{"id":"https://openalex.org/W4290861477","doi":"https://doi.org/10.1007/s41019-022-00192-6","title":"Toward Enhancing Room Layout Estimation by Feature Pyramid Networks","display_name":"Toward Enhancing Room Layout Estimation by Feature Pyramid Networks","publication_year":2022,"publication_date":"2022-08-12","ids":{"openalex":"https://openalex.org/W4290861477","doi":"https://doi.org/10.1007/s41019-022-00192-6"},"language":"en","primary_location":{"id":"doi:10.1007/s41019-022-00192-6","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s41019-022-00192-6","pdf_url":"https://link.springer.com/content/pdf/10.1007/s41019-022-00192-6.pdf","source":{"id":"https://openalex.org/S2486411021","display_name":"Data Science and Engineering","issn_l":"2364-1185","issn":["2364-1185","2364-1541"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Data Science and Engineering","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://link.springer.com/content/pdf/10.1007/s41019-022-00192-6.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5041920696","display_name":"Aopeng Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I159389169","display_name":"Ningbo University of Technology","ror":"https://ror.org/037dym702","country_code":"CN","type":"education","lineage":["https://openalex.org/I159389169"]},{"id":"https://openalex.org/I4210143969","display_name":"Ningbo Polytechnic","ror":"https://ror.org/04c154n61","country_code":"CN","type":"education","lineage":["https://openalex.org/I1327237609","https://openalex.org/I4210127390","https://openalex.org/I4210143969"]},{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Aopeng Wang","raw_affiliation_strings":["Polytechnic Institute, Zhejiang University, Ningbo, China","School of Computer and Data Engineering, NingboTech University, Ningbo, China"],"affiliations":[{"raw_affiliation_string":"Polytechnic Institute, Zhejiang University, Ningbo, China","institution_ids":["https://openalex.org/I4210143969","https://openalex.org/I76130692"]},{"raw_affiliation_string":"School of Computer and Data Engineering, NingboTech University, Ningbo, China","institution_ids":["https://openalex.org/I159389169"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004608350","display_name":"Shiting Wen","orcid":"https://orcid.org/0000-0002-2055-2553"},"institutions":[{"id":"https://openalex.org/I159389169","display_name":"Ningbo University of Technology","ror":"https://ror.org/037dym702","country_code":"CN","type":"education","lineage":["https://openalex.org/I159389169"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Shiting Wen","raw_affiliation_strings":["School of Computer and Data Engineering, NingboTech University, Ningbo, China"],"affiliations":[{"raw_affiliation_string":"School of Computer and Data Engineering, NingboTech University, Ningbo, China","institution_ids":["https://openalex.org/I159389169"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006238145","display_name":"Yunjun Gao","orcid":"https://orcid.org/0000-0003-3816-8450"},"institutions":[{"id":"https://openalex.org/I168879160","display_name":"Zhejiang University of Science and Technology","ror":"https://ror.org/05mx0wr29","country_code":"CN","type":"education","lineage":["https://openalex.org/I168879160"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yunjun Gao","raw_affiliation_strings":["School of Computer Science and Technology, Zhejiang University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I168879160"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100404176","display_name":"Qing Li","orcid":"https://orcid.org/0000-0003-3370-471X"},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Qing Li","raw_affiliation_strings":["Department of Computing, The Hong Kong Polytechnic University, Hong Kong, China"],"affiliations":[{"raw_affiliation_string":"Department of Computing, The Hong Kong Polytechnic University, Hong Kong, China","institution_ids":["https://openalex.org/I14243506"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101668440","display_name":"Ke Deng","orcid":"https://orcid.org/0000-0002-1008-2498"},"institutions":[{"id":"https://openalex.org/I82951845","display_name":"RMIT University","ror":"https://ror.org/04ttjf776","country_code":"AU","type":"education","lineage":["https://openalex.org/I82951845"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Ke Deng","raw_affiliation_strings":["School of Science, RMIT University, Melbourne, Australia"],"affiliations":[{"raw_affiliation_string":"School of Science, RMIT University, Melbourne, Australia","institution_ids":["https://openalex.org/I82951845"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5068251664","display_name":"Chaoyi