{"id":"https://openalex.org/W4402259878","doi":"https://doi.org/10.1109/igarss53475.2024.10641188","title":"A Domain Generalized Mask R-CNN for Building Instance Segmentation","display_name":"A Domain Generalized Mask R-CNN for Building Instance Segmentation","publication_year":2024,"publication_date":"2024-07-07","ids":{"openalex":"https://openalex.org/W4402259878","doi":"https://doi.org/10.1109/igarss53475.2024.10641188"},"language":"en","primary_location":{"id":"doi:10.1109/igarss53475.2024.10641188","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss53475.2024.10641188","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2024 - 2024 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://figshare.com/articles/conference_contribution/A_domain_generalized_Mask_R-CNN_for_building_instance_segmentation/25943134","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5092706506","display_name":"Efkan Durakl\u0131","orcid":"https://orcid.org/0000-0003-0500-5321"},"institutions":[{"id":"https://openalex.org/I109297418","display_name":"Gebze Technical University","ror":"https://ror.org/01sdnnq10","country_code":"TR","type":"education","lineage":["https://openalex.org/I109297418"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Efkan Durakli","raw_affiliation_strings":["Gebze Technical University Computer Engineering,Kocaeli,Türkiye"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Gebze Technical University Computer Engineering,Kocaeli,Türkiye","institution_ids":["https://openalex.org/I109297418"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066673451","display_name":"Petra Bosilj","orcid":"https://orcid.org/0000-0001-9640-9828"},"institutions":[{"id":"https://openalex.org/I51532219","display_name":"University of Lincoln","ror":"https://ror.org/03yeq9x20","country_code":"GB","type":"education","lineage":["https://openalex.org/I51532219"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Petra Bosilj","raw_affiliation_strings":["University of Lincoln,School of Computer Science,Lincoln,United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Lincoln,School of Computer Science,Lincoln,United Kingdom","institution_ids":["https://openalex.org/I51532219"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101892404","display_name":"Charles Fox","orcid":"https://orcid.org/0000-0002-6695-8081"},"institutions":[{"id":"https://openalex.org/I51532219","display_name":"University of Lincoln","ror":"https://ror.org/03yeq9x20","country_code":"GB","type":"education","lineage":["https://openalex.org/I51532219"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Charles Fox","raw_affiliation_strings":["University of Lincoln,School of Computer Science,Lincoln,United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Lincoln,School of Computer Science,Lincoln,United Kingdom","institution_ids":["https://openalex.org/I51532219"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5026370111","display_name":"Erchan Aptoula","orcid":"https://orcid.org/0000-0001-6168-2883"},"institutions":[{"id":"https://openalex.org/I134235054","display_name":"Sabanc\u0131 \u00dcniversitesi","ror":"https://ror.org/049asqa32","country_code":"TR","type":"education","lineage":["https://openalex.org/I134235054"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Erchan Aptoula","raw_affiliation_strings":["Sabanci University FENS (VPALab),Istanbul,Türkiye"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sabanci University FENS (VPALab),Istanbul,Türkiye","institution_ids":["https://openalex.org/I134235054"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.6803,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.92575758,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"9684","last_page":"9687"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11211","display_name":"3D Surveying and Cultural Heritage","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/1907","display_name":"Geology"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11211","display_name":"3D Surveying and Cultural Heritage","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/1907","display_name":"Geology"},"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9943000078201294,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9918000102043152,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6843847036361694},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5750005841255188},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5569625496864319},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5279832482337952},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.47254371643066406},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4318397045135498},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.34524020552635193},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.3369045555591583},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.19453513622283936},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.06264