{"id":"https://openalex.org/W3109523970","doi":"https://doi.org/10.1109/access.2020.3036893","title":"Relativistic Approach for Training Self-Supervised Adversarial Depth Prediction Model Using Symmetric Consistency","display_name":"Relativistic Approach for Training Self-Supervised Adversarial Depth Prediction Model Using Symmetric Consistency","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3109523970","doi":"https://doi.org/10.1109/access.2020.3036893","mag":"3109523970"},"language":"en","primary_location":{"id":"doi:10.1109/access.2020.3036893","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3036893","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09252913.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09252913.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5042364727","display_name":"Hyeseung Park","orcid":"https://orcid.org/0000-0003-3564-2479"},"institutions":[{"id":"https://openalex.org/I35886859","display_name":"Korea University of Technology and Education","ror":"https://ror.org/053nycv62","country_code":"KR","type":"education","lineage":["https://openalex.org/I35886859"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Hyeseung Park","raw_affiliation_strings":["Department of Computer Science and Engineering, Korea University of Technology and Education, Cheonan, South Korea"],"raw_orcid":"https://orcid.org/0000-0003-3564-2479","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Korea University of Technology and Education, Cheonan, South Korea","institution_ids":["https://openalex.org/I35886859"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011142411","display_name":"Seung-Chul Park","orcid":null},"institutions":[{"id":"https://openalex.org/I35886859","display_name":"Korea University of Technology and Education","ror":"https://ror.org/053nycv62","country_code":"KR","type":"education","lineage":["https://openalex.org/I35886859"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Seungchul Park","raw_affiliation_strings":["Department of Computer Science and Engineering, Korea University of Technology and Education, Cheonan, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Korea University of Technology and Education, Cheonan, South Korea","institution_ids":["https://openalex.org/I35886859"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5051395190","display_name":"Young Hoon Joo","orcid":"https://orcid.org/0000-0002-4662-1916"},"institutions":[{"id":"https://openalex.org/I35886859","display_name":"Korea University of Technology and Education","ror":"https://ror.org/053nycv62","country_code":"KR","type":"education","lineage":["https://openalex.org/I35886859"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Youngbok Joo","raw_affiliation_strings":["Department of Computer Science and Engineering, Korea University of Technology and Education, Cheonan, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Korea University of Technology and Education, Cheonan, South Korea","institution_ids":["https://openalex.org/I35886859"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5042364727"],"corresponding_institution_ids":["https://openalex.org/I35886859"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.2942,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.5841048,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"8","issue":null,"first_page":"206835","last_page":"206847"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9997000098228455,"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":0.9997000098228455,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9970999956130981,"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":0.9886999726295471,"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":0.8056214451789856},{"id":"https://openalex.org/keywords/discriminator","display_name":"Discriminator","score":0.8008745908737183},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7064507603645325},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.5719877481460571},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5087266564369202},{"id":"https://openalex.org/keywords/overhead","display_name":"Overhead (engineering)","score":0.5031787753105164},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.5004534721374512},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.498976469039917},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.4892432689666748},{"id":"https://openalex.org/keywords/perspective","display_name":"Perspective (graphical)","score":0.46969082951545715},{"id":"https://openalex.org/keywords/generator","display_name":"Generator (circuit theory)","score":0.46722328662872314},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.44162479043006897},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.37068110704421997},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15043240785598755}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8056214451789856},{"id":"https://openalex.org/C2779803651","wikidata":"https://www.wikidata.org/wiki/Q5282088","display_name":"Discriminator","level":3,"score":0.8008745908737183},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7064507603645325},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.5719877481460571},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5087266564369202},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.5031787753105164},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.5004534721374512},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.498976469039917},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.4892432689666748},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.46969082951545715},{"id":"https://openalex.org/C2780992000","wikidata":"https://www.wikidata.org/wiki/Q17016113","display_name":"Generator (circuit theory)","level":3,"score":0.46722328662872314},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.44162479043006897},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.37068110704421997},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15043240785598755},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","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},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2020.3036893","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3036893","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09252913.