{"id":"https://openalex.org/W4395114302","doi":"https://doi.org/10.3390/sym16050514","title":"YOLOv7-SN: Underwater Target Detection Algorithm Based on Improved YOLOv7","display_name":"YOLOv7-SN: Underwater Target Detection Algorithm Based on Improved YOLOv7","publication_year":2024,"publication_date":"2024-04-24","ids":{"openalex":"https://openalex.org/W4395114302","doi":"https://doi.org/10.3390/sym16050514"},"language":"en","primary_location":{"id":"doi:10.3390/sym16050514","is_oa":true,"landing_page_url":"https://doi.org/10.3390/sym16050514","pdf_url":"https://www.mdpi.com/2073-8994/16/5/514/pdf?version=1713954189","source":{"id":"https://openalex.org/S190787756","display_name":"Symmetry","issn_l":"2073-8994","issn":["2073-8994"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Symmetry","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2073-8994/16/5/514/pdf?version=1713954189","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101521257","display_name":"Ming Zhao","orcid":"https://orcid.org/0000-0002-1310-6766"},"institutions":[{"id":"https://openalex.org/I134052481","display_name":"Harbin Normal University","ror":"https://ror.org/0270y6950","country_code":"CN","type":"education","lineage":["https://openalex.org/I134052481"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ming Zhao","raw_affiliation_strings":["School of Mathematical Sciences, Harbin Normal University, Harbin 150500, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mathematical Sciences, Harbin Normal University, Harbin 150500, China","institution_ids":["https://openalex.org/I134052481"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101900986","display_name":"Huibo Zhou","orcid":"https://orcid.org/0000-0002-5113-9809"},"institutions":[{"id":"https://openalex.org/I134052481","display_name":"Harbin Normal University","ror":"https://ror.org/0270y6950","country_code":"CN","type":"education","lineage":["https://openalex.org/I134052481"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Huibo Zhou","raw_affiliation_strings":["School of Mathematical Sciences, Harbin Normal University, Harbin 150500, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mathematical Sciences, Harbin Normal University, Harbin 150500, China","institution_ids":["https://openalex.org/I134052481"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101456463","display_name":"Xue Li","orcid":"https://orcid.org/0000-0003-0342-8013"},"institutions":[{"id":"https://openalex.org/I134052481","display_name":"Harbin Normal University","ror":"https://ror.org/0270y6950","country_code":"CN","type":"education","lineage":["https://openalex.org/I134052481"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xue Li","raw_affiliation_strings":["School of Mathematical Sciences, Harbin Normal University, Harbin 150500, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mathematical Sciences, Harbin Normal University, Harbin 150500, China","institution_ids":["https://openalex.org/I134052481"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5101900986"],"corresponding_institution_ids":["https://openalex.org/I134052481"],"apc_list":{"value":2000,"currency":"CHF","value_usd":2227},"apc_paid":{"value":2000,"currency":"CHF","value_usd":2227},"fwci":1.4804,"has_fulltext":true,"cited_by_count":9,"citation_normalized_percentile":{"value":0.81821749,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":"16","issue":"5","first_page":"514","last_page":"514"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.995199978351593,"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"}},"topics":[{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.995199978351593,"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/T11192","display_name":"Underwater Vehicles and Communication Systems","score":0.9821000099182129,"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/T12697","display_name":"Water Quality Monitoring Technologies","score":0.9778000116348267,"subfield":{"id":"https://openalex.org/subfields/2312","display_name":"Water Science and Technology"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/underwater","display_name":"Underwater","score":0.6977865099906921},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5486853122711182},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.47950655221939087},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3798424005508423},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3353336453437805},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.19684624671936035},{"id":"https://openalex.org/keywords/oceanography","display_name":"Oceanography","score":0.10619905591011047}],"concepts":[{"id":"https://openalex.org/C98083399","wikidata":"https://www.wikidata.org/wiki/Q3246517","display_name":"Underwater","level":2,"score":0.6977865099906921},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5486853122711182},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.47950655221939087},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3798424005508423},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3353336453437805},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.19684624671936035},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.10619905591011047}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.3390/sym16050514","is_oa":true,"landing_page_url":"https://doi.org/10.3390/sym16050514","pdf_url":"https://www.mdpi.com/2073-8994/16/5/514/pdf?version=1713954189","source":{"id":"https://openalex.org/S190787756","display_name":"Symmetry","issn_l":"2073-8994","issn":["2073-8994"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Symmetry","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:4ddfa7a0dd394f158f7269cb6a340507","is_oa":false,"landing_page_url":"https://doaj.org/article/4ddfa7a0dd394f158f7269cb6a340507","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Symmetry, Vol 