{"id":"https://openalex.org/W4319989557","doi":"https://doi.org/10.48550/arxiv.2301.06190","title":"BuildSeg: A General Framework for the Segmentation of Buildings","display_name":"BuildSeg: A General Framework for the Segmentation of Buildings","publication_year":2023,"publication_date":"2023-01-15","ids":{"openalex":"https://openalex.org/W4319989557","doi":"https://doi.org/10.48550/arxiv.2301.06190"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2301.06190","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2301.06190","pdf_url":"https://arxiv.org/pdf/2301.06190","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":null},"type":"preprint","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2301.06190","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100440226","display_name":"Lei Li","orcid":"https://orcid.org/0000-0001-5359-9684"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Li, Lei","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101400968","display_name":"Tianfang Zhang","orcid":"https://orcid.org/0000-0002-2084-6383"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang, Tianfang","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017031707","display_name":"Stefan Oehmcke","orcid":"https://orcid.org/0000-0002-0240-1559"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Oehmcke, Stefan","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023532714","display_name":"Fabian Gieseke","orcid":"https://orcid.org/0000-0001-7093-5803"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Gieseke, Fabian","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5042628612","display_name":"Christian Igel","orcid":"https://orcid.org/0000-0003-2868-0856"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Igel, Christian","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100440226"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13282","display_name":"Automated Road and Building Extraction","score":0.9983000159263611,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T13282","display_name":"Automated Road and Building Extraction","score":0.9983000159263611,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9941999912261963,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental 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":0.9925000071525574,"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/segmentation","display_name":"Segmentation","score":0.7142589092254639},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6719193458557129},{"id":"https://openalex.org/keywords/lidar","display_name":"Lidar","score":0.669894814491272},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6288297772407532},{"id":"https://openalex.org/keywords/aerial-image","display_name":"Aerial image","score":0.5280362367630005},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.48267605900764465},{"id":"https://openalex.org/keywords/aerial-imagery","display_name":"Aerial imagery","score":0.4652116596698761},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.4505957067012787},{"id":"https://openalex.org/keywords/boundary","display_name":"Boundary (topology)","score":0.4381120204925537},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4163011312484741},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.39679861068725586},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.35799023509025574},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.31076037883758545},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.22432267665863037},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11690670251846313},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.10261812806129456}],"concepts":[{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7142589092254639},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6719193458557129},{"id":"https://openalex.org/C51399673","wikidata":"https://www.wikidata.org/wiki/Q504027","display_name":"Lidar","level":2,"score":0.669894814491272},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6288297772407532},{"id":"https://openalex.org/C2776429412","wikidata":"https://www.wikidata.org/wiki/Q4688011","display_name":"Aerial image","level":3,"score":0.5280362367630005},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.48267605900764465},{"id":"https://openalex.org/C2987819851","wikidata":"https://www.wikidata.org/wiki/Q191839","display_name":"Aerial imagery","level":2,"score":0.4652116596698761},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.4505957067012787},{"id":"https://openalex.org/C62354387","wikidata":"https://www.wikidata.org/wiki/Q875399","display_name":"Boundary (topology)","level":2,"score":0.4381120204925537},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4163011312484741},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.39679861068725586},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.35799023509025574},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.31076037883758545},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.22432267665863037},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11690670251846313},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10261812806129456},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"pmh:oai:arXiv.org:2301.06190","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2301.06190","pdf_url":"https://arxiv.org/pdf/2301.06190","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":null},{"id":"pmh:oai:pure.atira.dk:openaire_cris_publications/52090a8e-4bc3-418e-9e4e-0cdb67872217","is_oa":true,"landing_page_url":"https://researchprofiles.ku.dk/da/publications/52090a8e-4bc3-418e-9e4e-0cdb67872217","pdf_url":null,"source":{"id":"https://openalex.org/S4306401983","display_name":"Research at the University of Copenhagen (University of Copenhagen)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I124055696","host_organization_name":"University of Copenhagen","host_organization_lineage":["https://openalex.org/I124055696"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Li , L , Zhang , T , Oehmcke , S , Gieseke , F & Igel , C 2023 ' BuildSeg : A General Framework for the Segmentation of Buildings ' arxiv.org . < https://arxiv.org/abs/2301.06190 >","raw_type":"workingPaper"},{"id":"doi:10.48550/arxiv.2301.06190","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2301.06190","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2301.06190","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2301.06190","pdf_url":"https://arxiv.org/pdf/2301.06190","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":null},"sustainable_development_goals":[{"score":0.8199999928474426,"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":0,"referenced_works":[],"related_works":["https://openalex.org/W4283696875","https://openalex.org/W3110585990","https://openalex.org/W4385767632","https://openalex.org/W2958927440","https://openalex.org/W2898690910","https://openalex.org/W2784132289","https://openalex.org/W4286697184","https://openalex.org/W2889700547","https://openalex.org/W2889866244","https://openalex.org/W3034139063"],"abstract_inverted_index":{"Building":[0],"segmentation":[1,47],"from":[2,130,163],"aerial":[3,127],"images":[4],"and":[5,22,33,106,114,119,140],"3D":[6],"laser":[7],"scanning":[8],"(LiDAR)":[9],"is":[10],"a":[11,64,70,141],"challenging":[12],"task":[13],"due":[14],"to":[15,78,86,149,165],"the":[16,39,124,131,152,156,160],"diversity":[17],"of":[18,31,109,138,144,155],"backgrounds,":[19],"building":[20],"textures,":[21],"image":[23,128],"quality.":[24],"While":[25],"current":[26],"research":[27],"using":[28],"different":[29,96],"types":[30],"convolutional":[32],"transformer":[34],"networks":[35],"has":[36],"considerably":[37],"improved":[38],"performance":[40],"on":[41,103,123],"this":[42,60],"task,":[43],"even":[44],"more":[45],"accurate":[46],"methods":[48,134],"for":[49,53,95,151],"buildings":[50],"are":[51],"desirable":[52],"applications":[54],"such":[55],"as":[56,99],"automatic":[57],"mapping.":[58],"In":[59],"study,":[61],"we":[62],"propose":[63],"general":[65],"framework":[66],"termed":[67],"\\emph{BuildSeg}":[68],"employing":[69],"generic":[71],"approach":[72,91],"that":[73],"can":[74],"be":[75],"quickly":[76],"applied":[77,117],"segment":[79],"buildings.":[80],"Different":[81],"data":[82,97],"sources":[83,98],"were":[84],"combined":[85],"increase":[87],"generalization":[88],"performance.":[89],"The":[90,133],"yields":[92],"good":[93],"results":[94],"shown":[100],"by":[101],"experiments":[102],"high-resolution":[104],"multi-spectral":[105],"LiDAR":[107],"imagery":[108],"cities":[110],"in":[111],"Norway,":[112],"Denmark":[113],"France.":[115],"We":[116,146],"ConvNeXt":[118],"SegFormer":[120],"based":[121],"models":[122],"high":[125],"resolution":[126],"dataset":[129],"MapAI-competition.":[132],"achieved":[135],"an":[136],"IOU":[137,143,162],"0.7902":[139],"boundary":[142,161],"0.6185.":[145],"used":[147],"post-processing":[148],"account":[150],"rectangular":[153],"shape":[154],"objects.":[157],"This":[158],"increased":[159],"0.6185":[164],"0.6189.":[166]},"counts_by_year":[],"updated_date":"2026-03-11T14:59:36.786465","created_date":"2025-10-10T00:00:00"}