{"id":"https://openalex.org/W4390204136","doi":"https://doi.org/10.1109/tip.2023.3338053","title":"SENSE: Self-Evolving Learning for Self-Supervised Monocular Depth Estimation","display_name":"SENSE: Self-Evolving Learning for Self-Supervised Monocular Depth Estimation","publication_year":2023,"publication_date":"2023-12-25","ids":{"openalex":"https://openalex.org/W4390204136","doi":"https://doi.org/10.1109/tip.2023.3338053","pmid":"https://pubmed.ncbi.nlm.nih.gov/38145544"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2023.3338053","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2023.3338053","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"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 Image Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5042965510","display_name":"Guanbin Li","orcid":"https://orcid.org/0000-0002-4805-0926"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Guanbin Li","raw_affiliation_strings":["School of Computer Science and Engineering, Research Institute of Sun Yat-sen University in Shenzhen, Sun Yat-sen University, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Research Institute of Sun Yat-sen University in Shenzhen, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019744048","display_name":"Ricong Huang","orcid":"https://orcid.org/0000-0003-3268-7962"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ricong Huang","raw_affiliation_strings":["School of Computer Science and Engineering, Research Institute of Sun Yat-sen University in Shenzhen, Sun Yat-sen University, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Research Institute of Sun Yat-sen University in Shenzhen, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077081913","display_name":"Haofeng Li","orcid":"https://orcid.org/0000-0001-9120-9843"},"institutions":[{"id":"https://openalex.org/I4210099586","display_name":"Shenzhen Research Institute of Big Data","ror":"https://ror.org/00z1gwf89","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210099586"]},{"id":"https://openalex.org/I4210116924","display_name":"Chinese University of Hong Kong, Shenzhen","ror":"https://ror.org/02d5ks197","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633","https://openalex.org/I180726961","https://openalex.org/I4210116924"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haofeng Li","raw_affiliation_strings":["Shenzhen Research Institute of Big Data, The Chinese University of Hong Kong (Shenzhen), Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Shenzhen Research Institute of Big Data, The Chinese University of Hong Kong (Shenzhen), Shenzhen, China","institution_ids":["https://openalex.org/I4210116924","https://openalex.org/I4210099586"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047960872","display_name":"Zunzhi You","orcid":"https://orcid.org/0009-0004-5167-6120"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zunzhi You","raw_affiliation_strings":["School of Computer Science and Engineering, Research Institute of Sun Yat-sen University in Shenzhen, Sun Yat-sen University, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Research Institute of Sun Yat-sen University in Shenzhen, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5050270520","display_name":"Weikai Chen","orcid":"https://orcid.org/0000-0002-3212-1072"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Weikai Chen","raw_affiliation_strings":["Tencent America, Los Angeles, CA, USA"],"affiliations":[{"raw_affiliation_string":"Tencent America, Los Angeles, CA, USA","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5042965510"],"corresponding_institution_ids":["https://openalex.org/I157773358"],"apc_list":null,"apc_paid":null,"fwci":2.468,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.90026484,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"33","issue":null,"first_page":"439","last_page":"450"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9588000178337097,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9588000178337097,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9483000040054321,"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":0.9402999877929688,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.6942170262336731},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6215866804122925},{"id":"https://openalex.org/keywords/estimation","display_name":"Estimation","score":0.5559958219528198},{"id":"https://openalex.org/keywords/monocular","display_name":"Monocular","score":0.5139284133911133},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.45012640953063965},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.42622503638267517},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4099668860435486},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09274730086326599}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6942170262336731},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6215866804122925},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.5559958219528198},{"id":"https://openalex.org/C65909025","wikidata":"https://www.wikidata.org/wiki/Q1945033","display_name":"Monocular","level":2,"score":0.5139284133911133},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.45012640953063965},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.42622503638267517},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4099668860435486},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09274730086326599},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tip.2023.3338053","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2023.3338053","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"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 Image Processing","raw_type":"journal-article"},{"id":"pmid:38145544","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/38145544","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on image processing : a publication of the IEEE Signal Processing