{"id":"https://openalex.org/W4383105644","doi":"https://doi.org/10.1088/2632-2153/ace417","title":"Robust detection of marine life with label-free image feature learning and probability calibration","display_name":"Robust detection of marine life with label-free image feature learning and probability calibration","publication_year":2023,"publication_date":"2023-07-04","ids":{"openalex":"https://openalex.org/W4383105644","doi":"https://doi.org/10.1088/2632-2153/ace417"},"language":"en","primary_location":{"id":"doi:10.1088/2632-2153/ace417","is_oa":true,"landing_page_url":"https://doi.org/10.1088/2632-2153/ace417","pdf_url":"https://iopscience.iop.org/article/10.1088/2632-2153/ace417/pdf","source":{"id":"https://openalex.org/S4210200687","display_name":"Machine Learning Science and Technology","issn_l":"2632-2153","issn":["2632-2153"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320083","host_organization_name":"IOP Publishing","host_organization_lineage":["https://openalex.org/P4310320083","https://openalex.org/P4310311669"],"host_organization_lineage_names":["IOP Publishing","Institute of Physics"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Machine Learning: Science and Technology","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://iopscience.iop.org/article/10.1088/2632-2153/ace417/pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5053715725","display_name":"Tobias Schanz","orcid":"https://orcid.org/0000-0002-8455-4179"},"institutions":[{"id":"https://openalex.org/I4210139239","display_name":"Helmholtz-Zentrum Hereon","ror":"https://ror.org/03qjp1d79","country_code":"DE","type":"government","lineage":["https://openalex.org/I1305996414","https://openalex.org/I4210139239"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Tobias Schanz","raw_affiliation_strings":["Model-Driven Machine Learning, Helmholtz-Zentrum Hereon, Max-Planck-Stra\u00dfe 1, Geesthacht, 21502, GERMANY"],"raw_orcid":"https://orcid.org/0000-0002-8455-4179","affiliations":[{"raw_affiliation_string":"Model-Driven Machine Learning, Helmholtz-Zentrum Hereon, Max-Planck-Stra\u00dfe 1, Geesthacht, 21502, GERMANY","institution_ids":["https://openalex.org/I4210139239"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072650235","display_name":"Klas Ove M\u00f6ller","orcid":"https://orcid.org/0000-0003-3118-2161"},"institutions":[{"id":"https://openalex.org/I4210139239","display_name":"Helmholtz-Zentrum Hereon","ror":"https://ror.org/03qjp1d79","country_code":"DE","type":"government","lineage":["https://openalex.org/I1305996414","https://openalex.org/I4210139239"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Klas Ove M\u00f6ller","raw_affiliation_strings":["Biological Carbon Pump, Helmholtz-Zentrum Hereon, Max-Planck-Stra\u00dfe 1, Geesthacht, 21502, GERMANY"],"raw_orcid":"https://orcid.org/0000-0003-3118-2161","affiliations":[{"raw_affiliation_string":"Biological Carbon Pump, Helmholtz-Zentrum Hereon, Max-Planck-Stra\u00dfe 1, Geesthacht, 21502, GERMANY","institution_ids":["https://openalex.org/I4210139239"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080292054","display_name":"Saskia R\u00fchl","orcid":"https://orcid.org/0000-0002-4650-6045"},"institutions":[{"id":"https://openalex.org/I4210139239","display_name":"Helmholtz-Zentrum Hereon","ror":"https://ror.org/03qjp1d79","country_code":"DE","type":"government","lineage":["https://openalex.org/I1305996414","https://openalex.org/I4210139239"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Saskia R\u00fchl","raw_affiliation_strings":["Biological Carbon Pump, Helmholtz-Zentrum Hereon, Max-Planck-Stra\u00dfe 1, Geesthacht, 21502, GERMANY"],"raw_orcid":"https://orcid.org/0000-0002-4650-6045","affiliations":[{"raw_affiliation_string":"Biological Carbon Pump, Helmholtz-Zentrum Hereon, Max-Planck-Stra\u00dfe 1, Geesthacht, 21502, GERMANY","institution_ids":["https://openalex.org/I4210139239"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5053720915","display_name":"David S. Greenberg","orcid":"https://orcid.org/0000-0002-8515-0459"},"institutions":[{"id":"https://openalex.org/I4210139239","display_name":"Helmholtz-Zentrum Hereon","ror":"https://ror.org/03qjp1d79","country_code":"DE","type":"government","lineage":["https://openalex.org/I1305996414","https://openalex.org/I4210139239"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"David S Greenberg","raw_affiliation_strings":["Model-Driven Machine Learning, Helmholtz-Zentrum Hereon, Max-Planck-Stra\u00dfe 1, Geesthacht, 21502, GERMANY"],"raw_orcid":"https://orcid.org/0000-0002-8515-0459","affiliations":[{"raw_affiliation_string":"Model-Driven Machine Learning, Helmholtz-Zentrum Hereon, Max-Planck-Stra\u00dfe 1, Geesthacht, 