{"id":"https://openalex.org/W4366381079","doi":"https://doi.org/10.1145/3584376.3584523","title":"Research on underwater biological detection method based on multi-scale fusion and attention mechanism","display_name":"Research on underwater biological detection method based on multi-scale fusion and attention mechanism","publication_year":2022,"publication_date":"2022-12-16","ids":{"openalex":"https://openalex.org/W4366381079","doi":"https://doi.org/10.1145/3584376.3584523"},"language":"en","primary_location":{"id":"doi:10.1145/3584376.3584523","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1145/3584376.3584523","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2022 4th International Conference on Robotics, Intelligent Control and Artificial Intelligence","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/A5071504097","display_name":"Longyu Tang","orcid":"https://orcid.org/0000-0003-3954-1181"},"institutions":[{"id":"https://openalex.org/I126924076","display_name":"Chongqing Normal University","ror":"https://ror.org/01dcw5w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I126924076"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Longyu Tang","raw_affiliation_strings":["College of Computer and Information Science, Chongqing Normal University, China"],"affiliations":[{"raw_affiliation_string":"College of Computer and Information Science, Chongqing Normal University, China","institution_ids":["https://openalex.org/I126924076"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043745938","display_name":"Yunong Yang","orcid":"https://orcid.org/0000-0001-6597-2968"},"institutions":[{"id":"https://openalex.org/I126924076","display_name":"Chongqing Normal University","ror":"https://ror.org/01dcw5w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I126924076"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yunong Yang","raw_affiliation_strings":["Digital Education Engineering Center for Technology and Applied Research, Chongqing Normal University, China"],"affiliations":[{"raw_affiliation_string":"Digital Education Engineering Center for Technology and Applied Research, Chongqing Normal University, China","institution_ids":["https://openalex.org/I126924076"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5037543250","display_name":"Hong Wang","orcid":"https://orcid.org/0000-0002-1476-3709"},"institutions":[{"id":"https://openalex.org/I126924076","display_name":"Chongqing Normal University","ror":"https://ror.org/01dcw5w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I126924076"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hong Wang","raw_affiliation_strings":["Modern Education Operation Section, Chongqing Normal University, China"],"affiliations":[{"raw_affiliation_string":"Modern Education Operation Section, Chongqing Normal University, China","institution_ids":["https://openalex.org/I126924076"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5071504097"],"corresponding_institution_ids":["https://openalex.org/I126924076"],"apc_list":null,"apc_paid":null,"fwci":0.1006,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.42595975,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"35","issue":null,"first_page":"821","last_page":"826"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9886999726295471,"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":0.9886999726295471,"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/T12697","display_name":"Water Quality Monitoring Technologies","score":0.9790999889373779,"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"}},{"id":"https://openalex.org/T11192","display_name":"Underwater Vehicles and Communication Systems","score":0.9596999883651733,"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/underwater","display_name":"Underwater","score":0.9187039136886597},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7467352151870728},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5837283134460449},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5786535143852234},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.48314374685287476},{"id":"https://openalex.org/keywords/pyramid","display_name":"Pyramid (geometry)","score":0.4557703137397766},{"id":"https://openalex.org/keywords/mechanism","display_name":"Mechanism (biology)","score":0.4554760456085205},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.4441232681274414},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.41722697019577026},{"id":"https://openalex.org/keywords/fusion-mechanism","display_name":"Fusion