129281044006}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6843847036361694},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5750005841255188},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5569625496864319},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5279832482337952},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.47254371643066406},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4318397045135498},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.34524020552635193},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.3369045555591583},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19453513622283936},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.06264129281044006}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/igarss53475.2024.10641188","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss53475.2024.10641188","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"},{"id":"pmh:oai:research.sabanciuniv.edu:50489","is_oa":false,"landing_page_url":"https://research.sabanciuniv.edu/id/eprint/50489/","pdf_url":null,"source":{"id":"https://openalex.org/S4306402254","display_name":"Sabanci University","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I134235054","host_organization_name":"Sabanc\u0131 \u00dcniversitesi","host_organization_lineage":["https://openalex.org/I134235054"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":null,"raw_type":"PeerReviewed"},{"id":"pmh:oai:figshare.com:article/25943134","is_oa":true,"landing_page_url":"https://figshare.com/articles/conference_contribution/A_domain_generalized_Mask_R-CNN_for_building_instance_segmentation/25943134","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":null,"raw_type":"Conference contribution"}],"best_oa_location":{"id":"pmh:oai:figshare.com:article/25943134","is_oa":true,"landing_page_url":"https://figshare.com/articles/conference_contribution/A_domain_generalized_Mask_R-CNN_for_building_instance_segmentation/25943134","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":null,"raw_type":"Conference contribution"},"sustainable_development_goals":[{"score":0.5699999928474426,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W2194775991","https://openalex.org/W2558156561","https://openalex.org/W2565639579","https://openalex.org/W2963150697","https://openalex.org/W3034826836","https://openalex.org/W3134924435","https://openalex.org/W4226252548","https://openalex.org/W4226485547","https://openalex.org/W4285248913","https://openalex.org/W4294691154","https://openalex.org/W4318586146","https://openalex.org/W4362465310","https://openalex.org/W4366331277","https://openalex.org/W4377263991","https://openalex.org/W4382465569","https://openalex.org/W4383108479","https://openalex.org/W4385152255","https://openalex.org/W4386214802","https://openalex.org/W4387802102","https://openalex.org/W6791527651"],"related_works":["https://openalex.org/W4379231730","https://openalex.org/W4389858081","https://openalex.org/W2501551404","https://openalex.org/W4385583601","https://openalex.org/W4298131179","https://openalex.org/W2113201962","https://openalex.org/W4395685956","https://openalex.org/W2799953226","https://openalex.org/W4398146871","https://openalex.org/W1522196789"],"abstract_inverted_index":{"Building":[0],"instance":[1,17],"segmentation":[2,18],"is":[3,83,87],"a":[4],"critical":[5],"task":[6],"for":[7],"urban":[8],"planning.":[9],"It":[10],"has":[11],"been":[12,24],"extensively":[13],"studied":[14],"through":[15],"state-of-the-art":[16],"models,":[19],"and":[20,37,92,123],"great":[21],"advances":[22],"have":[23],"reported.":[25],"However,":[26],"the":[27,63,69,101,117,121],"issue":[28],"of":[29,65,103,119],"domain":[30,44,56,70,94,112],"shift":[31],"referring":[32],"to":[33,54,76,99],"disparities":[34],"between":[35],"training":[36],"target":[38,55,78,81],"data":[39,82],"distributions":[40],"remains":[41],"elusive.":[42],"Although":[43],"adaptation":[45],"can":[46],"help":[47],"tackle":[48],"it,":[49],"it":[50],"still":[51],"requires":[52],"access":[53,75],"data.":[57],"In":[58],"this":[59,129],"paper,":[60],"we":[61],"explore":[62],"problem":[64],"building":[66],"extraction":[67,102],"in":[68,97],"generalization":[71,113],"setting,":[72],"where":[73],"no":[74],"either":[77],"labels":[79],"or":[80],"assumed.":[84],"Mask":[85],"R-CNN":[86],"equipped":[88],"with":[89,110],"image,":[90],"instance,":[91],"pixel-level":[93],"adversarial":[95],"modules":[96],"order":[98],"encourage":[100],"domain-invariant":[104],"features.":[105],"The":[106],"preliminary":[107],"results":[108],"obtained":[109],"cross-continent":[111],"are":[114,125],"promising.":[115],"For":[116],"sake":[118],"reproducibility,":[120],"code":[122],"models":[124],"publicly":[126],"available":[127],"on":[128],"website:":[130],"https://github.com/efkandurakli/DGMaskRCNN.":[131]},"counts_by_year":[{"year":2025,"cited_by_count":3}],"updated_date":"2026-08-21T09:56:20.448147","created_date":"2025-10-10T00:00:00"}