{"id":"https://openalex.org/W4387828752","doi":"https://doi.org/10.1109/igarss52108.2023.10281434","title":"Task Agnostic Cost Prediction Module for Semantic Labeling in Active Learning","display_name":"Task Agnostic Cost Prediction Module for Semantic Labeling in Active Learning","publication_year":2023,"publication_date":"2023-07-16","ids":{"openalex":"https://openalex.org/W4387828752","doi":"https://doi.org/10.1109/igarss52108.2023.10281434"},"language":"en","primary_location":{"id":"doi:10.1109/igarss52108.2023.10281434","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/igarss52108.2023.10281434","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://research.utwente.nl/en/publications/b2237c7c-7416-4f2a-b92d-0d2174ea3909","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5089378935","display_name":"Srikumar Sastry","orcid":"https://orcid.org/0000-0002-4646-9416"},"institutions":[{"id":"https://openalex.org/I204465549","display_name":"Washington University in St. Louis","ror":"https://ror.org/01yc7t268","country_code":"US","type":"education","lineage":["https://openalex.org/I204465549"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Srikumar Sastry","raw_affiliation_strings":["Washington University in St. Louis,Department of Computer Science","Department of Computer Science, Washington University in St. Louis"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Washington University in St. Louis,Department of Computer Science","institution_ids":["https://openalex.org/I204465549"]},{"raw_affiliation_string":"Department of Computer Science, Washington University in St. Louis","institution_ids":["https://openalex.org/I204465549"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029557305","display_name":"Nathan Jacobs","orcid":"https://orcid.org/0000-0002-4242-8967"},"institutions":[{"id":"https://openalex.org/I204465549","display_name":"Washington University in St. Louis","ror":"https://ror.org/01yc7t268","country_code":"US","type":"education","lineage":["https://openalex.org/I204465549"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Nathan Jacobs","raw_affiliation_strings":["Washington University in St. Louis,Department of Computer Science","Department of Computer Science, Washington University in St. Louis"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Washington University in St. Louis,Department of Computer Science","institution_ids":["https://openalex.org/I204465549"]},{"raw_affiliation_string":"Department of Computer Science, Washington University in St. Louis","institution_ids":["https://openalex.org/I204465549"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083063955","display_name":"Mariana Belgiu","orcid":"https://orcid.org/0000-0002-2147-1894"},"institutions":[{"id":"https://openalex.org/I94624287","display_name":"University of Twente","ror":"https://ror.org/006hf6230","country_code":"NL","type":"education","lineage":["https://openalex.org/I94624287"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Mariana Belgiu","raw_affiliation_strings":["University of Twente,Faculty ITC, Geoinformation Science and Earth Observation,The Netherlands","Faculty ITC, Geoinformation Science and Earth Observation, University of Twente, The Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Twente,Faculty ITC, Geoinformation Science and Earth Observation,The Netherlands","institution_ids":["https://openalex.org/I94624287"]},{"raw_affiliation_string":"Faculty ITC, Geoinformation Science and Earth Observation, University of Twente, The Netherlands","institution_ids":["https://openalex.org/I94624287"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5062875901","display_name":"Raian Vargas Maretto","orcid":"https://orcid.org/0000-0002-4983-2700"},"institutions":[{"id":"https://openalex.org/I94624287","display_name":"University of Twente","ror":"https://ror.org/006hf6230","country_code":"NL","type":"education","lineage":["https://openalex.org/I94624287"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Raian Vargas Maretto","raw_affiliation_strings":["University of Twente,Faculty ITC, Geoinformation Science and Earth Observation,The Netherlands","Faculty ITC, Geoinformation Science and Earth Observation, University of Twente, The Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Twente,Faculty ITC, Geoinformation Science and Earth Observation,The Netherlands","institution_ids":["https://openalex.org/I94624287"]},{"raw_affiliation_string":"Faculty ITC, Geoinformation Science and Earth Observation, University of Twente, The Netherlands","institution_ids":["https://openalex.org/I94624287"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.15048038,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"34","issue":null,"first_page":"4990","last_page":"4993"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12072","display_name":"Machine Learning and Algorithms","score":0.9998999834060669,"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/T12072","display_name":"Machine Learning and Algorithms","score":0.9998999834060669,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.9919999837875366,"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/T12101","display_name":"Advanced Bandit Algorithms Research","score":0.9878000020980835,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8475627899169922},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.7196307182312012},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6927381753921509},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6493343710899353},{"id":"https://openalex.org/keywords/relevance","display_name":"Relevance (law)","score":0.5981558561325073},{"id":"https://openalex.org/keywords/annotation","display_name":"Annotation","score":0.5737133622169495},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.48953375220298767},{"id":"https://openalex.org/keywords/supervised-learning","display_name":"Supervised learning","score":0.47570547461509705},{"id":"https://openalex.org/keywords/active-learning","display_name":"Active learning (machine