{"id":"https://openalex.org/W3046902314","doi":"https://doi.org/10.1109/tits.2020.3008991","title":"Monocular Depth Estimation Using Information Exchange Network","display_name":"Monocular Depth Estimation Using Information Exchange Network","publication_year":2020,"publication_date":"2020-07-28","ids":{"openalex":"https://openalex.org/W3046902314","doi":"https://doi.org/10.1109/tits.2020.3008991","mag":"3046902314"},"language":"en","primary_location":{"id":"doi:10.1109/tits.2020.3008991","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2020.3008991","pdf_url":null,"source":{"id":"https://openalex.org/S144771191","display_name":"IEEE Transactions on Intelligent Transportation Systems","issn_l":"1524-9050","issn":["1524-9050","1558-0016"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["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 Intelligent Transportation Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5084471344","display_name":"Wen Su","orcid":"https://orcid.org/0000-0001-6787-4384"},"institutions":[{"id":"https://openalex.org/I1328775524","display_name":"Zhejiang Sci-Tech University","ror":"https://ror.org/03893we55","country_code":"CN","type":"education","lineage":["https://openalex.org/I1328775524"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wen Su","raw_affiliation_strings":["Faculty of Mechanical Engineering and Automation, Zhejiang Sci-Tech University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0001-6787-4384","affiliations":[{"raw_affiliation_string":"Faculty of Mechanical Engineering and Automation, Zhejiang Sci-Tech University, Hangzhou, China","institution_ids":["https://openalex.org/I1328775524"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100399667","display_name":"Haifeng Zhang","orcid":"https://orcid.org/0000-0002-3812-1479"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haifeng Zhang","raw_affiliation_strings":["University of Science and Technology of China, Hefei, China"],"raw_orcid":"https://orcid.org/0000-0002-3812-1479","affiliations":[{"raw_affiliation_string":"University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087193137","display_name":"Quan Zhou","orcid":"https://orcid.org/0000-0002-7894-7929"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Quan Zhou","raw_affiliation_strings":["National Engineering Research Center of Communications and Networking, Nanjing University of Posts and Telecommunications, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0002-7894-7929","affiliations":[{"raw_affiliation_string":"National Engineering Research Center of Communications and Networking, Nanjing University of Posts and Telecommunications, Nanjing, China","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049468597","display_name":"Wenzhen Yang","orcid":"https://orcid.org/0000-0002-0068-1497"},"institutions":[{"id":"https://openalex.org/I1328775524","display_name":"Zhejiang Sci-Tech University","ror":"https://ror.org/03893we55","country_code":"CN","type":"education","lineage":["https://openalex.org/I1328775524"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenzhen Yang","raw_affiliation_strings":["Faculty of Mechanical Engineering and Automation, Zhejiang Sci-Tech University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-0068-1497","affiliations":[{"raw_affiliation_string":"Faculty of Mechanical Engineering and Automation, Zhejiang Sci-Tech University, Hangzhou, China","institution_ids":["https://openalex.org/I1328775524"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103123751","display_name":"Zengfu Wang","orcid":"https://orcid.org/0000-0003-1859-900X"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zengfu Wang","raw_affiliation_strings":["University of Science and Technology of China, Hefei, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.2458,"has_fulltext":false,"cited_by_count":17,"citation_normalized_percentile":{"value":0.82250661,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"22","issue":"6","first_page":"3491","last_page":"3503"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":1.0,"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":1.0,"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/T10638","display_name":"Optical measurement and interference techniques","score":0.9973000288009644,"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/monocular","display_name":"Monocular","score":0.7593746185302734},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7464408874511719},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.674493670463562},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6673081517219543},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5911697149276733},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5680498480796814},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.5241190195083618},{"id":"https://openalex.org/keywords/information-exchange","display_name":"Information exchange","score":0.5240969061851501},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.47950392961502075},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4483802914619446},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4416843056678772},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4345114529132843},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4149588346481323},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.1070546805858612}],"concepts":[{"id":"https://openalex.org/C65909025","wikidata":"https://www.wikidata.org/wiki/Q1945033","display_name":"Monocular","level":2,"score":0.7593746185302734},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7464408874511719},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.674493670463562},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6673081517219543},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5911697149276733},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5680498480796814},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.5241190195083618},{"id":"https://openalex.org/C189693848","wikidata":"https://www.wikidata.org/wiki/Q6031064","display_name":"Information