{"id":"https://openalex.org/W4382490823","doi":"https://doi.org/10.48550/arxiv.2306.15035","title":"Optimized Vectorizing of Building Structures with Switch: High-Efficiency Convolutional Channel-Switch Hybridization Strategy","display_name":"Optimized Vectorizing of Building Structures with Switch: High-Efficiency Convolutional Channel-Switch Hybridization Strategy","publication_year":2023,"publication_date":"2023-06-26","ids":{"openalex":"https://openalex.org/W4382490823","doi":"https://doi.org/10.48550/arxiv.2306.15035"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2306.15035","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2306.15035","pdf_url":"https://arxiv.org/pdf/2306.15035","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-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"type":"preprint","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2306.15035","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5031820538","display_name":"Moule Lin","orcid":"https://orcid.org/0000-0001-6227-2392"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Lin, Moule","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074535695","display_name":"Weipeng Jing","orcid":"https://orcid.org/0000-0001-7933-6946"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jing, Weipeng","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100634465","display_name":"Chao Li","orcid":"https://orcid.org/0000-0001-6340-9960"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li, Chao","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5064250130","display_name":"Andr\u00e1s Jung","orcid":"https://orcid.org/0000-0003-3250-4097"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jung, Andr\u00e1s","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5031820538"],"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/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9987000226974487,"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"}},"topics":[{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9987000226974487,"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/T13282","display_name":"Automated Road and Building Extraction","score":0.9972000122070312,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9933000206947327,"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":0.7327027916908264},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.5852326154708862},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5774655938148499},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5457751750946045},{"id":"https://openalex.org/keywords/swap","display_name":"Swap (finance)","score":0.5454405546188354},{"id":"https://openalex.org/keywords/diagonal","display_name":"Diagonal","score":0.5365318059921265},{"id":"https://openalex.org/keywords/architecture","display_name":"Architecture","score":0.530335545539856},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.48172762989997864},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.45969122648239136},{"id":"https://openalex.org/keywords/computer-engineering","display_name":"Computer engineering","score":0.42400991916656494},{"id":"https://openalex.org/keywords/computer-architecture","display_name":"Computer architecture","score":0.38566654920578003},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.33518701791763306},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.31875741481781006},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.1435053050518036},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12485244870185852}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7327027916908264},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.5852326154708862},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5774655938148499},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5457751750946045},{"id":"https://openalex.org/C99821215","wikidata":"https://www.wikidata.org/wiki/Q1136583","display_name":"Swap (finance)","level":2,"score":0.5454405546188354},{"id":"https://openalex.org/C130367717","wikidata":"https://www.wikidata.org/wiki/Q189791","display_name":"Diagonal","level":2,"score":0.5365318059921265},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.530335545539856},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.48172762989997864},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.45969122648239136},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.42400991916656494},{"id":"https://openalex.org/C118524514","wikidata":"https://www.wikidata.org/wiki/Q173212","display_name":"Computer architecture","level":1,"score":0.38566654920578003},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.33518701791763306},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.31875741481781006},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.1435053050518036},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12485244870185852},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"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/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","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/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:2306.15035","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2306.15035","pdf_url":"https://arxiv.org/pdf/2306.15035","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-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},{"id":"doi:10.48550/arxiv.2306.15035","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2306.15035","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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2306.15035","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2306.15035","pdf_url":"https://arxiv.org/pdf/2306.15035","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-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.7599999904632568,"display_name":"Sustainable