{"id":"https://openalex.org/W4376481259","doi":"https://doi.org/10.1109/tcsvt.2023.3275584","title":"Self-Supervised Monocular Depth Estimation With Self-Reference Distillation and Disparity Offset Refinement","display_name":"Self-Supervised Monocular Depth Estimation With Self-Reference Distillation and Disparity Offset Refinement","publication_year":2023,"publication_date":"2023-05-12","ids":{"openalex":"https://openalex.org/W4376481259","doi":"https://doi.org/10.1109/tcsvt.2023.3275584"},"language":"en","primary_location":{"id":"doi:10.1109/tcsvt.2023.3275584","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2023.3275584","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"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 Circuits and Systems for Video Technology","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/A5100376861","display_name":"Zhong Liu","orcid":"https://orcid.org/0000-0003-3242-5997"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhong Liu","raw_affiliation_strings":["School of Automation Science and Electrical Engineering, Beihang University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-3242-5997","affiliations":[{"raw_affiliation_string":"School of Automation Science and Electrical Engineering, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100428066","display_name":"Ran Li","orcid":"https://orcid.org/0000-0002-0487-1570"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ran Li","raw_affiliation_strings":["School of Automation Science and Electrical Engineering, Beihang University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-0487-1570","affiliations":[{"raw_affiliation_string":"School of Automation Science and Electrical Engineering, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000411800","display_name":"Shuwei Shao","orcid":"https://orcid.org/0000-0001-8057-1599"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuwei Shao","raw_affiliation_strings":["School of Automation Science and Electrical Engineering, Beihang University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-8057-1599","affiliations":[{"raw_affiliation_string":"School of Automation Science and Electrical Engineering, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100374736","display_name":"Xingming Wu","orcid":"https://orcid.org/0000-0002-4334-0465"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xingming Wu","raw_affiliation_strings":["School of Automation Science and Electrical Engineering, Beihang University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-4334-0465","affiliations":[{"raw_affiliation_string":"School of Automation Science and Electrical Engineering, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5026365889","display_name":"Weihai Chen","orcid":"https://orcid.org/0000-0001-7912-4505"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weihai Chen","raw_affiliation_strings":["School of Automation Science and Electrical Engineering, Beihang University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-7912-4505","affiliations":[{"raw_affiliation_string":"School of Automation Science and Electrical Engineering, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":5.5745,"has_fulltext":false,"cited_by_count":50,"citation_normalized_percentile":{"value":0.97114307,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"33","issue":"12","first_page":"7565","last_page":"7577"},"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9994000196456909,"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":0.9991000294685364,"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/leverage","display_name":"Leverage (statistics)","score":0.7741422653198242},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7466043829917908},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6669877767562866},{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.6666125059127808},{"id":"https://openalex.org/keywords/monocular","display_name":"Monocular","score":0.602403998374939},{"id":"https://openalex.org/keywords/offset","display_name":"Offset (computer science)","score":0.5777789950370789},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4972684681415558},{"id":"https://openalex.org/keywords/ground-truth","display_name":"Ground truth","score":0.4261781573295593},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.4118023216724396},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3797649145126343},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3633560538291931}],"concepts":[{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.7741422653198242},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7466043829917908},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6669877767562866},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.6666125059127808},{"id":"https://openalex.org/C65909025","wikidata":"https://www.wikidata.org/wiki/Q1945033","display_name":"Monocular","level":2,"score":0.602403998374939},{"id":"https://openalex.org/C175291020","wikidata":"https://www.wikidata.org/wiki/Q1156822","display_name":"Offset (computer science)","level":2,"score":0.5777789950370789},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4972684681415558},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.4261781573295593},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.4118023216724396},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3797649145126343},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3633560538291931},{"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/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tcsvt.2023.3275584","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2023.3275584","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"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 Circuits and Systems for Video