Pang","orcid":"https://orcid.org/0000-0001-7038-3789"},"institutions":[{"id":"https://openalex.org/I159389169","display_name":"Ningbo University of Technology","ror":"https://ror.org/037dym702","country_code":"CN","type":"education","lineage":["https://openalex.org/I159389169"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chaoyi Pang","raw_affiliation_strings":["School of Computer and Data Engineering, NingboTech University, Ningbo, China"],"affiliations":[{"raw_affiliation_string":"School of Computer and Data Engineering, NingboTech University, Ningbo, China","institution_ids":["https://openalex.org/I159389169"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5004608350"],"corresponding_institution_ids":["https://openalex.org/I159389169"],"apc_list":null,"apc_paid":null,"fwci":0.3063,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.5436471,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"7","issue":"3","first_page":"213","last_page":"224"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9983999729156494,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9983999729156494,"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":0.9944999814033508,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9891999959945679,"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":0.8785642981529236},{"id":"https://openalex.org/keywords/pyramid","display_name":"Pyramid (geometry)","score":0.7760733366012573},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.707811713218689},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.6861758232116699},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6324823498725891},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.617628812789917},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.5433242917060852},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.49332085251808167},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.47181475162506104},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.35076141357421875},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3368738889694214},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08370232582092285}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8785642981529236},{"id":"https://openalex.org/C142575187","wikidata":"https://www.wikidata.org/wiki/Q3358290","display_name":"Pyramid (geometry)","level":2,"score":0.7760733366012573},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.707811713218689},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.6861758232116699},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6324823498725891},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.617628812789917},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.5433242917060852},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49332085251808167},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.47181475162506104},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.35076141357421875},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3368738889694214},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08370232582092285},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1007/s41019-022-00192-6","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s41019-022-00192-6","pdf_url":"https://link.springer.com/content/pdf/10.1007/s41019-022-00192-6.pdf","source":{"id":"https://openalex.org/S2486411021","display_name":"Data Science and Engineering","issn_l":"2364-1185","issn":["2364-1185","2364-1541"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Data Science and Engineering","raw_type":"journal-article"},{"id":"pmh:oai:ira.lib.polyu.edu.hk:10397/101822","is_oa":true,"landing_page_url":"http://hdl.handle.net/10397/101822","pdf_url":"http://ira.lib.polyu.edu.hk/bitstream/10397/101822/1/s41019-022-00192-6.pdf","source":{"id":"https://openalex.org/S4306400205","display_name":"PolyU Institutional Research Archive (Hong Kong Polytechnic University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I14243506","host_organization_name":"Hong Kong Polytechnic University","host_organization_lineage":["https://openalex.org/I14243506"],"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":"Journal/Magazine Article"},{"id":"pmh:oai:figshare.com:article/27561708","is_oa":true,"landing_page_url":"https://figshare.com/articles/journal_contribution/Toward_Enhancing_Room_Layout_Estimation_by_Feature_Pyramid_Networks/27561708","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":"","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.1007/s41019-022-00192-6","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s41019-022-00192-6","pdf_url":"https://link.springer.com/content/pdf/10.1007/s41019-022-00192-6.pdf","source":{"id":"https://openalex.org/S2486411021","display_name":"Data