{"id":"https://openalex.org/W4385284768","doi":"https://doi.org/10.1109/uv56588.2022.10185531","title":"Microalgae Detection Based on Cascade R-CNN Object Detection Model","display_name":"Microalgae Detection Based on Cascade R-CNN Object Detection Model","publication_year":2022,"publication_date":"2022-10-22","ids":{"openalex":"https://openalex.org/W4385284768","doi":"https://doi.org/10.1109/uv56588.2022.10185531"},"language":"en","primary_location":{"id":"doi:10.1109/uv56588.2022.10185531","is_oa":false,"landing_page_url":"https://doi.org/10.1109/uv56588.2022.10185531","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 6th International Conference on Universal Village (UV)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5052567771","display_name":"Guo\u2010Yu Yang","orcid":"https://orcid.org/0000-0002-0911-2805"},"institutions":[{"id":"https://openalex.org/I55712492","display_name":"Zhejiang University of Technology","ror":"https://ror.org/02djqfd08","country_code":"CN","type":"education","lineage":["https://openalex.org/I55712492"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guoyu Yang","raw_affiliation_strings":["Zhejiang University of Technology,College of Computer Science,Hangzhou,China","College of Computer Science, Zhejiang University of Technology, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Zhejiang University of Technology,College of Computer Science,Hangzhou,China","institution_ids":["https://openalex.org/I55712492"]},{"raw_affiliation_string":"College of Computer Science, Zhejiang University of Technology, Hangzhou, China","institution_ids":["https://openalex.org/I55712492"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051607982","display_name":"Siyu Cheng","orcid":"https://orcid.org/0009-0007-3554-4365"},"institutions":[{"id":"https://openalex.org/I55712492","display_name":"Zhejiang University of Technology","ror":"https://ror.org/02djqfd08","country_code":"CN","type":"education","lineage":["https://openalex.org/I55712492"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Siyu Cheng","raw_affiliation_strings":["Zhejiang University of Technology,College of Foreign Languages,Hangzhou,China","College of Foreign Languages, Zhejiang University of Technology, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Zhejiang University of Technology,College of Foreign Languages,Hangzhou,China","institution_ids":["https://openalex.org/I55712492"]},{"raw_affiliation_string":"College of Foreign Languages, Zhejiang University of Technology, Hangzhou, China","institution_ids":["https://openalex.org/I55712492"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5007285444","display_name":"Jie Lei","orcid":"https://orcid.org/0000-0003-0851-6565"},"institutions":[{"id":"https://openalex.org/I55712492","display_name":"Zhejiang University of Technology","ror":"https://ror.org/02djqfd08","country_code":"CN","type":"education","lineage":["https://openalex.org/I55712492"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Lei","raw_affiliation_strings":["Zhejiang University of Technology,College of Computer Science,Hangzhou,China","College of Computer Science, Zhejiang University of Technology, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Zhejiang University of Technology,College of Computer Science,Hangzhou,China","institution_ids":["https://openalex.org/I55712492"]},{"raw_affiliation_string":"College of Computer Science, Zhejiang University of Technology, Hangzhou, China","institution_ids":["https://openalex.org/I55712492"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I55712492"],"apc_list":null,"apc_paid":null,"fwci":3.1099,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.92633015,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12388","display_name":"Identification and Quantification in Food","score":0.989300012588501,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T12388","display_name":"Identification and Quantification in Food","score":0.989300012588501,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.984000027179718,"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/T11667","display_name":"Advanced Chemical Sensor Technologies","score":0.9710000157356262,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/cascade","display_name":"Cascade","score":0.7387368083000183},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.7321183085441589},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7311172485351562},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6818301677703857},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.4766436517238617},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.46136561036109924},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.4384322464466095},{"id":"https://openalex.org/keywords/test-set","display_name":"Test