525146},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6544278860092163},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5986030101776123},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.5883399844169617},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5190918445587158},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.511200487613678},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.47460049390792847},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4512448012828827},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.42446744441986084},{"id":"https://openalex.org/keywords/information-fusion","display_name":"Information fusion","score":0.42349573969841003},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3330082297325134},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.07688409090042114}],"concepts":[{"id":"https://openalex.org/C98083399","wikidata":"https://www.wikidata.org/wiki/Q3246517","display_name":"Underwater","level":2,"score":0.8165225982666016},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7801740169525146},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6544278860092163},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5986030101776123},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.5883399844169617},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5190918445587158},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.511200487613678},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.47460049390792847},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4512448012828827},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.42446744441986084},{"id":"https://openalex.org/C2982962833","wikidata":"https://www.wikidata.org/wiki/Q17092450","display_name":"Information fusion","level":2,"score":0.42349573969841003},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3330082297325134},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07688409090042114},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"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:10.1109/icarm49381.2020.9195292","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icarm49381.2020.9195292","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 5th International Conference on Advanced Robotics and Mechatronics (ICARM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W247715996","https://openalex.org/W304676660","https://openalex.org/W1580629795","https://openalex.org/W2047631354","https://openalex.org/W2071309849","https://openalex.org/W2096943734","https://openalex.org/W2102605133","https://openalex.org/W2115403315","https://openalex.org/W2124961556","https://openalex.org/W2163352848","https://openalex.org/W2164943005","https://openalex.org/W2193145675","https://openalex.org/W2323349824","https://openalex.org/W2570343428","https://openalex.org/W2791418594","https://openalex.org/W2792635206","https://openalex.org/W2895826831","https://openalex.org/W2950096400","https://openalex.org/W2963037989","https://openalex.org/W2963693396","https://openalex.org/W2981958729","https://openalex.org/W2985083673","https://openalex.org/W3106250896","https://openalex.org/W6610754620"],"related_works":["https://openalex.org/W4388412763","https://openalex.org/W1999583034","https://openalex.org/W3217214504","https://openalex.org/W3168963531","https://openalex.org/W2591930867","https://openalex.org/W2953138830","https://openalex.org/W2773822314","https://openalex.org/W3176162126","https://openalex.org/W2891537746","https://openalex.org/W3201231642"],"abstract_inverted_index":{"The":[0],"complex":[1],"underwater":[2,27,86],"environment":[3],"leads":[4],"to":[5,81],"a":[6,12,63],"small":[7],"number":[8],"of":[9,15,70,85,107,114],"samples":[10],"and":[11,58,110],"serious":[13],"lack":[14],"target":[16,28,59,65,77],"information.":[17,53],"To":[18],"solve":[19],"the":[20,40,43,48,55,68,82,92,105,112,121,126],"above":[21],"problems,":[22],"this":[23,89],"paper":[24],"proposes":[25],"an":[26],"detection":[29,72],"method":[30,41,90,103],"based":[31],"on":[32],"third":[33],"party":[34],"information":[35,57,60],"transfer":[36],"learning":[37],"(TITL).":[38],"Firstly,":[39],"obtains":[42],"targets":[44],"feature":[45,93,108],"description":[46],"from":[47],"knowledge":[49],"base":[50],"as":[51],"third-party":[52,56],"Using":[54],"fusion,":[61],"constitute":[62],"new":[64],"domain.":[66],"Solved":[67],"problem":[69],"low":[71],"accuracy":[73,113],"caused":[74],"by":[75],"insufficient":[76],"data.":[78],"Secondly,":[79],"according":[80],"uneven":[83],"distribution":[84,94],"image":[87],"features,":[88],"introduces":[91],"difference":[95],"adaptive":[96],"principle":[97],"into":[98],"integrated":[99],"migration":[100,115],"learning.":[101,116],"This":[102],"reduces":[104],"time":[106],"mapping":[109],"ensures":[111],"Experimental":[117],"results":[118],"show":[119],"that":[120],"algorithm":[122],"is":[123],"effective":[124],"in":[125],"Underwater":[127],"Target":[128],"dataset":[129],"compared":[130],"with":[131],"existing":[132],"algorithms.":[133]},"counts_by_year":[{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