Society","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1874218645","display_name":null,"funder_award_id":"61976250","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4751043524","display_name":null,"funder_award_id":"62322608","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6943384681","display_name":null,"funder_award_id":"VRLAB2023A01","funder_id":"https://openalex.org/F4320326839","funder_display_name":"State Key Laboratory of Virtual Reality Technology and Systems"},{"id":"https://openalex.org/G7643405260","display_name":null,"funder_award_id":"62102267","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7868681046","display_name":null,"funder_award_id":"JCYJ20220530141211024","funder_id":"https://openalex.org/F4320336569","funder_display_name":"Shenzhen Science and Technology Innovation Program"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320326839","display_name":"State Key Laboratory of Virtual Reality Technology and Systems","ror":null},{"id":"https://openalex.org/F4320336569","display_name":"Shenzhen Science and Technology Innovation Program","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":67,"referenced_works":["https://openalex.org/W1992178727","https://openalex.org/W2108598243","https://openalex.org/W2115579991","https://openalex.org/W2133665775","https://openalex.org/W2194775991","https://openalex.org/W2300779272","https://openalex.org/W2520707372","https://openalex.org/W2566079294","https://openalex.org/W2593414960","https://openalex.org/W2609883120","https://openalex.org/W2885093229","https://openalex.org/W2886322387","https://openalex.org/W2889002172","https://openalex.org/W2895192073","https://openalex.org/W2895401575","https://openalex.org/W2934279571","https://openalex.org/W2962804601","https://openalex.org/W2963020481","https://openalex.org/W2963316641","https://openalex.org/W2963412495","https://openalex.org/W2963488291","https://openalex.org/W2963517541","https://openalex.org/W2963549785","https://openalex.org/W2963591054","https://openalex.org/W2963654727","https://openalex.org/W2963906250","https://openalex.org/W2964020152","https://openalex.org/W2964274690","https://openalex.org/W2964968086","https://openalex.org/W2967052791","https://openalex.org/W2967115342","https://openalex.org/W2968529893","https://openalex.org/W2981518351","https://openalex.org/W2985298239","https://openalex.org/W2985775862","https://openalex.org/W2990946490","https://openalex.org/W3014641072","https://openalex.org/W3034428934","https://openalex.org/W3034475171","https://openalex.org/W3034604951","https://openalex.org/W3035160371","https://openalex.org/W3035679448","https://openalex.org/W3035699237","https://openalex.org/W3087584369","https://openalex.org/W3092693966","https://openalex.org/W3107156787","https://openalex.org/W3107389224","https://openalex.org/W3121115395","https://openalex.org/W3173274332","https://openalex.org/W3175682855","https://openalex.org/W3194533273","https://openalex.org/W3201971426","https://openalex.org/W3203943632","https://openalex.org/W3204559841","https://openalex.org/W4214520160","https://openalex.org/W4292994007","https://openalex.org/W4312253171","https://openalex.org/W4312355722","https://openalex.org/W4312973546","https://openalex.org/W4386075593","https://openalex.org/W6631190155","https://openalex.org/W6685261749","https://openalex.org/W6693585675","https://openalex.org/W6740005241","https://openalex.org/W6756040250","https://openalex.org/W6771630921","https://openalex.org/W6780320512"],"related_works":["https://openalex.org/W200819717","https://openalex.org/W2032269556","https://openalex.org/W1991834176","https://openalex.org/W2944448661","https://openalex.org/W2064421702","https://openalex.org/W4253756925","https://openalex.org/W2805523177","https://openalex.org/W2131956013","https://openalex.org/W2036566443","https://openalex.org/W2081241816"],"abstract_inverted_index":{"Self-supervised":[0],"depth":[1,22,62,96,109,140,187],"estimation":[2,63,97,110,141],"methods":[3],"can":[4,117,177],"achieve":[5],"competitive":[6],"performance":[7,38],"using":[8,70,113],"only":[9],"unlabeled":[10],"monocular":[11,61],"videos,":[12],"but":[13,39,73],"they":[14],"suffer":[15],"from":[16,85,98],"the":[17,43,46,67,86,90,94,99,114,128,134,161,170,180,201],"uncertainty":[18],"of":[19,29,45,81,89,169,182],"jointly":[20],"learning":[21,57],"and":[23,36,166],"pose":[24,167],"without":[25,74],"any":[26],"ground":[27],"truths":[28],"both":[30],"tasks.":[31],"Supervised":[32],"framework":[33],"provides":[34],"robust":[35],"superior":[37],"is":[40],"limited":[41],"by":[42,137],"scope":[44],"labeled":[47,76],"data.":[48,77],"In":[49],"this":[50,150],"paper,":[51],"we":[52,131,152],"introduce":[53],"SENSE,":[54],"a":[55,106,154],"novel":[56,87],"paradigm":[58],"for":[59],"self-supervised":[60,100,135,171,186],"that":[64,105,144,158,193],"progressively":[65],"evolves":[66],"prediction":[68],"result":[69],"supervised":[71,108,146],"learning,":[72],"requiring":[75],"The":[78],"key":[79,163],"contribution":[80],"our":[82,194],"approach":[83,176,196],"stems":[84],"use":[88],"pseudo":[91,115],"labels":[92,116],"-":[93],"noisy":[95],"methods.":[101],"We":[102],"surprisingly":[103],"find":[104],"fully":[107,145],"network":[111],"trained":[112],"produce":[118],"even":[119],"better":[120],"results":[121,190,199],"than":[122],"its":[123,139],"\"ground":[124],"truth\".":[125],"To":[126],"push":[127],"envelope":[129],"further,":[130],"then":[132],"evolve":[133],"backbone":[136,172],"replacing":[138],"branch":[142],"with":[143],"network.":[147,173],"Based":[148],"on":[149,200],"idea,":[151],"devise":[153],"comprehensive":[155],"training":[156,184],"pipeline":[157],"alternatively":[159],"enhances":[160],"two":[162],"branches":[164],"(depth":[165],"estimation)":[168],"Our":[174],"proposed":[175,195],"effectively":[178],"ease":[179],"difficulty":[181],"multi-task":[183],"in":[185],"estimation.":[188],"Experimental":[189],"have":[191],"shown":[192],"achieves":[197],"state-of-the-art":[198],"KITTI":[202],"dataset.":[203]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":10},{"year":2024,"cited_by_count":1}],"updated_date":"2026-03-17T09:09:15.849793","created_date":"2025-10-10T00:00:00"}