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:5ba5eeca1e4c4ca6904df0aae52a11a8","is_oa":true,"landing_page_url":"https://doaj.org/article/5ba5eeca1e4c4ca6904df0aae52a11a8","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":"IEEE Access, Vol 8, Pp 206835-206847 (2020)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2020.3036893","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3036893","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09252913.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.6700000166893005,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3109523970.pdf","grobid_xml":"https://content.openalex.org/works/W3109523970.grobid-xml"},"referenced_works_count":70,"referenced_works":["https://openalex.org/W125693051","https://openalex.org/W1522301498","https://openalex.org/W1580389772","https://openalex.org/W1686810756","https://openalex.org/W1776042733","https://openalex.org/W1915250530","https://openalex.org/W1964859077","https://openalex.org/W1992178727","https://openalex.org/W2074254947","https://openalex.org/W2083047701","https://openalex.org/W2099471712","https://openalex.org/W2117539524","https://openalex.org/W2132947399","https://openalex.org/W2133665775","https://openalex.org/W2141983208","https://openalex.org/W2150066425","https://openalex.org/W2150734399","https://openalex.org/W2162033023","https://openalex.org/W2171740948","https://openalex.org/W2194775991","https://openalex.org/W2300779272","https://openalex.org/W2336968928","https://openalex.org/W2340897893","https://openalex.org/W2520707372","https://openalex.org/W2561074213","https://openalex.org/W2562637781","https://openalex.org/W2593414223","https://openalex.org/W2593414960","https://openalex.org/W2609883120","https://openalex.org/W2767981409","https://openalex.org/W2788857104","https://openalex.org/W2810518847","https://openalex.org/W2886322387","https://openalex.org/W2889061519","https://openalex.org/W2890474520","https://openalex.org/W2891158090","https://openalex.org/W2899771611","https://openalex.org/W2913483780","https://openalex.org/W2951234442","https://openalex.org/W2962793481","https://openalex.org/W2962816904","https://openalex.org/W2962835968","https://openalex.org/W2962879692","https://openalex.org/W2963073614","https://openalex.org/W2963265330","https://openalex.org/W2963470893","https://openalex.org/W2963488291","https://openalex.org/W2963517541","https://openalex.org/W2963583471","https://openalex.org/W2963652981","https://openalex.org/W2963654727","https://openalex.org/W2963906250","https://openalex.org/W2964121592","https://openalex.org/W2967550825","https://openalex.org/W2969556351","https://openalex.org/W2980901882","https://openalex.org/W2985775862","https://openalex.org/W3002983225","https://openalex.org/W3017181473","https://openalex.org/W4295521014","https://openalex.org/W4320013936","https://openalex.org/W6605121731","https://openalex.org/W6631190155","https://openalex.org/W6637373629","https://openalex.org/W6685261749","https://openalex.org/W6735913928","https://openalex.org/W6754405603","https://openalex.org/W6756040250","https://openalex.org/W6759232765","https://openalex.org/W6779669310"],"related_works":["https://openalex.org/W2953246223","https://openalex.org/W4293320219","https://openalex.org/W3110074278","https://openalex.org/W4283584549","https://openalex.org/W2618858825","https://openalex.org/W2554314924","https://openalex.org/W2998859928","https://openalex.org/W3156863413","https://openalex.org/W4381885966","https://openalex.org/W4288256692"],"abstract_inverted_index":{"This":[0],"article":[1],"proposes":[2],"a":[3,10,14,66,98,119],"novel":[4],"approach":[5],"for":[6],"predicting":[7],"depth":[8,39,51],"from":[9,50],"single":[11],"image":[12,44,75,80,102],"in":[13,61,118,197],"self-supervised":[15],"manner,":[16],"specifically":[17],"using":[18,41,183],"generative":[19],"adversarial":[20],"networks":[21],"(GANs)":[22],"with":[23,133,164],"enhancements":[24],"to":[25,33,114,127,152,175,194],"improve":[26],"training":[27,59,162,169],"performance.":[28],"We":[29,54,201],"train":[30],"our":[31,116,161,203],"model":[32,117],"generate":[34],"disparity":[35,84],"maps":[36,40],"or":[37],"inverse":[38],"left/right":[42,157],"stereo":[43,186],"supervision":[45,49],"rather":[46],"than":[47],"direct":[48],"ground":[52],"truth.":[53],"avoid":[55],"the":[56,78,83,89,93,101,134,145,154,168,184,213],"problem":[57],"of":[58,92,100,123,156,178],"instability":[60],"standard":[62],"GANs":[63],"by":[64,206],"employing":[65],"relativistic":[67],"discriminator":[68],"that":[69,143],"evaluates":[70],"how":[71],"realistic":[72],"an":[73,190,208],"input":[74],"is.":[76],"Since":[77],"reconstructed":[79,129],"quality":[81,132],"determines":[82],"map's":[85],"accuracy,":[86],"we":[87,138],"adopt":[88],"GMSD,":[90],"one":[91],"standout":[94],"IQA":[95],"algorithms,":[96],"as":[97,148],"part":[99],"reconstruction":[103],"loss":[104,111],"function.":[105],"A":[106],"VGG-19":[107],"pre-trained":[108],"model-based":[109],"perceptual":[110,131],"is":[112,173],"used":[113],"optimize":[115],"feature":[120],"space":[121,125],"instead":[122],"pixel":[124],"and":[126,159,211,218],"enhance":[128],"images'":[130],"learning-based":[135],"perspective.":[136],"Also,":[137],"add":[139],"another":[140],"symmetric":[141],"generator":[142],"takes":[144],"right":[146],"images":[147,182],"input,":[149],"which":[150,188],"helps":[151],"maintain":[153],"consistency":[155],"views":[158],"enrich":[160],"data":[163],"reasonable":[165],"overhead":[166],"on":[167,216],"time.":[170],"Our":[171],"network":[172],"trained":[174],"predict":[176],"depths":[177],"640":[179],"\u00d7":[180],"192":[181],"KITTI":[185],"dataset,":[187],"shows":[189],"outstanding":[191],"performance":[192,215],"compared":[193],"state-of-the-art":[195],"works":[196],"various":[198],"evaluation":[199],"metrics.":[200],"verify":[202],"method's":[204],"modules":[205],"performing":[207],"ablation":[209],"study":[210],"evaluate":[212],"generalization":[214],"CityScapes":[217],"Make3D":[219],"datasets.":[220]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}