Technology","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6800000071525574,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[{"id":"https://openalex.org/G1657366047","display_name":null,"funder_award_id":"U1909215","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G558676831","display_name":null,"funder_award_id":"61620106012","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6041466059","display_name":null,"funder_award_id":"51975029","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6252892545","display_name":null,"funder_award_id":"61573048","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6300563505","display_name":null,"funder_award_id":"2021C03050","funder_id":"https://openalex.org/F8142712028","funder_display_name":"Key Research and Development Program of Zhejiang Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F8142712028","display_name":"Key Research and Development Program of Zhejiang Province","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":79,"referenced_works":["https://openalex.org/W753847829","https://openalex.org/W1803059841","https://openalex.org/W1821462560","https://openalex.org/W2108598243","https://openalex.org/W2115579991","https://openalex.org/W2132947399","https://openalex.org/W2133665775","https://openalex.org/W2194775991","https://openalex.org/W2294370754","https://openalex.org/W2300779272","https://openalex.org/W2340897893","https://openalex.org/W2520707372","https://openalex.org/W2592335154","https://openalex.org/W2609883120","https://openalex.org/W2767981409","https://openalex.org/W2830339951","https://openalex.org/W2886322387","https://openalex.org/W2890949887","https://openalex.org/W2895192073","https://openalex.org/W2908510526","https://openalex.org/W2962793285","https://openalex.org/W2962960377","https://openalex.org/W2963517541","https://openalex.org/W2963549785","https://openalex.org/W2963591054","https://openalex.org/W2963654727","https://openalex.org/W2964020152","https://openalex.org/W2964968086","https://openalex.org/W2985775862","https://openalex.org/W3034428934","https://openalex.org/W3034475171","https://openalex.org/W3034604951","https://openalex.org/W3035160371","https://openalex.org/W3035434014","https://openalex.org/W3092225516","https://openalex.org/W3107156787","https://openalex.org/W3110440461","https://openalex.org/W3112501249","https://openalex.org/W3118453581","https://openalex.org/W3131500599","https://openalex.org/W3133630855","https://openalex.org/W3138516171","https://openalex.org/W3145609993","https://openalex.org/W3173274332","https://openalex.org/W3173727695","https://openalex.org/W3174581459","https://openalex.org/W3188511781","https://openalex.org/W3194822352","https://openalex.org/W3196107618","https://openalex.org/W3203016301","https://openalex.org/W3204559841","https://openalex.org/W3205829517","https://openalex.org/W3206569002","https://openalex.org/W3207743087","https://openalex.org/W3212141503","https://openalex.org/W4206545998","https://openalex.org/W4214520160","https://openalex.org/W4214701513","https://openalex.org/W4287863801","https://openalex.org/W4307896876","https://openalex.org/W4312355722","https://openalex.org/W4312819733","https://openalex.org/W4312973546","https://openalex.org/W4312977443","https://openalex.org/W4313040116","https://openalex.org/W4313185116","https://openalex.org/W4321512633","https://openalex.org/W6638523607","https://openalex.org/W6683067110","https://openalex.org/W6685261749","https://openalex.org/W6743188669","https://openalex.org/W6746200908","https://openalex.org/W6751751081","https://openalex.org/W6757817989","https://openalex.org/W6767088534","https://openalex.org/W6771531989","https://openalex.org/W6784135996","https://openalex.org/W6802066719","https://openalex.org/W6805219988"],"related_works":["https://openalex.org/W4295532600","https://openalex.org/W3006513224","https://openalex.org/W2063823869","https://openalex.org/W2046456988","https://openalex.org/W2357409937","https://openalex.org/W2047973478","https://openalex.org/W2067569035","https://openalex.org/W2510582230","https://openalex.org/W2978674666","https://openalex.org/W2074430941"],"abstract_inverted_index":{"Monocular":[0],"depth":[1,16,49],"estimation":[2],"plays":[3],"a":[4,27,62,102],"fundamental":[5],"role":[6],"in":[7],"computer":[8],"vision.":[9],"Due":[10],"to":[11,25,45,73,107,128,136],"the":[12,33,66,70,78,85,89,96,110,114,120,138,153],"costly":[13],"acquisition":[14],"of":[15],"ground":[17],"truth,":[18],"self-supervised":[19,47],"methods":[20],"that":[21,159],"leverage":[22,119],"adjacent":[23],"frames":[24],"establish":[26],"supervision":[28,76],"signal":[29],"have":[30],"emerged":[31],"as":[32,65,69,88],"most":[34],"promising":[35],"paradigms.":[36],"In":[37,100],"this":[38],"work,":[39],"we":[40,60,118],"propose":[41],"two":[42],"novel":[43],"ideas":[44],"improve":[46],"monocular":[48],"estimation:":[50],"1)":[51],"self-reference":[52],"distillation":[53],"and":[54,125,155],"2)":[55],"disparity":[56,131,139,144],"offset":[57],"refinement.":[58],"Specifically,":[59],"use":[61],"parameter-optimized":[63],"model":[64,83],"teacher":[67,82,115],"updated":[68],"training":[71,79],"epochs":[72],"provide":[74],"additional":[75],"during":[77],"process.":[80],"The":[81,149],"has":[84],"same":[86],"structure":[87],"student":[90,98],"model,":[91],"with":[92],"weights":[93],"inherited":[94],"from":[95],"historical":[97],"model.":[99,116],"addition,":[101],"multiview":[103],"check":[104],"is":[105],"introduced":[106],"filter":[108],"out":[109],"outliers":[111],"produced":[112],"by":[113,142],"Furthermore,":[117],"contextual":[121],"consistency":[122],"between":[123],"high-level":[124],"low-level":[126],"features":[127],"obtain":[129],"multiscale":[130],"offsets,":[132],"which":[133],"are":[134],"used":[135],"refine":[137],"output":[140],"incrementally":[141],"aligning":[143],"information":[145],"at":[146],"different":[147],"scales.":[148],"experimental":[150],"results":[151],"on":[152],"KITTI":[154],"Make3D":[156],"datasets":[157],"show":[158],"our":[160],"method":[161],"outperforms":[162],"previous":[163],"state-of-the-art":[164],"competitors.":[165]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":15},{"year":2024,"cited_by_count":20},{"year":2023,"cited_by_count":10}],"updated_date":"2026-06-19T17:40:00.097472","created_date":"2025-10-10T00:00:00"}
