{"id":"https://openalex.org/W3090063164","doi":"https://doi.org/10.1109/ijcnn48605.2020.9207506","title":"Underwater object detection using Invert Multi-Class Adaboost with deep learning","display_name":"Underwater object detection using Invert Multi-Class Adaboost with deep learning","publication_year":2020,"publication_date":"2020-07-01","ids":{"openalex":"https://openalex.org/W3090063164","doi":"https://doi.org/10.1109/ijcnn48605.2020.9207506","mag":"3090063164"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn48605.2020.9207506","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn48605.2020.9207506","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://figshare.com/articles/conference_contribution/Underwater_object_detection_using_Invert_Multi-Class_Adaboost_with_deep_learning/12151944","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100336360","display_name":"Long Chen","orcid":"https://orcid.org/0000-0001-6148-9709"},"institutions":[{"id":"https://openalex.org/I153648349","display_name":"University of Leicester","ror":"https://ror.org/04h699437","country_code":"GB","type":"education","lineage":["https://openalex.org/I153648349"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Long Chen","raw_affiliation_strings":["School of Informatics, University of Leicester, Leicester, United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Informatics, University of Leicester, Leicester, United Kingdom","institution_ids":["https://openalex.org/I153648349"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100406764","display_name":"Zhihua Liu","orcid":"https://orcid.org/0000-0001-8272-8238"},"institutions":[{"id":"https://openalex.org/I153648349","display_name":"University of Leicester","ror":"https://ror.org/04h699437","country_code":"GB","type":"education","lineage":["https://openalex.org/I153648349"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Zhihua Liu","raw_affiliation_strings":["School of Informatics, University of Leicester, Leicester, United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Informatics, University of Leicester, Leicester, United Kingdom","institution_ids":["https://openalex.org/I153648349"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024367126","display_name":"Lei Tong","orcid":"https://orcid.org/0000-0002-8564-7502"},"institutions":[{"id":"https://openalex.org/I153648349","display_name":"University of Leicester","ror":"https://ror.org/04h699437","country_code":"GB","type":"education","lineage":["https://openalex.org/I153648349"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Lei Tong","raw_affiliation_strings":["School of Informatics, University of Leicester, Leicester, United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Informatics, University of Leicester, Leicester, United Kingdom","institution_ids":["https://openalex.org/I153648349"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009437198","display_name":"Zheheng Jiang","orcid":"https://orcid.org/0000-0003-1401-7615"},"institutions":[{"id":"https://openalex.org/I153648349","display_name":"University of Leicester","ror":"https://ror.org/04h699437","country_code":"GB","type":"education","lineage":["https://openalex.org/I153648349"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Zheheng Jiang","raw_affiliation_strings":["School of Informatics, University of Leicester, Leicester, United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Informatics, University of Leicester, Leicester, United Kingdom","institution_ids":["https://openalex.org/I153648349"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017601344","display_name":"Shengke Wang","orcid":"https://orcid.org/0000-0002-4906-8773"},"institutions":[{"id":"https://openalex.org/I59028903","display_name":"Ocean University of China","ror":"https://ror.org/04rdtx186","country_code":"CN","type":"education","lineage":["https://openalex.org/I59028903"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shengke Wang","raw_affiliation_strings":["Department of Computer Science, Ocean University of China, Qingdao, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Ocean University of China, Qingdao, China","institution_ids":["https://openalex.org/I59028903"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029633264","display_name":"Junyu Dong","orcid":"https://orcid.org/0000-0001-7012-2087"},"institutions":[{"id":"https://openalex.org/I59028903","display_name":"Ocean University of China","ror":"https://ror.org/04rdtx186","country_code":"CN","type":"education","lineage":["https://openalex.org/I59028903"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junyu Dong","raw_affiliation_strings":["Department of Computer Science, Ocean University of China, Qingdao, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Ocean University of China, Qingdao, China","institution_ids":["https://openalex.org/I59028903"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5066119228","display_name":"Huiyu Zhou","orcid":"https://orcid.org/0000-0003-1634-9840"},"institutions":[{"id":"https://openalex.org/I153648349","display_name":"University of