{"id":"https://openalex.org/W4399120384","doi":"https://doi.org/10.1145/3654823.3654860","title":"Underwater Treasure Object Detection Algorithm Based on Improved YOLOv8","display_name":"Underwater Treasure Object Detection Algorithm Based on Improved YOLOv8","publication_year":2024,"publication_date":"2024-03-22","ids":{"openalex":"https://openalex.org/W4399120384","doi":"https://doi.org/10.1145/3654823.3654860"},"language":"en","primary_location":{"id":"doi:10.1145/3654823.3654860","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3654823.3654860","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 3rd Asia Conference on Algorithms, Computing and Machine Learning","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/A5098923062","display_name":"Yu","orcid":null},"institutions":[{"id":"https://openalex.org/I88372448","display_name":"Dalian Polytechnic University","ror":"https://ror.org/00c7x4a95","country_code":"CN","type":"education","lineage":["https://openalex.org/I88372448"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yu","raw_affiliation_strings":["Dalian Polytechnic University, China"],"raw_orcid":"https://orcid.org/0009-0002-5547-525X","affiliations":[{"raw_affiliation_string":"Dalian Polytechnic University, China","institution_ids":["https://openalex.org/I88372448"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103029061","display_name":"Zhuo","orcid":null},"institutions":[{"id":"https://openalex.org/I88372448","display_name":"Dalian Polytechnic University","ror":"https://ror.org/00c7x4a95","country_code":"CN","type":"education","lineage":["https://openalex.org/I88372448"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhuo","raw_affiliation_strings":["Dalian Polytechnic University, China"],"raw_orcid":"https://orcid.org/0009-0009-5121-896X","affiliations":[{"raw_affiliation_string":"Dalian Polytechnic University, China","institution_ids":["https://openalex.org/I88372448"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5098923062"],"corresponding_institution_ids":["https://openalex.org/I88372448"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.06282959,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"202","last_page":"206"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9962000250816345,"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":0.9962000250816345,"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/T11019","display_name":"Image Enhancement Techniques","score":0.9641000032424927,"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/T12389","display_name":"Infrared Target Detection Methodologies","score":0.9631999731063843,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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":0.7682745456695557},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6920939087867737},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6605556607246399},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.5922767519950867},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.49215906858444214},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.4721814692020416},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.46230995655059814},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.4480142295360565},{"id":"https://openalex.org/keywords/treasure","display_name":"Treasure","score":0.4359052777290344},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.37958815693855286},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3291202485561371},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.17862513661384583},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.17147919535636902}],"concepts":[{"id":"https://openalex.org/C98083399","wikidata":"https://www.wikidata.org/wiki/Q3246517","display_name":"Underwater","level":2,"score":0.7682745456695557},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6920939087867737},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6605556607246399},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.5922767519950867},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49215906858444214},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.4721814692020416},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.46230995655059814},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.4480142295360565},{"id":"https://openalex.org/C2776084483","wikidata":"https://www.wikidata.org/wiki/Q272937","display_name":"Treasure","level":2,"score":0.4359052777290344},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.37958815693855286},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3291202485561371},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.17862513661384583},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17147919535636902},{"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},{"id":"https://openalex.org/C27206212","wikidata":"https://www.wikidata.org/wiki/Q34178","display_name":"Theology","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3654823.3654860","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3654823.3654860","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 3rd Asia Conference on Algorithms, Computing and Machine Learning","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/14","score":0.41999998688697815,"display_name":"Life below water"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":4,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W3012991496","https://openalex.org/W4226089519","https://openalex.org/W4226334005"],"related_works":["https://openalex.org/W2492411721","https://openalex.org/W2223042459","https://openalex.org/W369913426","https://openalex.org/W2360017572","https://openalex.org/W4248194279","https://openalex.org/W1984795823","https://openalex.org/W1504426902","https://openalex.org/W2476851620","https://openalex.org/W4285698275","https://openalex.org/W4315498985"],"abstract_inverted_index":{"For":[0],"the":[1,18,55,61,67,72,83,87,91,111,116,131,143,151,156,170,176,180],"target":[2,22],"detection":[3,32,42,117,167,186],"algorithm":[4,43,136,153,178],"of":[5,21,44,60,66,75,134],"undersea":[6],"treasure":[7,46,69],"graphics":[8],"(including":[9],"underwater":[10,45,68,124],"sea":[11,13],"cucumber,":[12],"urchin":[14],"and":[15,34,63,89,98,161,185],"scallop).":[16],"In":[17],"current":[19],"field":[20],"detection,":[23],"some":[24],"problems":[25],"such":[26],"as":[27],"high":[28,166],"model":[29,88,137,157,183],"complexity,":[30],"low":[31],"efficiency":[33],"weak":[35],"generalization":[36],"ability,":[37],"so":[38],"a":[39],"new":[40],"object":[41],"images":[47],"based":[48],"on":[49,122],"improved":[50],"YOLOv8":[51,76,135],"is":[52,108,138],"proposed.":[53],"On":[54],"one":[56],"hand,":[57],"in":[58,86,96],"view":[59],"fuzzy":[62],"small":[64],"size":[65],"image":[70],"target,":[71],"attention":[73],"mechanism":[74],"can":[77,173],"be":[78],"lightweight":[79],"to":[80,101,114,140,147],"cut":[81],"down":[82],"calculation":[84,162],"amount":[85,163],"increase":[90],"efficiency.":[92],"SDP-Conv":[93],"was":[94],"lead":[95],"backbone":[97,112],"neck":[99],"network":[100,113],"enhance":[102],"feature":[103],"extraction":[104],"capability.":[105],"Deformable":[106],"convolution":[107],"introduced":[109],"into":[110],"boost":[115],"precision.":[118],"The":[119],"experimental":[120],"results":[121,171],"Zhanjiang":[123],"robot":[125],"competition":[126],"data":[127],"set":[128],"show":[129],"that":[130,175],"highest":[132],"accuracy":[133],"grew":[139],"98.9%":[141],"by":[142],"optimization":[144],"algorithm.":[145],"Compared":[146],"other":[148],"basic":[149],"algorithms,":[150],"proposed":[152,177],"greatly":[154],"reduces":[155],"volume,":[158],"parameter":[159],"number":[160],"while":[164],"ensuring":[165],"accuracy.":[168,187],"From":[169],"we":[172],"see":[174],"achieves":[179],"balance":[181],"between":[182],"complexity":[184]},"counts_by_year":[],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}