{"id":"https://openalex.org/W3004144522","doi":"https://doi.org/10.1109/iros40897.2019.8967677","title":"Monocular Depth Estimation in New Environments With Absolute Scale","display_name":"Monocular Depth Estimation in New Environments With Absolute Scale","publication_year":2019,"publication_date":"2019-11-01","ids":{"openalex":"https://openalex.org/W3004144522","doi":"https://doi.org/10.1109/iros40897.2019.8967677","mag":"3004144522"},"language":"en","primary_location":{"id":"doi:10.1109/iros40897.2019.8967677","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iros40897.2019.8967677","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)","raw_type":"proceedings-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/A5028133587","display_name":"Tom Roussel","orcid":null},"institutions":[{"id":"https://openalex.org/I99464096","display_name":"KU Leuven","ror":"https://ror.org/05f950310","country_code":"BE","type":"education","lineage":["https://openalex.org/I99464096"]}],"countries":["BE"],"is_corresponding":true,"raw_author_name":"Tom Roussel","raw_affiliation_strings":["KU Leuven"],"affiliations":[{"raw_affiliation_string":"KU Leuven","institution_ids":["https://openalex.org/I99464096"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043846586","display_name":"Luc Van Eycken","orcid":null},"institutions":[{"id":"https://openalex.org/I99464096","display_name":"KU Leuven","ror":"https://ror.org/05f950310","country_code":"BE","type":"education","lineage":["https://openalex.org/I99464096"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Luc Van Eycken","raw_affiliation_strings":["KU Leuven"],"affiliations":[{"raw_affiliation_string":"KU Leuven","institution_ids":["https://openalex.org/I99464096"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5074816094","display_name":"Tinne Tuytelaars","orcid":"https://orcid.org/0000-0003-3307-9723"},"institutions":[{"id":"https://openalex.org/I99464096","display_name":"KU Leuven","ror":"https://ror.org/05f950310","country_code":"BE","type":"education","lineage":["https://openalex.org/I99464096"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Tinne Tuytelaars","raw_affiliation_strings":["KU Leuven"],"affiliations":[{"raw_affiliation_string":"KU Leuven","institution_ids":["https://openalex.org/I99464096"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5028133587"],"corresponding_institution_ids":["https://openalex.org/I99464096"],"apc_list":null,"apc_paid":null,"fwci":0.911,"has_fulltext":false,"cited_by_count":19,"citation_normalized_percentile":{"value":0.79824295,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1735","last_page":"1741"},"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/T10638","display_name":"Optical measurement and interference techniques","score":0.9991999864578247,"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":0.9991999864578247,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/monocular","display_name":"Monocular","score":0.8688660264015198},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7758457660675049},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7225807309150696},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.5908520221710205},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5117056369781494},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4774744510650635},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.43346452713012695},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.41828542947769165},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4181933104991913},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1282193660736084}],"concepts":[{"id":"https://openalex.org/C65909025","wikidata":"https://www.wikidata.org/wiki/Q1945033","display_name":"Monocular","level":2,"score":0.8688660264015198},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7758457660675049},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7225807309150696},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.5908520221710205},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5117056369781494},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4774744510650635},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.43346452713012695},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.41828542947769165},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4181933104991913},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1282193660736084},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/iros40897.2019.8967677","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iros40897.2019.8967677","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)","raw_type":"proceedings-article"},{"id":"pmh:oai:lirias2repo.kuleuven.be:123456789/651781","is_oa":false,"landing_page_url":"https://lirias.kuleuven.be/bitstream/123456789/651781/2/4498_final.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4306401954","display_name":"Lirias (KU Leuven)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I99464096","host_organization_name":"KU Leuven","host_organization_lineage":["https://openalex.org/I99464096"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE/RSJ international conference on intelligent robots and systems - IROS 2019, Macau, China, 4-8 November 2019","raw_type":"info:eu-repo/semantics/publishedVersion"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.8399999737739563}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W603908379","https://openalex.org/W612478963","https://openalex.org/W1836465849","https://openalex.org/W2098171705","https://openalex.org/W2115579991","https://openalex.org/W2171740948","https://openalex.org/W2259424905","https://openalex.org/W2300779272","https://openalex.org/W2340897893","https://openalex.org/W2474281075","https://openalex.org/W2520707372","https://openalex.org/W2535547924","https://openalex.org/W2538522345","https://openalex.org/W2593414960","https://openalex.org/W2606794968","https://openalex.org/W2608112326","https://openalex.org/W2609883120","https://openalex.org/W2808629189","https://openalex.org/W2905561397","https://openalex.org/W2950046465","https://openalex.org/W2951234442","https://openalex.org/W2953139137","https://openalex.org/W2962816904","https://openalex.org/W2963549785","https://openalex.org/W2963583471","https://openalex.org/W2963654727","https://openalex.org/W2963906250","https://openalex.org/W2964020152","https://openalex.org/W2964314455","https://openalex.org/W3100388886","https://openalex.org/W3102327032","https://openalex.org/W6618372016","https://openalex.org/W6638667902","https://openalex.org/W6685261749","https://openalex.org/W6697658144","https://openalex.org/W6744864977","https://openalex.org/W6763867929"],"related_works":["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/W2805523177","https://openalex.org/W2990774877","https://openalex.org/W3093339210","https://openalex.org/W3015037427"],"abstract_inverted_index":{"In":[0],"this":[1],"work":[2],"we":[3,66,89],"propose":[4],"an":[5],"unsupervised":[6,38],"training":[7],"method":[8,70],"that":[9,50],"finetunes":[10],"a":[11,18,48,73,97],"single":[12],"image":[13],"depth":[14,42,130],"estimation":[15],"CNN":[16],"towards":[17],"new":[19],"environment.":[20],"The":[21],"network,":[22],"which":[23],"has":[24,58],"been":[25,60],"pretrained":[26,94],"on":[27,76,118],"stereo":[28,124],"data,":[29],"only":[30],"requires":[31],"monocular":[32],"input":[33],"for":[34,53],"finetuning.":[35],"Unlike":[36],"other":[37],"methods,":[39],"it":[40,111],"produces":[41],"estimations":[43],"with":[44,132],"absolute":[45,137],"scale":[46],"-":[47],"feature":[49],"is":[51,112],"essential":[52],"most":[54],"practical":[55],"applications,":[56],"yet":[57],"mostly":[59],"overlooked":[61],"in":[62,87],"the":[63,91,106,116,119,135],"literature.":[64],"First,":[65],"show":[67,90],"how":[68],"our":[69,109],"allows":[71],"adapting":[72],"network":[74],"trained":[75],"one":[77],"dataset":[78],"(Cityscapes)":[79],"to":[80,96,114],"another":[81],"(KITTI).":[82],"Next,":[83],"by":[84,104],"splitting":[85],"KITTI":[86],"subsets,":[88],"sensitivity":[92],"of":[93,128,134],"models":[95],"domain":[98],"shift.":[99],"We":[100],"then":[101],"demonstrate":[102],"that,":[103],"finetuning":[105],"model":[107],"using":[108,123],"method,":[110],"possible":[113],"improve":[115],"performance":[117],"target":[120],"subset,":[121],"without":[122],"or":[125],"any":[126],"form":[127],"groundtruth":[129],"and":[131],"preservation":[133],"correct":[136],"scale.":[138]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}