learning)","score":0.4726354479789734},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.44299110770225525},{"id":"https://openalex.org/keywords/semi-supervised-learning","display_name":"Semi-supervised learning","score":0.440092533826828},{"id":"https://openalex.org/keywords/labeled-data","display_name":"Labeled data","score":0.42663487792015076},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4059654176235199}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8475627899169922},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7196307182312012},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6927381753921509},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6493343710899353},{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.5981558561325073},{"id":"https://openalex.org/C2776321320","wikidata":"https://www.wikidata.org/wiki/Q857525","display_name":"Annotation","level":2,"score":0.5737133622169495},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.48953375220298767},{"id":"https://openalex.org/C136389625","wikidata":"https://www.wikidata.org/wiki/Q334384","display_name":"Supervised learning","level":3,"score":0.47570547461509705},{"id":"https://openalex.org/C77967617","wikidata":"https://www.wikidata.org/wiki/Q4677561","display_name":"Active learning (machine learning)","level":2,"score":0.4726354479789734},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.44299110770225525},{"id":"https://openalex.org/C58973888","wikidata":"https://www.wikidata.org/wiki/Q1041418","display_name":"Semi-supervised learning","level":2,"score":0.440092533826828},{"id":"https://openalex.org/C2776145971","wikidata":"https://www.wikidata.org/wiki/Q30673951","display_name":"Labeled data","level":2,"score":0.42663487792015076},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4059654176235199},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"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/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/igarss52108.2023.10281434","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/igarss52108.2023.10281434","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"},{"id":"pmh:oai:ris.utwente.nl:openaire_cris_publications/b2237c7c-7416-4f2a-b92d-0d2174ea3909","is_oa":true,"landing_page_url":"https://research.utwente.nl/en/publications/b2237c7c-7416-4f2a-b92d-0d2174ea3909","pdf_url":null,"source":{"id":"https://openalex.org/S4406922991","display_name":"University of Twente Research Information","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":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":{"id":"pmh:oai:ris.utwente.nl:openaire_cris_publications/b2237c7c-7416-4f2a-b92d-0d2174ea3909","is_oa":true,"landing_page_url":"https://research.utwente.nl/en/publications/b2237c7c-7416-4f2a-b92d-0d2174ea3909","pdf_url":null,"source":{"id":"https://openalex.org/S4406922991","display_name":"University of Twente Research Information","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":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/conferenceObject"},"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.5600000023841858,"id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1872312298","https://openalex.org/W1901129140","https://openalex.org/W2064985253","https://openalex.org/W2560662850","https://openalex.org/W2798542376","https://openalex.org/W2804199516","https://openalex.org/W2948367246","https://openalex.org/W3035166710","https://openalex.org/W3085923845","https://openalex.org/W3112251838","https://openalex.org/W3188271578","https://openalex.org/W3203978358","https://openalex.org/W3211490618","https://openalex.org/W4312815172","https://openalex.org/W6735374517","https://openalex.org/W6747231328","https://openalex.org/W6755461474","https://openalex.org/W6797399245"],"related_works":["https://openalex.org/W2949671220","https://openalex.org/W1492505081","https://openalex.org/W4312414840","https://openalex.org/W2794908468","https://openalex.org/W4206276646","https://openalex.org/W2943467239","https://openalex.org/W1571801203","https://openalex.org/W101422005","https://openalex.org/W192740413","https://openalex.org/W3004135598"],"abstract_inverted_index":{"We":[0],"consider":[1],"the":[2,16,26,53,57,79,90,107,114,117,134,140,143,166,171,174,177],"problem":[3],"of":[4,18,28,30,59,81,85,92,106,116,136,142,173],"cost":[5,29,45,80,84,135],"effective":[6],"active":[7,34,161],"learning":[8,35,162],"for":[9],"semantic":[10,144],"segmentation,":[11],"which":[12],"aims":[13],"at":[14],"reducing":[15],"efforts":[17],"semantically":[19],"annotating":[20],"images.":[21],"Current":[22],"studies":[23],"have":[24],"ignored":[25],"inclusion":[27],"labeling":[31],"into":[32],"their":[33],"frameworks.":[36],"To":[37,99],"this":[38,101],"end,":[39],"we":[40,51,103,125],"first":[41],"present":[42],"a":[43,67,127],"novel":[44],"prediction":[46],"module":[47],"based":[48],"on":[49],"what":[50],"call":[52],"M-Net.":[54],"M-Net":[55,148],"combines":[56],"power":[58],"unsupervised":[60],"W-Net":[61],"and":[62,156],"supervised":[63,151],"U-Net":[64,152],"to":[65,77,95,112,120,132,169],"compute":[66],"refined":[68,72],"segmentation":[69,73,145],"map.":[70],"The":[71,83,147,159],"map":[74],"is":[75,87],"used":[76],"estimate":[78,113],"annotations.":[82],"annotation":[86],"estimated":[88],"by":[89],"number":[91],"clicks":[93,118],"required":[94,119],"annotate":[96,121],"an":[97,122],"image.":[98,123],"solve":[100],"task,":[102],"make":[104],"use":[105],"harris":[108],"corner":[109],"detector":[110],"algorithm":[111],"location":[115],"Finally,":[124],"employ":[126],"multi":[128],"armed":[129],"bandit":[130],"setting":[131],"minimize":[133],"annotations":[137],"while":[138],"maximizing":[139],"performance":[141],"task.":[146],"outperforms":[149,165],"fully":[150],"with":[153],"+4.37":[154],"Acc":[155],"+3.75":[157],"mIoU.":[158],"proposed":[160],"framework":[163],"also":[164],"existing":[167],"baselines":[168],"prove":[170],"relevance":[172],"approach":[175],"in":[176],"current":[178],"paradigm.":[179]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
