{"id":"https://openalex.org/W2995890703","doi":"https://doi.org/10.1109/tpami.2019.2958642","title":"Learning Regional Attraction for Line Segment Detection","display_name":"Learning Regional Attraction for Line Segment Detection","publication_year":2019,"publication_date":"2019-12-09","ids":{"openalex":"https://openalex.org/W2995890703","doi":"https://doi.org/10.1109/tpami.2019.2958642","mag":"2995890703","pmid":"https://pubmed.ncbi.nlm.nih.gov/31831408"},"language":"en","primary_location":{"id":"doi:10.1109/tpami.2019.2958642","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2019.2958642","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1912.09344","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5048981711","display_name":"Nan Xue","orcid":"https://orcid.org/0000-0002-5449-8073"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Nan Xue","raw_affiliation_strings":["School of Computer Science, Wuhan University, Wuhan, Hubei, China"],"raw_orcid":"https://orcid.org/0000-0002-5449-8073","affiliations":[{"raw_affiliation_string":"School of Computer Science, Wuhan University, Wuhan, Hubei, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101562162","display_name":"Song Bai","orcid":"https://orcid.org/0000-0002-2570-9118"},"institutions":[{"id":"https://openalex.org/I40120149","display_name":"University of Oxford","ror":"https://ror.org/052gg0110","country_code":"GB","type":"education","lineage":["https://openalex.org/I40120149"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Song Bai","raw_affiliation_strings":["University of Oxford,, Oxford, United Kingdom"],"raw_orcid":"https://orcid.org/0000-0002-2570-9118","affiliations":[{"raw_affiliation_string":"University of Oxford,, Oxford, United Kingdom","institution_ids":["https://openalex.org/I40120149"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011557689","display_name":"Fudong Wang","orcid":"https://orcid.org/0000-0001-6416-4707"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]},{"id":"https://openalex.org/I4210118728","display_name":"State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing","ror":"https://ror.org/02bpap860","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210118728"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fu-Dong Wang","raw_affiliation_strings":["State Key Lab. LIESMARS, Wuhan University, Wuhan, Hubei, China"],"raw_orcid":"https://orcid.org/0000-0001-6416-4707","affiliations":[{"raw_affiliation_string":"State Key Lab. LIESMARS, Wuhan University, Wuhan, Hubei, China","institution_ids":["https://openalex.org/I4210118728","https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073032922","display_name":"Gui-Song Xia","orcid":"https://orcid.org/0000-0001-7660-6090"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]},{"id":"https://openalex.org/I4210118728","display_name":"State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing","ror":"https://ror.org/02bpap860","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210118728"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Gui-Song Xia","raw_affiliation_strings":["State Key Lab. LIESMARS, School of Computer Science, Wuhan University, Wuhan, Hubei, China"],"raw_orcid":"https://orcid.org/0000-0001-7660-6090","affiliations":[{"raw_affiliation_string":"State Key Lab. LIESMARS, School of Computer Science, Wuhan University, Wuhan, Hubei, China","institution_ids":["https://openalex.org/I37461747","https://openalex.org/I4210118728"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091159460","display_name":"Tianfu Wu","orcid":"https://orcid.org/0000-0001-8911-5506"},"institutions":[{"id":"https://openalex.org/I137902535","display_name":"North Carolina State University","ror":"https://ror.org/04tj63d06","country_code":"US","type":"education","lineage":["https://openalex.org/I137902535"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tianfu Wu","raw_affiliation_strings":["Department of Electrical & Computer Engineering, North Carolina State University, Raleigh, NC, USA"],"raw_orcid":"https://orcid.org/0000-0001-8911-5506","affiliations":[{"raw_affiliation_string":"Department of Electrical & Computer Engineering, North Carolina State University, Raleigh, NC, USA","institution_ids":["https://openalex.org/I137902535"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100673818","display_name":"Liangpei Zhang","orcid":"https://orcid.org/0000-0001-6890-3650"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]},{"id":"https://openalex.org/I4210118728","display_name":"State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing","ror":"https://ror.org/02bpap860","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210118728"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liangpei Zhang","raw_affiliation_strings":["State Key Lab. LIESMARS, Wuhan University, Wuhan, Hubei, China"],"raw_orcid":"https://orcid.org/0000-0001-6890-3650","affiliations":[{"raw_affiliation_string":"State Key Lab. LIESMARS, Wuhan University, Wuhan, Hubei, China","institution_ids":["https://openalex.org/I4210118728","https://openalex.org/I37461747"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001534492","display_name":"Philip H. S. Torr","orcid":null},"institutions":[{"id":"https://openalex.org/I40120149","display_name":"University of Oxford","ror":"https://ror.org/052gg0110","country_code":"GB","type":"education","lineage":["https://openalex.org/I40120149"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Philip H.S. Torr","raw_affiliation_strings":["University of