16, Iss 5, p 514 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/sym16050514","is_oa":true,"landing_page_url":"https://doi.org/10.3390/sym16050514","pdf_url":"https://www.mdpi.com/2073-8994/16/5/514/pdf?version=1713954189","source":{"id":"https://openalex.org/S190787756","display_name":"Symmetry","issn_l":"2073-8994","issn":["2073-8994"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Symmetry","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Life below water","id":"https://metadata.un.org/sdg/14","score":0.8299999833106995}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4395114302.pdf","grobid_xml":"https://content.openalex.org/works/W4395114302.grobid-xml"},"referenced_works_count":32,"referenced_works":["https://openalex.org/W1514535095","https://openalex.org/W1536680647","https://openalex.org/W2193145675","https://openalex.org/W2288990755","https://openalex.org/W2570343428","https://openalex.org/W2884585870","https://openalex.org/W2922509574","https://openalex.org/W2937675449","https://openalex.org/W2955058313","https://openalex.org/W2962766617","https://openalex.org/W2963037989","https://openalex.org/W2963047670","https://openalex.org/W2963351448","https://openalex.org/W2981413347","https://openalex.org/W2997747012","https://openalex.org/W2997763120","https://openalex.org/W3005573772","https://openalex.org/W3090063164","https://openalex.org/W3106250896","https://openalex.org/W3113162495","https://openalex.org/W3119205652","https://openalex.org/W3122173535","https://openalex.org/W3134603995","https://openalex.org/W3174068320","https://openalex.org/W3210586215","https://openalex.org/W4214526461","https://openalex.org/W4283162900","https://openalex.org/W4312423415","https://openalex.org/W4360616702","https://openalex.org/W4386076325","https://openalex.org/W6682137061","https://openalex.org/W6683411478"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2051487156","https://openalex.org/W2073681303","https://openalex.org/W4388412763","https://openalex.org/W1999583034","https://openalex.org/W2390279801","https://openalex.org/W3217214504","https://openalex.org/W2033914206","https://openalex.org/W2042327336"],"abstract_inverted_index":{"Exploring":[0],"the":[1,24,36,46,62,68,74,85,92,102,111,117,134,142,155,166,175,188],"ocean\u2019s":[2],"resources":[3],"requires":[4],"finding":[5],"underwater":[6,27,51,80,145,160],"objects,":[7],"which":[8],"is":[9,43,179],"a":[10,56,106],"challenging":[11],"task":[12],"due":[13],"to":[14,44,72,95,109,131,140,152,187],"blurry":[15],"images":[16],"and":[17,48,115,148,157,168,183],"small,":[18],"densely":[19],"packed":[20],"targets.":[21,81],"To":[22],"improve":[23,73,149],"accuracy":[25,49,177],"of":[26,35,50,58,76,119,144,159],"target":[28,52,121,146],"detection,":[29],"we":[30,100,124],"propose":[31],"an":[32],"enhanced":[33],"version":[34],"YOLOv7":[37],"network":[38,94],"called":[39],"YOLOv7-SN.":[40],"Our":[41],"goal":[42],"optimize":[45,141],"effectiveness":[47],"detection":[53,147],"by":[54,181],"introducing":[55],"series":[57],"innovations.":[59],"We":[60,82,162],"incorporate":[61],"channel":[63],"attention":[64],"module":[65,87],"SE":[66],"into":[67],"network\u2019s":[69],"key":[70],"part":[71],"extraction":[75],"relevant":[77],"features":[78],"for":[79],"also":[83],"introduce":[84],"RFE":[86],"with":[88,154],"dilated":[89],"convolution":[90],"behind":[91],"backbone":[93],"capture":[96],"multi-scale":[97],"information.":[98],"Additionally,":[99],"use":[101],"Wasserstein":[103],"distance":[104],"as":[105],"new":[107],"metric":[108],"replace":[110],"traditional":[112],"loss":[113],"function":[114],"address":[116],"challenge":[118],"small":[120],"detection.":[122],"Finally,":[123],"employ":[125],"probe":[126],"heads":[127],"carrying":[128],"implicit":[129],"knowledge":[130],"further":[132],"enhance":[133],"model\u2019s":[135],"accuracy.":[136],"These":[137],"methods":[138],"aim":[139],"efficacy":[143],"its":[150],"ability":[151],"deal":[153],"complexity":[156],"challenges":[158],"environments.":[161],"conducted":[163],"experiments":[164],"on":[165],"URPC2020,":[167],"RUIE":[169],"datasets.":[170],"The":[171],"results":[172],"show":[173],"that":[174],"mean":[176],"(mAP)":[178],"improved":[180],"5.9%":[182],"3.9%,":[184],"respectively,":[185],"compared":[186],"baseline":[189],"model.":[190]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":2}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}