mechanism","score":0.4126321077346802},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.37153759598731995},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.185176819562912},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08379986882209778},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.07589003443717957}],"concepts":[{"id":"https://openalex.org/C98083399","wikidata":"https://www.wikidata.org/wiki/Q3246517","display_name":"Underwater","level":2,"score":0.9187039136886597},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7467352151870728},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5837283134460449},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5786535143852234},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.48314374685287476},{"id":"https://openalex.org/C142575187","wikidata":"https://www.wikidata.org/wiki/Q3358290","display_name":"Pyramid (geometry)","level":2,"score":0.4557703137397766},{"id":"https://openalex.org/C89611455","wikidata":"https://www.wikidata.org/wiki/Q6804646","display_name":"Mechanism (biology)","level":2,"score":0.4554760456085205},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.4441232681274414},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.41722697019577026},{"id":"https://openalex.org/C173414695","wikidata":"https://www.wikidata.org/wiki/Q5510276","display_name":"Fusion mechanism","level":4,"score":0.4126321077346802},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.37153759598731995},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.185176819562912},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08379986882209778},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.07589003443717957},{"id":"https://openalex.org/C103038307","wikidata":"https://www.wikidata.org/wiki/Q6556360","display_name":"Lipid bilayer fusion","level":3,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","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:10.1145/3584376.3584523","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1145/3584376.3584523","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2022 4th International Conference on Robotics, Intelligent Control and Artificial Intelligence","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Life below water","score":0.8600000143051147,"id":"https://metadata.un.org/sdg/14"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":3,"referenced_works":["https://openalex.org/W2752782242","https://openalex.org/W3106717751","https://openalex.org/W6600194071"],"related_works":["https://openalex.org/W4388412763","https://openalex.org/W2591930867","https://openalex.org/W1999583034","https://openalex.org/W2891537746","https://openalex.org/W3168963531","https://openalex.org/W2773822314","https://openalex.org/W4206776094","https://openalex.org/W3121197456","https://openalex.org/W4313888283","https://openalex.org/W4313887926"],"abstract_inverted_index":{"Underwater":[0],"robots":[1],"are":[2],"an":[3,47,153,165],"important":[4],"tool":[5],"for":[6,18],"exploiting":[7],"marine":[8,19],"resources,":[9],"while":[10],"underwater":[11,22,42,48,116,132,146,150],"target":[12,84,117],"detection":[13,50,130],"is":[14,31,65,75,98,159,171],"a":[15,62,68,91],"key":[16],"technology":[17],"fishing":[20],"by":[21],"robots.":[23],"For":[24],"the":[25,28,41,54,78,101,105,112,115,126,139],"problem":[26],"that":[27,82,118,138],"traditional":[29],"algorithm":[30,51,141],"difficult":[32],"to":[33,110,120],"detect":[34,144],"small":[35],"targets":[36,147],"and":[37,58,67,93,104,128,164],"multiple":[38],"scales":[39],"in":[40,108,148],"environment,":[43],"this":[44],"paper":[45],"proposes":[46],"biological":[49],"based":[52],"on":[53],"multi-scale":[55,145],"feature":[56,72],"fusion":[57],"attention":[59,96],"mechanism.":[60],"First,":[61],"YOLOv5":[63],"network":[64,80,103,107],"constructed,":[66],"bi-directionally":[69],"weighted":[70],"BiFPN":[71],"pyramid":[73],"structure":[74],"fed":[76],"into":[77],"neck":[79,102],"so":[81],"multiscale":[83],"features":[85],"can":[86,142],"be":[87,121],"efficiently":[88],"merged.":[89],"Second,":[90],"channel":[92],"spatial":[94],"convolutional":[95],"mechanism":[97],"introduced":[99],"between":[100],"prediction":[106],"order":[109],"increase":[111],"saliency":[113],"of":[114,131,156,168],"needs":[119],"detected,":[122],"which":[123,158,170],"effectively":[124],"reduces":[125],"missed":[127],"erroneous":[129],"targets.":[133],"The":[134],"experimental":[135],"results":[136],"show":[137],"proposed":[140],"accurately":[143],"complex":[149],"environments":[151],"with":[152],"average":[154,166],"accuracy":[155],"80.18%,":[157],"2.87%":[160],"better":[161,173],"than":[162,174],"YOLOv5,":[163],"recall":[167],"85.06%,":[169],"4.81%":[172],"YOLOv5.":[175]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2025-12-24T23:09:58.560324","created_date":"2025-10-10T00:00:00"}