Oxford,, Oxford, United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Oxford,, Oxford, United Kingdom","institution_ids":["https://openalex.org/I40120149"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":7,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.5253,"has_fulltext":false,"cited_by_count":39,"citation_normalized_percentile":{"value":0.86840821,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":99},"biblio":{"volume":"43","issue":"6","first_page":"1998","last_page":"2013"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12549","display_name":"Image and Object Detection Techniques","score":0.9998000264167786,"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"}},"topics":[{"id":"https://openalex.org/T12549","display_name":"Image and Object Detection Techniques","score":0.9998000264167786,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9986000061035156,"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.998199999332428,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/line-segment","display_name":"Line segment","score":0.7461449503898621},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6934488415718079},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6720774173736572},{"id":"https://openalex.org/keywords/attraction","display_name":"Attraction","score":0.6402840614318848},{"id":"https://openalex.org/keywords/line","display_name":"Line (geometry)","score":0.6039801836013794},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.6019308567047119},{"id":"https://openalex.org/keywords/ambiguity","display_name":"Ambiguity","score":0.579666018486023},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5648590326309204},{"id":"https://openalex.org/keywords/edge-detection","display_name":"Edge detection","score":0.44233864545822144},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.4132842719554901},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.41214677691459656},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3789536654949188},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.26408565044403076},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.20147976279258728}],"concepts":[{"id":"https://openalex.org/C182124507","wikidata":"https://www.wikidata.org/wiki/Q166154","display_name":"Line segment","level":2,"score":0.7461449503898621},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6934488415718079},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6720774173736572},{"id":"https://openalex.org/C2778364177","wikidata":"https://www.wikidata.org/wiki/Q2247133","display_name":"Attraction","level":2,"score":0.6402840614318848},{"id":"https://openalex.org/C198352243","wikidata":"https://www.wikidata.org/wiki/Q37105","display_name":"Line (geometry)","level":2,"score":0.6039801836013794},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.6019308567047119},{"id":"https://openalex.org/C2780522230","wikidata":"https://www.wikidata.org/wiki/Q1140419","display_name":"Ambiguity","level":2,"score":0.579666018486023},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5648590326309204},{"id":"https://openalex.org/C193536780","wikidata":"https://www.wikidata.org/wiki/Q1513153","display_name":"Edge detection","level":4,"score":0.44233864545822144},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.4132842719554901},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.41214677691459656},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3789536654949188},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.26408565044403076},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.20147976279258728},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/tpami.2019.2958642","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2019.2958642","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},{"id":"pmid:31831408","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/31831408","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on pattern analysis and machine intelligence","raw_type":null},{"id":"pmh:oai:arXiv.org:1912.09344","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1912.09344","pdf_url":"https://arxiv.org/pdf/1912.09344","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":null,"raw_type":"text"},{"id":"pmh:oai:ora.ox.ac.uk:uuid:7caa5061-69f8-4407-b5b0-c1ab61ba2d53","is_oa":false,"landing_page_url":"https://ora.ox.ac.uk/objects/uuid:7caa5061-69f8-4407-b5b0-c1ab61ba2d53","pdf_url":null,"source":{"id":"https://openalex.org/S4306402636","display_name":"Oxford University Research Archive (ORA) (University of Oxford)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I40120149","host_organization_name":"University of Oxford","host_organization_lineage":["https://openalex.org/I40120149"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Symplectic Elements","raw_type":"Conference item"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1912.09344","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1912.09344","pdf_url":"https://arxiv.org/pdf/1912.09344","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":null,"raw_type":"text"},"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.5899999737739563,"id":"https://metadata.un.org/sdg/11"}],"awards":[{"id":"https://openalex.org/G1203979484","display_name":null,"funder_award_id":"EP/N019474/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"},{"id":"https://openalex.org/G1277543710","display_name":null,"funder_award_id":"EP/M013774/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"},{"id":"https://openalex.org/G2099902736","display_name":null,"funder_award_id":"61771350","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2969037162","display_name":null,"funder_award_id":"61922065","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G348483345","display_name":null,"funder_award_id":"41820104006","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7500496127","display_name":null,"funder_award_id":"IIS-1909644","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G8416736120","display_name":null,"funder_award_id":"Seebibyte