{"id":"https://openalex.org/W3011103829","doi":"https://doi.org/10.5220/0009190005830589","title":"Towards Keypoint Guided Self-Supervised Depth Estimation","display_name":"Towards Keypoint Guided Self-Supervised Depth Estimation","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3011103829","doi":"https://doi.org/10.5220/0009190005830589","mag":"3011103829"},"language":"en","primary_location":{"id":"doi:10.5220/0009190005830589","is_oa":true,"landing_page_url":"https://doi.org/10.5220/0009190005830589","pdf_url":null,"source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications","raw_type":"proceedings-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.5220/0009190005830589","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Kristijan Bartol","orcid":null},"institutions":[{"id":"https://openalex.org/I181343428","display_name":"University of Zagreb","ror":"https://ror.org/00mv6sv71","country_code":"HR","type":"education","lineage":["https://openalex.org/I181343428"]}],"countries":["HR"],"is_corresponding":true,"raw_author_name":"Kristijan Bartol","raw_affiliation_strings":["University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, Croatia, --- Select a Country ---"],"affiliations":[{"raw_affiliation_string":"University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, Croatia, --- Select a Country ---","institution_ids":["https://openalex.org/I181343428"]}]},{"author_position":"middle","author":{"id":null,"display_name":"David Bojani\u0107","orcid":null},"institutions":[{"id":"https://openalex.org/I181343428","display_name":"University of Zagreb","ror":"https://ror.org/00mv6sv71","country_code":"HR","type":"education","lineage":["https://openalex.org/I181343428"]}],"countries":["HR"],"is_corresponding":false,"raw_author_name":"David Bojani\u0107","raw_affiliation_strings":["University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, Croatia, --- Select a Country ---"],"affiliations":[{"raw_affiliation_string":"University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, Croatia, --- Select a Country ---","institution_ids":["https://openalex.org/I181343428"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Tomislav Petkovi\u0107","orcid":null},"institutions":[{"id":"https://openalex.org/I181343428","display_name":"University of Zagreb","ror":"https://ror.org/00mv6sv71","country_code":"HR","type":"education","lineage":["https://openalex.org/I181343428"]}],"countries":["HR"],"is_corresponding":false,"raw_author_name":"Tomislav Petkovi\u0107","raw_affiliation_strings":["University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, Croatia, --- Select a Country ---"],"affiliations":[{"raw_affiliation_string":"University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, Croatia, --- Select a Country ---","institution_ids":["https://openalex.org/I181343428"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Tomislav Pribani\u0107","orcid":null},"institutions":[{"id":"https://openalex.org/I181343428","display_name":"University of Zagreb","ror":"https://ror.org/00mv6sv71","country_code":"HR","type":"education","lineage":["https://openalex.org/I181343428"]}],"countries":["HR"],"is_corresponding":false,"raw_author_name":"Tomislav Pribani\u0107","raw_affiliation_strings":["University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, Croatia, --- Select a Country ---"],"affiliations":[{"raw_affiliation_string":"University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, Croatia, --- Select a Country ---","institution_ids":["https://openalex.org/I181343428"]}]},{"author_position":"last","author":{"id":null,"display_name":"Yago Donoso","orcid":null},"institutions":[{"id":"https://openalex.org/I112524849","display_name":"Yamagata University","ror":"https://ror.org/00xy44n04","country_code":"JP","type":"education","lineage":["https://openalex.org/I112524849"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yago Donoso","raw_affiliation_strings":["Yamagata University, Faculty of Science, Yamagata, Japan, --- Select a Country ---"],"affiliations":[{"raw_affiliation_string":"Yamagata University, Faculty of Science, Yamagata, Japan, --- Select a Country ---","institution_ids":["https://openalex.org/I112524849"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I181343428"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.02047668,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"583","last_page":"589"},"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":0.9979000091552734,"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":0.9945999979972839,"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/image","display_name":"Image (mathematics)","score":0.5974000096321106},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5598000288009644},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4936000108718872},{"id":"https://openalex.org/keywords/ground-truth","display_name":"Ground truth","score":0.4887999892234802},{"id":"https://openalex.org/keywords/estimation","display_name":"Estimation","score":0.4138999879360199},{"id":"https://openalex.org/keywords/unsupervised-learning","display_name":"Unsupervised learning","score":0.3736000061035156}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7803000211715698},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5974000096321106},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5946999788284302},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5598000288009644},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5181000232696533},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4936000108718872},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.4887999892234802},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.4138999879360199},{"id":"https://openalex.org/C8038995","wikidata":"https://www.wikidata.org/wiki/Q1152135","display_name":"Unsupervised learning","level":2,"score":0.3736000061035156},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.32249999046325684},{"id":"https://openalex.org/C141268832","wikidata":"https://www.wikidata.org/wiki/Q2940499","display_name":"Depth map","level":3,"score":0.30570000410079956},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2964000105857849},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.2890999913215637}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.5220/0009190005830589","is_oa":true,"landing_page_url":"https://doi.org/10.5220/0009190005830589","pdf_url":null,"source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2011.03091","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2011.03091","pdf_url":"https://arxiv.org/pdf/2011.03091","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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"doi:10.5220/0009190005830589","is_oa":true,"landing_page_url":"https://doi.org/10.5220/0009190005830589","pdf_url":null,"source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"to":[3,30,39,57,99],"use":[4,51],"keypoints":[5,103,114,120,145],"as":[6],"a":[7,16,130],"self-supervision":[8],"clue":[9],"for":[10,157],"learning":[11,129,159],"depth":[12,24,40,52,148],"map":[13,53],"estimation":[14,41,149],"from":[15,25,61,69],"collection":[17],"of":[18,47,92,115,160],"input":[19],"images.":[20,118],"As":[21],"ground":[22],"truth":[23],"real":[26],"images":[27,106],"is":[28],"difficult":[29],"obtain,":[31],"there":[32],"are":[33,77],"many":[34],"unsupervised":[35,49],"and":[36,54,74,88,107,110,134],"self-supervised":[37],"approaches":[38,50],"that":[42,142],"have":[43],"been":[44],"proposed.":[45],"Most":[46],"these":[48],"ego-motion":[55,75],"estimations":[56,76],"reproject":[58,109],"the":[59,62,66,70,85,94,112,116,123,136,144,147],"pixels":[60],"current":[63],"image":[64,68,71,102,125],"into":[65],"adjacent":[67],"collection.":[72],"Depth":[73],"evaluated":[78],"based":[79],"on":[80],"pixel":[81],"intensity":[82],"differences":[83],"between":[84],"correspondent":[86,113],"original":[87],"reprojected":[89],"pixels.":[90],"Instead":[91],"reprojecting":[93],"individual":[95],"pixels,":[96],"we":[97,140],"propose":[98,153],"first":[100],"select":[101],"in":[104],"both":[105],"then":[108],"compare":[111],"two":[117],"The":[119],"should":[121],"describe":[122],"distinctive":[124],"features":[126],"well.":[127],"By":[128],"deep":[131],"model":[132],"with":[133],"without":[135],"keypoint":[137],"extraction":[138],"technique,":[139],"show":[141],"using":[143],"improve":[146],"learning.":[150],"We":[151],"also":[152],"some":[154],"future":[155],"directions":[156],"keypoint-guided":[158],"structure-from-motion":[161],"problems.":[162]},"counts_by_year":[],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2020-03-23T00:00:00"}