Science and Engineering","issn_l":"2364-1185","issn":["2364-1185","2364-1541"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Data Science and Engineering","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","score":0.41999998688697815,"display_name":"Industry, innovation and infrastructure"}],"awards":[{"id":"https://openalex.org/G3305670148","display_name":null,"funder_award_id":"2021Z019","funder_id":"https://openalex.org/F4320324778","funder_display_name":"Ningbo Municipal Bureau of Science and Technology"},{"id":"https://openalex.org/G5658983651","display_name":null,"funder_award_id":"61802344","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320324778","display_name":"Ningbo Municipal Bureau of Science and Technology","ror":"https://ror.org/00gskyj95"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4290861477.pdf","grobid_xml":"https://content.openalex.org/works/W4290861477.grobid-xml"},"referenced_works_count":20,"referenced_works":["https://openalex.org/W2017814585","https://openalex.org/W2018299767","https://openalex.org/W2110764733","https://openalex.org/W2112255529","https://openalex.org/W2168439642","https://openalex.org/W2199215860","https://openalex.org/W2439650069","https://openalex.org/W2534523274","https://openalex.org/W2549139847","https://openalex.org/W2565639579","https://openalex.org/W2598108580","https://openalex.org/W2910628332","https://openalex.org/W2945747575","https://openalex.org/W2962717701","https://openalex.org/W2962966483","https://openalex.org/W2963351448","https://openalex.org/W2963591013","https://openalex.org/W2963881378","https://openalex.org/W2964030239","https://openalex.org/W3025487586"],"related_works":["https://openalex.org/W1504288058","https://openalex.org/W2577364290","https://openalex.org/W2331674254","https://openalex.org/W2167293474","https://openalex.org/W3042897387","https://openalex.org/W2048505601","https://openalex.org/W2017205855","https://openalex.org/W2979079341","https://openalex.org/W2358403311","https://openalex.org/W2031347084"],"abstract_inverted_index":{"Abstract":[0],"As":[1],"a":[2,29,32,196],"fundamental":[3],"part":[4],"of":[5,11,28,82,90,102],"indoor":[6,12],"scene":[7],"understanding,":[8],"the":[9,26,79,88,95,100,127,139,172,188],"research":[10],"room":[13,30,202],"layout":[14,203],"estimation":[15,204],"has":[16,122],"attracted":[17],"much":[18],"attention":[19],"recently.":[20],"The":[21,65],"task":[22,42],"is":[23,106,145,176],"to":[24,58,71,113],"predict":[25],"structure":[27],"from":[31],"single":[33],"image.":[34],"In":[35],"this":[36,41,60],"paper,":[37],"we":[38],"illustrate":[39],"that":[40],"can":[43,77],"be":[44],"well":[45],"solved":[46],"even":[47],"without":[48],"sophisticated":[49],"post-processing":[50],"program,":[51],"by":[52,86,108],"adopting":[53],"Feature":[54],"Pyramid":[55],"Networks":[56],"(FPN)":[57],"solve":[59],"problem":[61],"with":[62,138,159],"adaptive":[63],"changes.":[64],"proposed":[66],"model":[67],"employs":[68],"two":[69,146],"strategies":[70],"deliver":[72],"quality":[73],"output.":[74,119],"First,":[75],"it":[76],"predicts":[78],"coarse":[80],"positions":[81],"key":[83,92,162,184],"points":[84,93],"correctly":[85],"preserving":[87],"order":[89],"these":[91],"in":[94],"data":[96],"augmentation":[97],"stage.":[98],"Then":[99],"coordinate":[101],"each":[103,110],"corner":[104,111],"point":[105,112,163,185],"refined":[107],"moving":[109],"its":[114,155],"nearest":[115],"image":[116],"boundary":[117],"as":[118],"Our":[120],"method":[121,144,175,195],"demonstrated":[123],"great":[124],"performance":[125],"on":[126,131,183],"benchmark":[128],"LSUN":[129],"dataset":[130],"both":[132],"processing":[133,150],"efficiency":[134,190],"and":[135,165,191],"accuracy.":[136],"Compared":[137],"state-of-the-art":[140],"end-to-end":[141],"method,":[142],"our":[143,181,194],"times":[147],"faster":[148],"at":[149],"speed":[151,156],"(32":[152],"ms)":[153],"than":[154,180],"(86":[157],"ms),":[158],"0.71%":[160],"lower":[161],"error":[164,169],"0.2%":[166],"higher":[167],"pixel":[168],"respectively.":[170],"Besides,":[171],"advanced":[173],"two-step":[174],"only":[177],"0.02%":[178],"better":[179],"result":[182],"error.":[186],"Both":[187],"high":[189],"accuracy":[192],"make":[193],"good":[197],"choice":[198],"for":[199],"some":[200],"real-time":[201],"tasks.":[205]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2023,"cited_by_count":1}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