EP/M013774/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322725","display_name":"China Scholarship Council","ror":"https://ror.org/04atp4p48"},{"id":"https://openalex.org/F4320334627","display_name":"Engineering and Physical Sciences Research Council","ror":"https://ror.org/0439y7842"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":67,"referenced_works":["https://openalex.org/W22745672","https://openalex.org/W418579443","https://openalex.org/W845365781","https://openalex.org/W1238092070","https://openalex.org/W1498183729","https://openalex.org/W1522301498","https://openalex.org/W1665214252","https://openalex.org/W1836465849","https://openalex.org/W1901129140","https://openalex.org/W1903029394","https://openalex.org/W1944585701","https://openalex.org/W1964005581","https://openalex.org/W1978295261","https://openalex.org/W2003370853","https://openalex.org/W2020429267","https://openalex.org/W2035990954","https://openalex.org/W2039037930","https://openalex.org/W2049783800","https://openalex.org/W2057710539","https://openalex.org/W2060100653","https://openalex.org/W2068083483","https://openalex.org/W2068397385","https://openalex.org/W2071356085","https://openalex.org/W2082043827","https://openalex.org/W2085975040","https://openalex.org/W2105548357","https://openalex.org/W2119688524","https://openalex.org/W2119823327","https://openalex.org/W2123042594","https://openalex.org/W2123045220","https://openalex.org/W2145023731","https://openalex.org/W2145158371","https://openalex.org/W2155487652","https://openalex.org/W2155912251","https://openalex.org/W2160072137","https://openalex.org/W2193950854","https://openalex.org/W2194775991","https://openalex.org/W2473967151","https://openalex.org/W2483076098","https://openalex.org/W2560622558","https://openalex.org/W2574253917","https://openalex.org/W2594098573","https://openalex.org/W2604612225","https://openalex.org/W2616866739","https://openalex.org/W2737353725","https://openalex.org/W2755226765","https://openalex.org/W2795080186","https://openalex.org/W2798943056","https://openalex.org/W2913455019","https://openalex.org/W2953809838","https://openalex.org/W2962717701","https://openalex.org/W2962803021","https://openalex.org/W2963382180","https://openalex.org/W2963627347","https://openalex.org/W2964121744","https://openalex.org/W2964309882","https://openalex.org/W4241071816","https://openalex.org/W4300070273","https://openalex.org/W6627976337","https://openalex.org/W6631190155","https://openalex.org/W6637242042","https://openalex.org/W6638667902","https://openalex.org/W6639824700","https://openalex.org/W6677995690","https://openalex.org/W6696310042","https://openalex.org/W6748481559","https://openalex.org/W6749398479"],"related_works":["https://openalex.org/W4386786398","https://openalex.org/W2138293586","https://openalex.org/W4282832460","https://openalex.org/W4319783074","https://openalex.org/W4255464147","https://openalex.org/W2080052720","https://openalex.org/W1503179180","https://openalex.org/W4319778501","https://openalex.org/W2171384148","https://openalex.org/W3080403000"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"regional":[3,32],"attraction":[4,33,59,85],"of":[5,14,22,70,75,121,137,146],"line":[6,15,27,39,51,71,99],"segment":[7,16,28,52],"maps,":[8],"and":[9,41,113,130],"hereby":[10],"poses":[11],"the":[12,30,36,44,50,105,110,118,127,131,135,149,153],"problem":[13,21],"detection":[17],"(LSD)":[18],"as":[19],"a":[20,26,68,94],"region":[23],"coloring.":[24],"Given":[25],"map,":[29],"proposed":[31,106],"first":[34],"establishes":[35],"relationship":[37],"between":[38],"segments":[40,72],"regions":[42],"in":[43],"image":[45],"lattice.":[46],"Based":[47],"on":[48,117,126,148],"this,":[49],"map":[53,61],"is":[54],"equivalently":[55],"transformed":[56],"to":[57,67,83,97],"an":[58,80,144],"field":[60,86],"(AFM),":[62],"which":[63],"can":[64],"be":[65],"remapped":[66],"set":[69],"without":[73],"loss":[74],"information.":[76],"Accordingly,":[77],"we":[78,142],"develop":[79],"end-to-end":[81],"framework":[82],"learn":[84],"maps":[87],"for":[88],"raw":[89],"input":[90],"images,":[91],"followed":[92],"by":[93,156],"squeeze":[95],"module":[96],"detect":[98],"segments.":[100],"Apart":[101],"from":[102],"existing":[103],"works,":[104],"detector":[107],"properly":[108],"handles":[109],"local":[111],"ambiguity":[112],"does":[114],"not":[115],"rely":[116],"accurate":[119],"identification":[120],"edge":[122],"pixels.":[123],"Comprehensive":[124],"experiments":[125],"Wireframe":[128,150],"dataset":[129,133],"YorkUrban":[132],"demonstrate":[134],"superiority":[136],"our":[138],"method.":[139],"In":[140],"particular,":[141],"achieve":[143],"F-measure":[145],"0.831":[147],"dataset,":[151],"advancing":[152],"state-of-the-art":[154],"performance":[155],"10.3":[157],"percent.":[158]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":8},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":6}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}