{"id":"https://openalex.org/W4414603301","doi":"https://doi.org/10.1109/tits.2025.3581577","title":"Self-Supervised Monocular Depth Estimation With Progressive Enhancement of Local-to-Global Visual Perception","display_name":"Self-Supervised Monocular Depth Estimation With Progressive Enhancement of Local-to-Global Visual Perception","publication_year":2025,"publication_date":"2025-09-29","ids":{"openalex":"https://openalex.org/W4414603301","doi":"https://doi.org/10.1109/tits.2025.3581577"},"language":"en","primary_location":{"id":"doi:10.1109/tits.2025.3581577","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2025.3581577","pdf_url":null,"source":{"id":"https://openalex.org/S144771191","display_name":"IEEE Transactions on Intelligent Transportation Systems","issn_l":"1524-9050","issn":["1524-9050","1558-0016"],"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 Intelligent Transportation Systems","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/A5083983639","display_name":"Xiaogang Song","orcid":"https://orcid.org/0000-0001-9841-9624"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xiaogang Song","raw_affiliation_strings":["School of Computer Science and Engineering, Xi’an University of Technology, Xi’an, China"],"raw_orcid":"https://orcid.org/0000-0001-9841-9624","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Xi’an University of Technology, Xi’an, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":null,"display_name":"Jian Liu","orcid":"https://orcid.org/0009-0006-9794-9889"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jian Liu","raw_affiliation_strings":["School of Computer Science and Engineering, Xi’an University of Technology, Xi’an, China"],"raw_orcid":"https://orcid.org/0009-0006-9794-9889","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Xi’an University of Technology, Xi’an, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":null,"display_name":"Bingxing Wei","orcid":"https://orcid.org/0009-0000-3802-5068"},"institutions":[{"id":"https://openalex.org/I4210107208","display_name":"China Railway Fifth Survey and Design Institute Group","ror":"https://ror.org/01rb6gh35","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210107208"]},{"id":"https://openalex.org/I4210135994","display_name":"China Railway Group (China)","ror":"https://ror.org/03za3eq42","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210135994"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bingxing Wei","raw_affiliation_strings":["China Railway First Group, Electrical Service Engineering Company Ltd., Xi’an, China","China Railway First Group, Electrical Service Engineering Company Ltd, Xi’an, China"],"raw_orcid":"https://orcid.org/0009-0000-3802-5068","affiliations":[{"raw_affiliation_string":"China Railway First Group, Electrical Service Engineering Company Ltd., Xi’an, China","institution_ids":["https://openalex.org/I4210107208","https://openalex.org/I4210135994"]},{"raw_affiliation_string":"China Railway First Group, Electrical Service Engineering Company Ltd, Xi’an, China","institution_ids":["https://openalex.org/I4210107208","https://openalex.org/I4210135994"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108988967","display_name":"Xinwei Guo","orcid":"https://orcid.org/0009-0007-3876-6449"},"institutions":[{"id":"https://openalex.org/I4210107208","display_name":"China Railway Fifth Survey and Design Institute Group","ror":"https://ror.org/01rb6gh35","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210107208"]},{"id":"https://openalex.org/I4210135994","display_name":"China Railway Group (China)","ror":"https://ror.org/03za3eq42","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210135994"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinwei Guo","raw_affiliation_strings":["China Railway First Group, Electrical Service Engineering Company Ltd., Xi’an, China","China Railway First Group, Electrical Service Engineering Company Ltd, Xi’an, China"],"raw_orcid":"https://orcid.org/0009-0007-3876-6449","affiliations":[{"raw_affiliation_string":"China Railway First Group, Electrical Service Engineering Company Ltd., Xi’an, China","institution_ids":["https://openalex.org/I4210107208","https://openalex.org/I4210135994"]},{"raw_affiliation_string":"China Railway First Group, Electrical Service Engineering Company Ltd, Xi’an, China","institution_ids":["https://openalex.org/I4210107208","https://openalex.org/I4210135994"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5073391035","display_name":"Xinhong Hei","orcid":"https://orcid.org/0000-0002-6394-0492"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xinhong Hei","raw_affiliation_strings":["School of Computer Science and Engineering, Xi’an University of Technology, Xi’an, China"],"raw_orcid":"https://orcid.org/0000-0002-6394-0492","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Xi’an University of Technology, Xi’an, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.7777,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.78173699,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"26","issue":"11","first_page":"20536","last_page":"20548"},"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":0.9980000257492065,"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":0.9980000257492065,"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":0.9977999925613403,"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":0.9976000189781189,"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":0.682699978351593},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.5622000098228455},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.5364000201225281},{"id":"https://openalex.org/keywords/limiting","display_name":"Limiting","score":0.4262999892234802},{"id":"https://openalex.org/keywords/visual-perception","display_name":"Visual