set","score":0.4276679456233978},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.41222119331359863},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.33565831184387207},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.10238832235336304},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.0643673837184906}],"concepts":[{"id":"https://openalex.org/C34146451","wikidata":"https://www.wikidata.org/wiki/Q5048094","display_name":"Cascade","level":2,"score":0.7387368083000183},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.7321183085441589},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7311172485351562},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6818301677703857},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.4766436517238617},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.46136561036109924},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.4384322464466095},{"id":"https://openalex.org/C169903167","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Test set","level":2,"score":0.4276679456233978},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.41222119331359863},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.33565831184387207},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10238832235336304},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0643673837184906},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C42360764","wikidata":"https://www.wikidata.org/wiki/Q83588","display_name":"Chemical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/uv56588.2022.10185531","is_oa":false,"landing_page_url":"https://doi.org/10.1109/uv56588.2022.10185531","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 6th International Conference on Universal Village (UV)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/13","score":0.46000000834465027,"display_name":"Climate action"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1861492603","https://openalex.org/W2108598243","https://openalex.org/W2549139847","https://openalex.org/W2963351448","https://openalex.org/W2963516811","https://openalex.org/W2964121718","https://openalex.org/W2989676862","https://openalex.org/W3102710196","https://openalex.org/W3127743092","https://openalex.org/W3138516171","https://openalex.org/W4214507171","https://openalex.org/W4288325606","https://openalex.org/W4309137127","https://openalex.org/W4312443924","https://openalex.org/W4382568144","https://openalex.org/W6639102338","https://openalex.org/W6764322716","https://openalex.org/W6779586474","https://openalex.org/W6840971909","https://openalex.org/W6846949973"],"related_works":["https://openalex.org/W4292830139","https://openalex.org/W4319309705","https://openalex.org/W1999699871","https://openalex.org/W4225124612","https://openalex.org/W2043806667","https://openalex.org/W2021633306","https://openalex.org/W2006801911","https://openalex.org/W2033669961","https://openalex.org/W2971899271","https://openalex.org/W1972167985"],"abstract_inverted_index":{"Marine":[0],"microalgae":[1,24,39],"are":[2],"one":[3],"of":[4,15,22,29,45,136,162,170],"the":[5,16,33,56,77,89,103,111,120,134,137,142,157,168],"significant":[6],"biological":[7],"resources":[8],"in":[9,55,98],"marine":[10,23],"ecosystems":[11],"and":[12,115,128,150],"a":[13,27,43],"part":[14],"\u201cblue":[17],"carbon":[18],"sink.\u201d":[19],"Artificial":[20],"identification":[21],"usually":[25],"takes":[26],"lot":[28,44],"time,":[30],"so":[31],"using":[32],"object":[34,63,78,95],"detection":[35,64,79,96,143],"method":[36,155],"to":[37,81,119,140],"detect":[38],"automatically":[40],"can":[41],"save":[42],"artificial":[46],"resources.":[47],"The":[48,160],"official":[49],"website":[50],"provides":[51],"an":[52],"algae":[53],"dataset":[54,68],"IEEE":[57],"UV":[58],"2022":[59],"\u201cVision":[60],"Meets":[61],"Algae\u201d":[62],"challenge.":[65,100],"However,":[66],"this":[67,99],"contains":[69],"many":[70],"small":[71,106],"objects,":[72],"which":[73],"is":[74],"unfavorable":[75],"for":[76],"model":[80,97,104,171],"identify":[82],"algae.":[83],"We":[84,152],"use":[85],"Cascade":[86,147,163],"R-CNN":[87,164],"with":[88],"backbone":[90],"ConvNeXt-B":[91],"as":[92],"our":[93,154],"main":[94],"To":[101],"make":[102],"recognize":[105],"objects":[107],"well,":[108],"we":[109,124,145],"increase":[110],"input":[112],"image":[113],"size":[114],"add":[116],"global":[117],"context":[118],"model.":[121,138],"During":[122],"training,":[123],"used":[125],"data":[126],"augmentation":[127],"multi-scale":[129],"training":[130],"strategies":[131],"that":[132],"improved":[133],"performance":[135],"Finally,":[139],"improve":[141],"performance,":[144],"integrate":[146],"R-CNN,":[148],"TOOD,":[149],"GFL.":[151],"evaluated":[153],"on":[156],"test":[158],"set.":[159],"mAP":[161,169],"reached":[165,173],"54.69,":[166],"while":[167],"integration":[172],"56.22.":[174]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
