{"id":"https://openalex.org/W4311387296","doi":"https://doi.org/10.3390/s22249755","title":"An Adaptive Refinement Scheme for Depth Estimation Networks","display_name":"An Adaptive Refinement Scheme for Depth Estimation Networks","publication_year":2022,"publication_date":"2022-12-13","ids":{"openalex":"https://openalex.org/W4311387296","doi":"https://doi.org/10.3390/s22249755","pmid":"https://pubmed.ncbi.nlm.nih.gov/36560124"},"language":"en","primary_location":{"id":"doi:10.3390/s22249755","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s22249755","pdf_url":"https://www.mdpi.com/1424-8220/22/24/9755/pdf?version=1671520184","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1424-8220/22/24/9755/pdf?version=1671520184","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5067583353","display_name":"Amin Alizadeh Naeini","orcid":"https://orcid.org/0000-0001-7578-6245"},"institutions":[{"id":"https://openalex.org/I192455969","display_name":"York University","ror":"https://ror.org/05fq50484","country_code":"CA","type":"education","lineage":["https://openalex.org/I192455969"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Amin Alizadeh Naeini","raw_affiliation_strings":["Department of Earth and Space Science and Engineering, Lassonde School of Engineering, York University, 4700 Keele Street, Toronto, ON M3J1P3, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Earth and Space Science and Engineering, Lassonde School of Engineering, York University, 4700 Keele Street, Toronto, ON M3J1P3, Canada","institution_ids":["https://openalex.org/I192455969"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041649923","display_name":"Mohammad Moein Sheikholeslami","orcid":"https://orcid.org/0000-0003-4592-826X"},"institutions":[{"id":"https://openalex.org/I192455969","display_name":"York University","ror":"https://ror.org/05fq50484","country_code":"CA","type":"education","lineage":["https://openalex.org/I192455969"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Mohammad Moein Sheikholeslami","raw_affiliation_strings":["Department of Earth and Space Science and Engineering, Lassonde School of Engineering, York University, 4700 Keele Street, Toronto, ON M3J1P3, Canada"],"raw_orcid":"https://orcid.org/0000-0003-4592-826X","affiliations":[{"raw_affiliation_string":"Department of Earth and Space Science and Engineering, Lassonde School of Engineering, York University, 4700 Keele Street, Toronto, ON M3J1P3, Canada","institution_ids":["https://openalex.org/I192455969"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5036846355","display_name":"Gunho Sohn","orcid":"https://orcid.org/0000-0002-5127-8358"},"institutions":[{"id":"https://openalex.org/I192455969","display_name":"York University","ror":"https://ror.org/05fq50484","country_code":"CA","type":"education","lineage":["https://openalex.org/I192455969"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Gunho Sohn","raw_affiliation_strings":["Department of Earth and Space Science and Engineering, Lassonde School of Engineering, York University, 4700 Keele Street, Toronto, ON M3J1P3, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Earth and Space Science and Engineering, Lassonde School of Engineering, York University, 4700 Keele Street, Toronto, ON M3J1P3, Canada","institution_ids":["https://openalex.org/I192455969"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5036846355"],"corresponding_institution_ids":["https://openalex.org/I192455969"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2673},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2673},"fwci":0.0811,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.35049199,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"22","issue":"24","first_page":"9755","last_page":"9755"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9998999834060669,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9998999834060669,"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/T11019","display_name":"Image Enhancement Techniques","score":0.9980999827384949,"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/T10638","display_name":"Optical measurement and interference techniques","score":0.9952999949455261,"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/benchmark","display_name":"Benchmark (surveying)","score":0.8252301216125488},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6887784004211426},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.6172141432762146},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.6069096326828003},{"id":"https://openalex.org/keywords/particle-swarm-optimization","display_name":"Particle swarm optimization","score":0.588071346282959},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.5740844011306763},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5086835026741028},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.4906560480594635},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4454687535762787},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.41950374841690063},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.40735113620758057},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3862673044204712},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.16056695580482483}],"concepts":[{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.8252301216125488},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6887784004211426},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.6172141432762146},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.6069096326828003},{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.588071346282959},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.5740844011306763},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5086835026741028},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.4906560480594635},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4454687535762787},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.41950374841690063},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.40735113620758057},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3862673044204712},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16056695580482483},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D019985","descriptor_name":"Benchmarking","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":5,"locations":[{"id":"doi:10.3390/s22249755","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s22249755","pdf_url":"https://www.mdpi.com/1424-8220/22/24/9755/pdf?version=1671520184","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},{"id":"pmid:36560124","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/36560124","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":"Sensors (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:9786650","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/9786650","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors (Basel)","raw_type":"Text"},{"id":"pmh:oai:doaj.org/article:53546baa4ed04cbdb18b149ebc463c08","is_oa":true,"landing_page_url":"https://doaj.org/article/53546baa4ed04cbdb18b149ebc463c08","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors, Vol 22, Iss 24, p 9755 (2022)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1424-8220/22/24/9755/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/s22249755","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"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":"Sensors; Volume 22; Issue 24; Pages: 9755","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/s22249755","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s22249755","pdf_url":"https://www.mdpi.com/1424-8220/22/24/9755/pdf?version=1671520184","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4311387296.pdf"},"referenced_works_count":47,"referenced_works":["https://openalex.org/W125693051","https://openalex.org/W2000359198","https://openalex.org/W2005126631","https://openalex.org/W2097615965","https://openalex.org/W2115579991","https://openalex.org/W2152195021","https://openalex.org/W2475287302","https://openalex.org/W2520707372","https://openalex.org/W2593414960","https://openalex.org/W2603777577","https://openalex.org/W2609883120","https://openalex.org/W2737196286","https://openalex.org/W2776207810","https://openalex.org/W2806446538","https://openalex.org/W2883362496","https://openalex.org/W2891958727","https://openalex.org/W2914242365","https://openalex.org/W2948553897","https://openalex.org/W2950304854","https://openalex.org/W2963265330","https://openalex.org/W2963583471","https://openalex.org/W2964314455","https://openalex.org/W2969202876","https://openalex.org/W2970971581","https://openalex.org/W2971000934","https://openalex.org/W2998031326","https://openalex.org/W3006017979","https://openalex.org/W3034278117","https://openalex.org/W3037743604","https://openalex.org/W3096945436","https://openalex.org/W3100847195","https://openalex.org/W3109128945","https://openalex.org/W3118635606","https://openalex.org/W3128100939","https://openalex.org/W3153295141","https://openalex.org/W3166690018","https://openalex.org/W3174318861","https://openalex.org/W3174397558","https://openalex.org/W3202016623","https://openalex.org/W3205341514","https://openalex.org/W3206074207","https://openalex.org/W3206335707","https://openalex.org/W3206569002","https://openalex.org/W4292870121","https://openalex.org/W6675517641","https://openalex.org/W6767088534","https://openalex.org/W6786385858"],"related_works":["https://openalex.org/W2378211422","https://openalex.org/W4321353415","https://openalex.org/W2745001401","https://openalex.org/W2130974462","https://openalex.org/W2028665553","https://openalex.org/W2086519370","https://openalex.org/W4246352526","https://openalex.org/W2121910908","https://openalex.org/W915438175","https://openalex.org/W4230315250"],"abstract_inverted_index":{"Deep":[0],"learning":[1],"has":[2,46],"proved":[3],"to":[4,49,62,85,91,112],"be":[5],"a":[6,25,33,40,101,122,132,142,149],"breakthrough":[7],"in":[8,36,52,107],"depth":[9,80,92,102,139],"generation.":[10],"However,":[11],"the":[12,37,53,73,87,114,129,138,146,155,181],"generalization":[13],"ability":[14],"of":[15,89],"deep":[16],"networks":[17],"is":[18,105,166,183],"still":[19],"limited,":[20],"and":[21,78,110,163,173],"they":[22],"cannot":[23],"maintain":[24],"satisfactory":[26],"performance":[27],"on":[28,168,185,192],"some":[29],"inputs.":[30],"By":[31],"addressing":[32],"similar":[34],"problem":[35],"segmentation":[38],"field,":[39],"feature":[41],"backpropagating":[42],"refinement":[43,125],"scheme":[44,126,189],"(f-BRS)":[45],"been":[47],"proposed":[48,188],"refine":[50],"predictions":[51],"inference":[54],"time.":[55],"f-BRS":[56,90,159],"adapts":[57],"an":[58,169,174],"intermediate":[59],"activation":[60],"function":[61],"each":[63],"input":[64],"by":[65,141],"using":[66],"user":[67,76],"clicks":[68,77],"as":[69],"sparse":[70,79],"labels.":[71],"Given":[72],"similarity":[74],"between":[75],"maps,":[81],"this":[82],"paper":[83],"aims":[84],"extend":[86],"application":[88],"prediction.":[93],"Our":[94],"experiments":[95],"show":[96],"that":[97],"f-BRS,":[98],"fused":[99],"with":[100],"estimation":[103,156],"baseline,":[104],"trapped":[106],"local":[108],"optima,":[109],"fails":[111],"improve":[113],"network":[115,182],"predictions.":[116],"To":[117],"resolve":[118],"that,":[119],"we":[120],"propose":[121],"double-stage":[123],"adaptive":[124],"(DARS).":[127],"In":[128,145],"first":[130],"stage,":[131,148],"Delaunay-based":[133],"correction":[134],"module":[135],"significantly":[136],"improves":[137],"generated":[140],"baseline":[143],"network.":[144],"second":[147],"particle":[150],"swarm":[151],"optimizer":[152],"(PSO)":[153],"delineates":[154],"through":[157],"fine-tuning":[158],"parameters-that":[160],"is,":[161],"scales":[162],"biases.":[164],"DARS":[165],"evaluated":[167],"outdoor":[170],"benchmark,":[171,176],"KITTI,":[172],"indoor":[175],"NYUv2,":[177],"while":[178],"for":[179],"both,":[180],"pre-trained":[184],"KITTI.":[186],"The":[187],"was":[190],"effective":[191],"both":[193],"datasets.":[194]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2026-08-11T07:18:39.950985","created_date":"2022-12-25T00:00:00"}