Leicester","ror":"https://ror.org/04h699437","country_code":"GB","type":"education","lineage":["https://openalex.org/I153648349"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Huiyu Zhou","raw_affiliation_strings":["School of Informatics, University of Leicester, Leicester, United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Informatics, University of Leicester, Leicester, United Kingdom","institution_ids":["https://openalex.org/I153648349"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":120,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9988999962806702,"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":0.9988999962806702,"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":0.996999979019165,"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":0.9961000084877014,"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":0.7836036682128906},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.768481969833374},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.7663347721099854},{"id":"https://openalex.org/keywords/weighting","display_name":"Weighting","score":0.5924423336982727},{"id":"https://openalex.org/keywords/viola\u2013jones-object-detection-framework","display_name":"Viola\u2013Jones object detection framework","score":0.5769858956336975},{"id":"https://openalex.org/keywords/adaboost","display_name":"AdaBoost","score":0.5736620426177979},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5654993057250977},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.5569491386413574},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5345930457115173},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4899289011955261},{"id":"https://openalex.org/keywords/underwater","display_name":"Underwater","score":0.47809430956840515},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.47449609637260437},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.47431302070617676},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.43676117062568665},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.4364728629589081},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4336371421813965},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.43156737089157104},{"id":"https://openalex.org/keywords/initialization","display_name":"Initialization","score":0.4249509572982788},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.20953083038330078},{"id":"https://openalex.org/keywords/face-detection","display_name":"Face detection","score":0.07990381121635437},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.07354331016540527}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7836036682128906},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.768481969833374},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.7663347721099854},{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.5924423336982727},{"id":"https://openalex.org/C182521987","wikidata":"https://www.wikidata.org/wiki/Q2493877","display_name":"Viola\u2013Jones object detection framework","level":5,"score":0.5769858956336975},{"id":"https://openalex.org/C141404830","wikidata":"https://www.wikidata.org/wiki/Q2823869","display_name":"AdaBoost","level":3,"score":0.5736620426177979},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5654993057250977},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.5569491386413574},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5345930457115173},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4899289011955261},{"id":"https://openalex.org/C98083399","wikidata":"https://www.wikidata.org/wiki/Q3246517","display_name":"Underwater","level":2,"score":0.47809430956840515},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.47449609637260437},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.47431302070617676},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.43676117062568665},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.4364728629589081},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4336371421813965},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.43156737089157104},{"id":"https://openalex.org/C114466953","wikidata":"https://www.wikidata.org/wiki/Q6034165","display_name":"Initialization","level":2,"score":0.4249509572982788},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.20953083038330078},{"id":"https://openalex.org/C4641261","wikidata":"https://www.wikidata.org/wiki/Q11681085","display_name":"Face detection","level":4,"score":0.07990381121635437},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.07354331016540527},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","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/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"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":2,"locations":[{"id":"doi:10.1109/ijcnn48605.2020.9207506","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn48605.2020.9207506","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},{"id":"pmh:oai:figshare.com:article/12151944","is_oa":true,"landing_page_url":"https://figshare.com/articles/conference_contribution/Underwater_object_detection_using_Invert_Multi-Class_Adaboost_with_deep_learning/12151944","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"<dc:type>Conference