cities and communities"}],"awards":[{"id":"https://openalex.org/G1121271761","display_name":null,"funder_award_id":"Program","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1231421488","display_name":null,"funder_award_id":"under","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2376276132","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G2476221792","display_name":null,"funder_award_id":"Heilongjiang","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2953162778","display_name":null,"funder_award_id":"TKP2021-NVA","funder_id":"https://openalex.org/F4320335908","funder_display_name":"Nemzeti Kutat\u00e1si, Fejleszt\u00e9si \u00e9s Innovaci\u00f3s Alap"},{"id":"https://openalex.org/G298428782","display_name":null,"funder_award_id":"TKP2021","funder_id":"https://openalex.org/F4320335908","funder_display_name":"Nemzeti Kutat\u00e1si, Fejleszt\u00e9si \u00e9s Innovaci\u00f3s Alap"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4020255992","display_name":null,"funder_award_id":"Project","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4513859222","display_name":null,"funder_award_id":"32171777","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5681058240","display_name":null,"funder_award_id":"2572017PZ04","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G5939423041","display_name":null,"funder_award_id":"Technology","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8304482539","display_name":null,"funder_award_id":"TKP2021-NVA-29","funder_id":"https://openalex.org/F4320335908","funder_display_name":"Nemzeti Kutat\u00e1si, Fejleszt\u00e9si \u00e9s Innovaci\u00f3s Alap"},{"id":"https://openalex.org/G8589651859","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320322725","funder_display_name":"China Scholarship Council"},{"id":"https://openalex.org/G8955107213","display_name":null,"funder_award_id":"Major","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/F4320322725","display_name":"China Scholarship Council","ror":"https://ror.org/04atp4p48"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null},{"id":"https://openalex.org/F4320335908","display_name":"Nemzeti Kutat\u00e1si, Fejleszt\u00e9si \u00e9s Innovaci\u00f3s Alap","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4382490823.pdf","grobid_xml":"https://content.openalex.org/works/W4382490823.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2135584473","https://openalex.org/W614339039","https://openalex.org/W2964223869","https://openalex.org/W4230893873","https://openalex.org/W2792539140","https://openalex.org/W2005808740","https://openalex.org/W2295130398","https://openalex.org/W2064951085","https://openalex.org/W2626141450","https://openalex.org/W3125166754"],"abstract_inverted_index":{"The":[0,68,101],"building":[1,167,173],"planar":[2,168],"graph":[3,169],"reconstruction,":[4,7],"a.k.a.":[5],"footprint":[6],"which":[8,48],"lies":[9],"in":[10,28,33,166],"the":[11,23,45,75,105,115,124,136,148,160],"domain":[12],"of":[13,25,126,150,162],"computer":[14],"vision":[15],"and":[16,40,85,120,155],"geoinformatics,":[17],"has":[18],"been":[19],"long":[20],"afflicted":[21],"with":[22,144],"challenge":[24],"redundant":[26],"parameters":[27,52],"conventional":[29],"convolutional":[30,116],"models.":[31],"Therefore,":[32],"this":[34,163],"letter,":[35],"we":[36],"proposed":[37,131],"an":[38],"advanced":[39],"adaptive":[41],"shift":[42],"architecture,":[43,103],"namely":[44],"Switch":[46,69],"operator,":[47,70],"incorporates":[49,108],"non-exponential":[50],"growth":[51],"while":[53],"retaining":[54],"analogous":[55],"functionalities":[56],"to":[57,78,95],"integrate":[58],"local":[59],"feature":[60],"spatial":[61],"information,":[62],"resembling":[63],"a":[64,91,109,139],"high-dimensional":[65],"convolution":[66,93],"operation.":[67],"cross-channel":[71],"operation,":[72],"architecture":[73,165],"implements":[74],"XOR":[76],"operation":[77,94],"alternately":[79],"exchange":[80],"adjacent":[81],"or":[82],"diagonal":[83],"features,":[84],"then":[86],"blends":[87],"alternating":[88],"channels":[89],"through":[90,133],"1x1":[92],"consolidate":[96],"information":[97],"from":[98,171],"different":[99],"channels.":[100],"SwitchNN":[102],"on":[104,135],"other":[106],"hand,":[107],"group-based":[110],"parameter-sharing":[111],"mechanism":[112],"inspired":[113],"by":[114],"neural":[117],"network":[118],"process":[119],"thereby":[121],"significantly":[122],"reducing":[123],"number":[125],"parameters.":[127],"We":[128],"validated":[129],"our":[130],"approach":[132],"experiments":[134],"SpaceNet":[137],"corpus,":[138],"publicly":[140],"available":[141],"dataset":[142],"annotated":[143],"2,001":[145],"buildings":[146],"across":[147],"cities":[149],"Los":[151],"Angeles,":[152],"Las":[153],"Vegas,":[154],"Paris.":[156],"Our":[157],"results":[158],"demonstrate":[159],"effectiveness":[161],"innovative":[164],"reconstruction":[170],"2D":[172],"images.":[174]},"counts_by_year":[],"updated_date":"2026-04-20T07:46:08.049788","created_date":"2023-06-29T00:00:00"}
