{"id":"https://openalex.org/W4405490906","doi":"https://doi.org/10.1109/iccp63557.2024.10793045","title":"Active Learning for Semantic Segmentation with Area Disagreement","display_name":"Active Learning for Semantic Segmentation with Area Disagreement","publication_year":2024,"publication_date":"2024-10-17","ids":{"openalex":"https://openalex.org/W4405490906","doi":"https://doi.org/10.1109/iccp63557.2024.10793045"},"language":"en","primary_location":{"id":"doi:10.1109/iccp63557.2024.10793045","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccp63557.2024.10793045","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 20th International Conference on Intelligent Computer Communication and Processing (ICCP)","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/A5115513825","display_name":"Flavius Cristian Fetean","orcid":null},"institutions":[{"id":"https://openalex.org/I158333966","display_name":"Technical University of Cluj-Napoca","ror":"https://ror.org/03r8nwp71","country_code":"RO","type":"education","lineage":["https://openalex.org/I158333966"]}],"countries":["RO"],"is_corresponding":true,"raw_author_name":"Flavius Cristian Fetean","raw_affiliation_strings":["Technical University of Cluj-Napoca,Computer Science Department,Cluj-Napoca,Romania"],"affiliations":[{"raw_affiliation_string":"Technical University of Cluj-Napoca,Computer Science Department,Cluj-Napoca,Romania","institution_ids":["https://openalex.org/I158333966"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5078073621","display_name":"Razvan Itu","orcid":"https://orcid.org/0000-0001-8156-7313"},"institutions":[{"id":"https://openalex.org/I158333966","display_name":"Technical University of Cluj-Napoca","ror":"https://ror.org/03r8nwp71","country_code":"RO","type":"education","lineage":["https://openalex.org/I158333966"]}],"countries":["RO"],"is_corresponding":false,"raw_author_name":"Razvan Itu","raw_affiliation_strings":["Technical University of Cluj-Napoca,Computer Science Department,Cluj-Napoca,Romania"],"affiliations":[{"raw_affiliation_string":"Technical University of Cluj-Napoca,Computer Science Department,Cluj-Napoca,Romania","institution_ids":["https://openalex.org/I158333966"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5115513825"],"corresponding_institution_ids":["https://openalex.org/I158333966"],"apc_list":null,"apc_paid":null,"fwci":0.3862,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.70305785,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12072","display_name":"Machine Learning and Algorithms","score":0.9975000023841858,"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":0.9975000023841858,"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":0.9670000076293945,"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/T10906","display_name":"AI-based Problem Solving and Planning","score":0.9333999752998352,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7446874976158142},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6242119073867798},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.6010516881942749},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5710271596908569},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.33237117528915405}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7446874976158142},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6242119073867798},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6010516881942749},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5710271596908569},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.33237117528915405}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iccp63557.2024.10793045","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccp63557.2024.10793045","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 20th International Conference on Intelligent Computer Communication and Processing (ICCP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.6100000143051147}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W1580375566","https://openalex.org/W1901129140","https://openalex.org/W1995875735","https://openalex.org/W2080021732","https://openalex.org/W2340897893","https://openalex.org/W2963696295","https://openalex.org/W2970489881","https://openalex.org/W2984303785","https://openalex.org/W2986514296","https://openalex.org/W3035166710","https://openalex.org/W3090204745","https://openalex.org/W3179550234","https://openalex.org/W3206062427","https://openalex.org/W3214333957","https://openalex.org/W4319299986","https://openalex.org/W4392551970","https://openalex.org/W4395036569","https://openalex.org/W6617145748","https://openalex.org/W6618476874","https://openalex.org/W6639393196","https://openalex.org/W6679227803","https://openalex.org/W6734269522","https://openalex.org/W6747231328","https://openalex.org/W6755461474","https://openalex.org/W6756006995","https://openalex.org/W6761687610","https://openalex.org/W6764588566","https://openalex.org/W6766461993","https://openalex.org/W6771921458","https://openalex.org/W6772057793","https://openalex.org/W6781216420","https://openalex.org/W6856200693"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W3204019825"],"abstract_inverted_index":{"We":[0],"propose":[1],"Area":[2],"Disagreement,":[3],"a":[4,62,99,122],"novel":[5],"uncertainty":[6,93],"estimation":[7,94],"method":[8,95],"for":[9,89],"Active":[10],"Learning":[11],"in":[12,45,49],"the":[13,21,25,30,36,46,57,73,78,105,126,132,140,145,153],"context":[14],"of":[15,24,51,65,77,131,139,144,152],"Semantic":[16],"Segmentation,":[17],"which":[18],"capitalizes":[19],"on":[20,29,109,125],"unique":[22],"characteristics":[23],"task.":[26],"It":[27],"relies":[28],"assumption":[31],"that":[32,72],"slight":[33],"alterations":[34],"to":[35,104],"learner":[37],"model's":[38,74],"parameters":[39],"should":[40],"not":[41],"produce":[42],"significant":[43],"differences":[44],"output,":[47],"specifically":[48],"terms":[50],"predicted":[52],"shapes":[53],"and":[54,142],"objects":[55],"given":[56],"same":[58],"input":[59],"image.":[60],"While":[61],"small":[63],"amount":[64],"contradiction":[66],"is":[67,80],"natural,":[68],"larger":[69],"inconsistencies":[70],"suggest":[71],"internal":[75],"representation":[76],"world":[79],"perplexed":[81],"by":[82,121],"those":[83],"images,":[84],"thus":[85],"making":[86],"them":[87],"valuable":[88],"further":[90],"training.":[91],"Our":[92],"prioritizes":[96],"images":[97],"with":[98],"smaller":[100],"Dice":[101],"Coefficient":[102],"relative":[103],"average":[106],"prediction,":[107],"based":[108],"multiple":[110],"Monte-Carlo":[111],"Dropout":[112],"inferences.":[113],"Utilizing":[114],"this":[115],"approach,":[116],"we":[117],"outperformed":[118],"baseline":[119],"methods":[120],"wide":[123],"margin":[124],"Cityscapes":[127],"dataset,":[128],"achieving":[129],"95%":[130],"full-scale":[133,146],"training":[134,147],"performance":[135,148],"using":[136,149],"only":[137],"36%":[138],"dataset":[141],"97.5%":[143],"47":[150],"%":[151],"dataset.":[154]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-12-27T23:08:20.325037","created_date":"2025-10-10T00:00:00"}