21502, GERMANY","institution_ids":["https://openalex.org/I4210139239"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5053715725"],"corresponding_institution_ids":["https://openalex.org/I4210139239"],"apc_list":{"value":1600,"currency":"GBP","value_usd":1962},"apc_paid":{"value":1600,"currency":"GBP","value_usd":1962},"fwci":1.1597,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.82466905,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"4","issue":"3","first_page":"035007","last_page":"035007"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9958999752998352,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9958999752998352,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T11698","display_name":"Underwater Acoustics Research","score":0.9890999794006348,"subfield":{"id":"https://openalex.org/subfields/1910","display_name":"Oceanography"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12697","display_name":"Water Quality Monitoring Technologies","score":0.9879000186920166,"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/computer-science","display_name":"Computer science","score":0.7530490159988403},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7389037609100342},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6746844053268433},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.488934189081192},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4729616045951843},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.4387325942516327},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.42288118600845337},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.41997015476226807},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.4196147620677948}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7530490159988403},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7389037609100342},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6746844053268433},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.488934189081192},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4729616045951843},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.4387325942516327},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.42288118600845337},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.41997015476226807},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.4196147620677948},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1088/2632-2153/ace417","is_oa":true,"landing_page_url":"https://doi.org/10.1088/2632-2153/ace417","pdf_url":"https://iopscience.iop.org/article/10.1088/2632-2153/ace417/pdf","source":{"id":"https://openalex.org/S4210200687","display_name":"Machine Learning Science and Technology","issn_l":"2632-2153","issn":["2632-2153"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320083","host_organization_name":"IOP Publishing","host_organization_lineage":["https://openalex.org/P4310320083","https://openalex.org/P4310311669"],"host_organization_lineage_names":["IOP Publishing","Institute of Physics"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Machine Learning: Science and Technology","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:c6e33ced05a44058834bab220e453c91","is_oa":true,"landing_page_url":"https://doaj.org/article/c6e33ced05a44058834bab220e453c91","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":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Machine Learning: Science and Technology, Vol 4, Iss 3, p 035007 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1088/2632-2153/ace417","is_oa":true,"landing_page_url":"https://doi.org/10.1088/2632-2153/ace417","pdf_url":"https://iopscience.iop.org/article/10.1088/2632-2153/ace417/pdf","source":{"id":"https://openalex.org/S4210200687","display_name":"Machine Learning Science and Technology","issn_l":"2632-2153","issn":["2632-2153"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320083","host_organization_name":"IOP Publishing","host_organization_lineage":["https://openalex.org/P4310320083","https://openalex.org/P4310311669"],"host_organization_lineage_names":["IOP Publishing","Institute of Physics"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Machine Learning: Science and Technology","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.8199999928474426,"display_name":"Life below water","id":"https://metadata.un.org/sdg/14"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320331625","display_name":"Gauss Centre for Supercomputing","ror":"https://ror.org/0585fsj26"},{"id":"https://openalex.org/F4320332086","display_name":"Helmholtz Artificial Intelligence Cooperation