exchange","level":2,"score":0.5240969061851501},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.47950392961502075},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4483802914619446},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4416843056678772},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4345114529132843},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4149588346481323},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.1070546805858612},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","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/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tits.2020.3008991","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2020.3008991","pdf_url":null,"source":{"id":"https://openalex.org/S144771191","display_name":"IEEE Transactions on Intelligent Transportation Systems","issn_l":"1524-9050","issn":["1524-9050","1558-0016"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["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 Intelligent Transportation Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.5099999904632568,"id":"https://metadata.un.org/sdg/11"}],"awards":[{"id":"https://openalex.org/G7189934397","display_name":null,"funder_award_id":"2018YFB1004901","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"}],"funders":[{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":57,"referenced_works":["https://openalex.org/W125693051","https://openalex.org/W801273237","https://openalex.org/W1486646730","https://openalex.org/W1625224236","https://openalex.org/W1803059841","https://openalex.org/W1903029394","https://openalex.org/W1905829557","https://openalex.org/W1915250530","https://openalex.org/W1915485278","https://openalex.org/W1969366022","https://openalex.org/W1979730211","https://openalex.org/W1992178727","https://openalex.org/W2020762599","https://openalex.org/W2026203852","https://openalex.org/W2074254947","https://openalex.org/W2083047701","https://openalex.org/W2124907686","https://openalex.org/W2125310925","https://openalex.org/W2132947399","https://openalex.org/W2139905387","https://openalex.org/W2150066425","https://openalex.org/W2151698683","https://openalex.org/W2151996626","https://openalex.org/W2156094778","https://openalex.org/W2158211626","https://openalex.org/W2171481071","https://openalex.org/W2171740948","https://openalex.org/W2194775991","https://openalex.org/W2300779272","https://openalex.org/W2412782625","https://openalex.org/W2422409530","https://openalex.org/W2436453945","https://openalex.org/W2520707372","https://openalex.org/W2593414960","https://openalex.org/W2605938684","https://openalex.org/W2796048785","https://openalex.org/W2803168974","https://openalex.org/W2889002172","https://openalex.org/W2897203992","https://openalex.org/W2901707509","https://openalex.org/W2914232966","https://openalex.org/W2948647700","https://openalex.org/W2951234442","https://openalex.org/W2955058313","https://openalex.org/W2962741876","https://openalex.org/W2962807621","https://openalex.org/W2963488291","https://openalex.org/W2963591054","https://openalex.org/W2963881378","https://openalex.org/W2964014680","https://openalex.org/W2969556351","https://openalex.org/W4289283268","https://openalex.org/W6678569853","https://openalex.org/W6683067110","https://openalex.org/W6685261749","https://openalex.org/W6755647638","https://openalex.org/W6756392615"],"related_works":["https://openalex.org/W4293226380","https://openalex.org/W200819717","https://openalex.org/W2032269556","https://openalex.org/W2944448661","https://openalex.org/W2064421702","https://openalex.org/W1991834176","https://openalex.org/W4253756925","https://openalex.org/W4313906399","https://openalex.org/W2805523177","https://openalex.org/W4321487865"],"abstract_inverted_index":{"Depth":[0],"estimation":[1,69,151],"from":[2,30,58],"single":[3],"monocular":[4,67],"image":[5,32],"attracts":[6],"increasing":[7],"attention":[8,111],"in":[9,155],"autonomous":[10],"driving":[11],"and":[12,93,120,138,149,175],"computer":[13],"vision.":[14],"While":[15],"most":[16],"existing":[17],"approaches":[18,56],"regress":[19],"depth":[20,24,36,68],"values":[21],"or":[22],"classify":[23],"labels":[25],"based":[26,55],"on":[27,171],"features":[28,89,95],"extracted":[29],"limited":[31],"area,":[33],"the":[34,84,122,133,143,150,164,172,183],"resulting":[35],"maps":[37,119],"are":[38],"still":[39],"perceptually":[40],"unsatisfying.":[41],"Neither":[42],"local":[43,97],"context":[44,92,98],"nor":[45],"low-level":[46],"semantic":[47],"information":[48,73,103],"is":[49,113,130],"sufficient":[50],"to":[51,115],"predict":[52],"depth.":[53],"Learning":[54],"suffer":[57],"inherent":[59],"defects":[60],"of":[61,125,135,160,166],"supervision":[62,134],"signals.":[63],"This":[64],"paper":[65],"addresses":[66],"with":[70,102,182],"a":[71,80],"general":[72],"exchange":[74,104],"convolutional":[75],"neural":[76],"network.":[77,85],"We":[78],"maintain":[79],"high-resolution":[81],"prediction":[82],"throughout":[83],"Meanwhile,":[86],"both":[87],"low-resolution":[88],"capturing":[90],"long-range":[91],"fine-grained":[94],"describing":[96],"can":[99,152],"be":[100,153],"refined":[101],"path":[105],"stage":[106],"by":[107],"stage.":[108],"Mutual":[109],"channel":[110],"mechanism":[112],"applied":[114],"emphasize":[116],"interdependent":[117],"feature":[118,123],"improve":[121],"representation":[124],"specific":[126],"semantics.":[127],"The":[128,158],"network":[129],"trained":[131],"under":[132],"improved":[136],"log-cosh":[137],"gradient":[139],"constraints":[140],"so":[141],"that":[142],"abnormal":[144],"predictions":[145],"have":[146],"less":[147],"impacts":[148],"consistent":[154],"high":[156],"order.":[157],"results":[159,180],"ablation":[161],"studies":[162],"verify":[163],"efficiency":[165],"every":[167],"proposed":[168],"components.":[169],"Experiments":[170],"popular":[173],"indoor":[174],"street-view":[176],"datasets":[177],"show":[178],"competitive":[179],"compared":[181],"recent":[184],"state-of-the-art":[185],"approaches.":[186]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}