contribution"}],"best_oa_location":{"id":"pmh:oai:figshare.com:article/12151944","is_oa":true,"landing_page_url":"https://figshare.com/articles/conference_contribution/Underwater_object_detection_using_Invert_Multi-Class_Adaboost_with_deep_learning/12151944","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"<dc:type>Conference contribution"},"sustainable_development_goals":[{"display_name":"Life below water","id":"https://metadata.un.org/sdg/14","score":0.8199999928474426}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":57,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1536214225","https://openalex.org/W1536680647","https://openalex.org/W1686810756","https://openalex.org/W1832500336","https://openalex.org/W1923697677","https://openalex.org/W1968969471","https://openalex.org/W1989684337","https://openalex.org/W1996253987","https://openalex.org/W2121056381","https://openalex.org/W2124577949","https://openalex.org/W2132984949","https://openalex.org/W2144506857","https://openalex.org/W2169419755","https://openalex.org/W2194775991","https://openalex.org/W2287418003","https://openalex.org/W2288990755","https://openalex.org/W2293210054","https://openalex.org/W2296073425","https://openalex.org/W2423811253","https://openalex.org/W2525286916","https://openalex.org/W2579985080","https://openalex.org/W2618574054","https://openalex.org/W2752646460","https://openalex.org/W2789804996","https://openalex.org/W2794819775","https://openalex.org/W2795282075","https://openalex.org/W2796347433","https://openalex.org/W2798898057","https://openalex.org/W2947715232","https://openalex.org/W2962762541","https://openalex.org/W2962835968","https://openalex.org/W2962850830","https://openalex.org/W2963351448","https://openalex.org/W2963371670","https://openalex.org/W2964217490","https://openalex.org/W3106250896","https://openalex.org/W4293584584","https://openalex.org/W6620707391","https://openalex.org/W6631782140","https://openalex.org/W6632098450","https://openalex.org/W6637373629","https://openalex.org/W6640295612","https://openalex.org/W6647691147","https://openalex.org/W6678280073","https://openalex.org/W6679390333","https://openalex.org/W6684922962","https://openalex.org/W6696078910","https://openalex.org/W6696355519","https://openalex.org/W6696993328","https://openalex.org/W6732243160","https://openalex.org/W6737985840","https://openalex.org/W6749446043","https://openalex.org/W6750227808","https://openalex.org/W6750523955","https://openalex.org/W6763362982","https://openalex.org/W6785652829"],"related_works":["https://openalex.org/W1560709653","https://openalex.org/W3160582076","https://openalex.org/W3204852000","https://openalex.org/W2366871377","https://openalex.org/W2096042813","https://openalex.org/W2965402078","https://openalex.org/W2963251476","https://openalex.org/W2968205768","https://openalex.org/W2001787928","https://openalex.org/W2392583168"],"abstract_inverted_index":{"In":[0,96],"recent":[1],"years,":[2],"deep":[3],"learning":[4],"based":[5],"methods":[6,17],"have":[7],"achieved":[8],"promising":[9],"performance":[10,153],"in":[11,32,46,154],"standard":[12],"object":[13,24,76,93,160],"detection.":[14,77],"However,":[15],"these":[16,28,58],"lack":[18],"sufficient":[19],"capabilities":[20],"to":[21,27,124],"handle":[22],"underwater":[23,48,137],"detection":[25,94,155,161],"due":[26],"challenges:":[29],"(1)":[30],"Objects":[31],"real":[33,51],"applications":[34,52],"are":[35,41],"usually":[36],"small":[37,75,92],"and":[38,43,50,83,143],"their":[39],"images":[40,45],"blurry,":[42],"(2)":[44],"the":[47,126,131,147],"datasets":[49,141],"accompany":[53],"heterogeneous":[54],"noise.":[55],"To":[56],"address":[57],"two":[59,136],"problems,":[60],"we":[61,98],"first":[62],"propose":[63,99],"a":[64,100,114],"novel":[65,101,115],"neural":[66],"network":[67],"architecture,":[68],"namely":[69,119],"Sample-WeIghted":[70],"hyPEr":[71],"Network":[72],"(SWIPENet),":[73],"for":[74,110],"SWIPENet":[78],"consists":[79],"of":[80,128],"high":[81],"resolution":[82],"semantic-rich":[84],"Hyper":[85],"Feature":[86],"Maps":[87],"which":[88,105,112],"can":[89,106],"significantly":[90],"improve":[91],"accuracy.":[95],"addition,":[97],"sample-weighted":[102],"loss":[103],"function":[104],"model":[107],"sample":[108,116],"weights":[109],"SWIPENet,":[111],"uses":[113],"re-weighting":[117],"algorithm,":[118],"Invert":[120],"Multi-Class":[121],"Adaboost":[122],"(IMA),":[123],"reduce":[125],"influence":[127],"noise":[129],"on":[130,135],"proposed":[132,148],"SWIPENet.":[133],"Experiments":[134],"robot":[138],"picking":[139],"contest":[140],"URPC2017":[142],"URPC2018":[144],"show":[145],"that":[146],"SWIPENet+IMA":[149],"framework":[150],"achieves":[151],"better":[152],"accuracy":[156],"against":[157],"several":[158],"state-of-the-art":[159],"approaches.":[162]},"counts_by_year":[{"year":2026,"cited_by_count":7},{"year":2025,"cited_by_count":23},{"year":2024,"cited_by_count":40},{"year":2023,"cited_by_count":22},{"year":2022,"cited_by_count":24},{"year":2021,"cited_by_count":4}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}