Unit","ror":null}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4383105644.pdf"},"referenced_works_count":78,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1530098540","https://openalex.org/W1861492603","https://openalex.org/W1999803211","https://openalex.org/W2008381331","https://openalex.org/W2018580505","https://openalex.org/W2034841618","https://openalex.org/W2049489886","https://openalex.org/W2084977633","https://openalex.org/W2101156862","https://openalex.org/W2117539524","https://openalex.org/W2118978333","https://openalex.org/W2142283269","https://openalex.org/W2150831270","https://openalex.org/W2194775991","https://openalex.org/W2346813889","https://openalex.org/W2427657585","https://openalex.org/W2555897561","https://openalex.org/W2754549959","https://openalex.org/W2757910899","https://openalex.org/W2781072509","https://openalex.org/W2896018215","https://openalex.org/W2905050155","https://openalex.org/W2917262027","https://openalex.org/W2962843773","https://openalex.org/W2962949934","https://openalex.org/W2964137095","https://openalex.org/W2984313420","https://openalex.org/W2993464084","https://openalex.org/W3005680577","https://openalex.org/W3009561768","https://openalex.org/W3035524453","https://openalex.org/W3100859887","https://openalex.org/W3109526273","https://openalex.org/W3119770130","https://openalex.org/W3140854437","https://openalex.org/W3150635270","https://openalex.org/W3159481202","https://openalex.org/W3171087525","https://openalex.org/W3192495122","https://openalex.org/W3205809313","https://openalex.org/W3208685304","https://openalex.org/W3212185757","https://openalex.org/W4281621864","https://openalex.org/W4281636746","https://openalex.org/W4281762078","https://openalex.org/W4282000490","https://openalex.org/W4286695273","https://openalex.org/W4294242935","https://openalex.org/W4295122555","https://openalex.org/W4295312788","https://openalex.org/W4303648950","https://openalex.org/W4310638179","https://openalex.org/W4321022081","https://openalex.org/W6631190155","https://openalex.org/W6639102338","https://openalex.org/W6652419235","https://openalex.org/W6674878840","https://openalex.org/W6687483927","https://openalex.org/W6717613756","https://openalex.org/W6730323794","https://openalex.org/W6743795293","https://openalex.org/W6744513255","https://openalex.org/W6757407635","https://openalex.org/W6766978945","https://openalex.org/W6774314701","https://openalex.org/W6774670964","https://openalex.org/W6779977557","https://openalex.org/W6794655914","https://openalex.org/W6795754764","https://openalex.org/W6796931752","https://openalex.org/W6802900763","https://openalex.org/W6804002281","https://openalex.org/W6838117315","https://openalex.org/W6838646311","https://openalex.org/W6845699158","https://openalex.org/W6846642385","https://openalex.org/W6912515347"],"related_works":["https://openalex.org/W4293226380","https://openalex.org/W4313906399","https://openalex.org/W4321487865","https://openalex.org/W2811106690","https://openalex.org/W4239306820","https://openalex.org/W2905271011","https://openalex.org/W3164948662","https://openalex.org/W4289536128","https://openalex.org/W3153597579","https://openalex.org/W1872833176"],"abstract_inverted_index":{"Abstract":[0],"Advances":[1],"in":[2,3,76,105,112,135],"situ":[4,136],"marine":[5],"life":[6],"imaging":[7],"have":[8],"significantly":[9],"increased":[10],"the":[11,43,149,171,178],"size":[12],"and":[13,57,72,80,108,191],"quality":[14],"of":[15,54,156,180],"available":[16],"datasets,":[17,49],"but":[18,34],"automatic":[19],"image":[20,32,96],"analysis":[21],"has":[22,28],"not":[23],"kept":[24],"pace.":[25],"Machine":[26],"learning":[27,99],"shown":[29],"promise":[30],"for":[31,45,66,88,148],"processing,":[33],"its":[35],"effectiveness":[36],"is":[37,120],"limited":[38],"by":[39,122],"several":[40],"open":[41],"challenges:":[42],"requirement":[44],"large":[46],"expert-labeled":[47],"training":[48,143,185],"disagreement":[50,190],"among":[51],"experts,":[52],"under-representation":[53],"various":[55],"species":[56],"unreliable":[58],"or":[59],"overconfident":[60],"predictions.":[61],"To":[62],"overcome":[63],"these":[64,167],"obstacles":[65],"automated":[67],"underwater":[68],"imaging,":[69],"we":[70,159],"combine":[71],"test":[73],"recent":[74],"developments":[75],"deep":[77,90],"classifier":[78],"networks":[79,92],"self-supervised":[81],"feature":[82],"learning.":[83],"We":[84],"use":[85],"unlabeled":[86],"images":[87],"pretraining":[89],"neural":[91],"to":[93,101,131,153],"extract":[94],"task-relevant":[95],"features,":[97],"allowing":[98],"algorithms":[100],"cope":[102,187],"with":[103,127,161,188],"scarcity":[104],"expert":[106,189],"labels,":[107],"carefully":[109],"evaluate":[110],"performance":[111],"subsequent":[113],"label-based":[114],"tasks.":[115],"Performance":[116],"on":[117,144],"rare":[118],"classes":[119],"improved":[121],"applying":[123],"data":[124],"rebalancing":[125],"together":[126],"a":[128,162],"Bayesian":[129],"correction":[130],"avoid":[132],"biasing":[133],"inferred":[134],"class":[137],"frequencies.":[138],"A":[139],"divergence-based":[140],"loss":[141],"allows":[142],"multiple,":[145],"conflicting":[146],"labels":[147],"same":[150],"image,":[151],"leading":[152],"better":[154],"estimates":[155],"uncertainty":[157],"which":[158],"quantify":[160],"novel":[163],"accuracy":[164,179],"measure.":[165],"Together,":[166],"techniques":[168],"can":[169],"reduce":[170,192],"required":[172],"label":[173],"counts":[174],"\u223c100-fold":[175],"while":[176],"maintaining":[177],"standard":[181],"supervised":[182],"training,":[183],"shorten":[184],"time,":[186],"overconfidence.":[193]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}