perception","score":0.4036000072956085},{"id":"https://openalex.org/keywords/depth-perception","display_name":"Depth perception","score":0.3310999870300293}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.737500011920929},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6887000203132629},{"id":"https://openalex.org/C65909025","wikidata":"https://www.wikidata.org/wiki/Q1945033","display_name":"Monocular","level":2,"score":0.682699978351593},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.5622000098228455},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.557699978351593},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.5364000201225281},{"id":"https://openalex.org/C188198153","wikidata":"https://www.wikidata.org/wiki/Q1613840","display_name":"Limiting","level":2,"score":0.4262999892234802},{"id":"https://openalex.org/C178253425","wikidata":"https://www.wikidata.org/wiki/Q162668","display_name":"Visual perception","level":3,"score":0.4036000072956085},{"id":"https://openalex.org/C52672216","wikidata":"https://www.wikidata.org/wiki/Q1749840","display_name":"Depth perception","level":3,"score":0.3310999870300293},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.322299987077713},{"id":"https://openalex.org/C159620131","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Spatial analysis","level":2,"score":0.31709998846054077},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.31130000948905945},{"id":"https://openalex.org/C160086991","wikidata":"https://www.wikidata.org/wiki/Q5939193","display_name":"Human visual system model","level":3,"score":0.3091999888420105},{"id":"https://openalex.org/C158495155","wikidata":"https://www.wikidata.org/wiki/Q2369151","display_name":"Visual search","level":2,"score":0.3075000047683716}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tits.2025.3581577","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2025.3581577","pdf_url":null,"source":{"id":"https://openalex.org/S144771191","display_name":"IEEE Transactions on Intelligent Transportation Systems","issn_l":"1524-9050","issn":["1524-9050","1558-0016"],"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 Intelligent Transportation Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2679547656","display_name":null,"funder_award_id":"52372418","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G792986176","display_name":null,"funder_award_id":"62076201","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8041315712","display_name":null,"funder_award_id":"2023GXLH-043","funder_id":"https://openalex.org/F4320330214","funder_display_name":"Key Research and Development Program of Hunan Province of China"},{"id":"https://openalex.org/G932034209","display_name":null,"funder_award_id":"2022YFB2602203","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320330214","display_name":"Key Research and Development Program of Hunan Province of China","ror":null},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":59,"referenced_works":["https://openalex.org/W1803059841","https://openalex.org/W1901129140","https://openalex.org/W1905829557","https://openalex.org/W2115579991","https://openalex.org/W2117539524","https://openalex.org/W2132947399","https://openalex.org/W2133665775","https://openalex.org/W2158823144","https://openalex.org/W2194775991","https://openalex.org/W2300779272","https://openalex.org/W2340897893","https://openalex.org/W2520707372","https://openalex.org/W2609883120","https://openalex.org/W2798405286","https://openalex.org/W2903233845","https://openalex.org/W2963488291","https://openalex.org/W2963591054","https://openalex.org/W2963654727","https://openalex.org/W2985775862","https://openalex.org/W3003922739","https://openalex.org/W3034253653","https://openalex.org/W3107156787","https://openalex.org/W3131500599","https://openalex.org/W3138516171","https://openalex.org/W3171953850","https://openalex.org/W3173727695","https://openalex.org/W3175682855","https://openalex.org/W3176063055","https://openalex.org/W3203073814","https://openalex.org/W4206545998","https://openalex.org/W4292994007","https://openalex.org/W4310641623","https://openalex.org/W4312416911","https://openalex.org/W4312572946","https://openalex.org/W4312619736","https://openalex.org/W4312630673","https://openalex.org/W4313185116","https://openalex.org/W4319300976","https://openalex.org/W4321512633","https://openalex.org/W4376851255","https://openalex.org/W4379984096","https://openalex.org/W4382450646","https://openalex.org/W4383108465","https://openalex.org/W4383112466","https://openalex.org/W4385245566","https://openalex.org/W4385413672","https://openalex.org/W4385834537","https://openalex.org/W4386075593","https://openalex.org/W4386495221","https://openalex.org/W4386524116","https://openalex.org/W4389314056","https://openalex.org/W4389459276","https://openalex.org/W4390873808","https://openalex.org/W4396909812","https://openalex.org/W4399167840","https://openalex.org/W4399453240","https://openalex.org/W4399611786","https://openalex.org/W4403770507","https://openalex.org/W4404887884"],"related_works":[],"abstract_inverted_index":{"Self-supervised":[0],"monocular":[1],"depth":[2,17,151,157],"estimation":[3],"trains":[4],"by":[5],"utilizing":[6],"the":[7,10,33,90,95,103,121,126,131,149,156,161,165,170,176],"structure":[8],"of":[9,125,160,169],"data":[11],"itself":[12],"without":[13],"relying":[14],"on":[15,110,175],"ground-truth":[16],"labels,":[18],"gaining":[19],"widespread":[20],"attention":[21,113],"in":[22,41,52,106],"fields":[23],"such":[24],"as":[25],"autonomous":[26],"driving.":[27],"However,":[28],"many":[29],"existing":[30,195],"methods":[31],"adopt":[32],"popular":[34],"encoder-decoder":[35],"structure,":[36],"but":[37],"this":[38,59],"has":[39],"deficiencies":[40],"refining":[42],"both":[43],"local":[44,70,85,107,112,122],"and":[45,55,86,180,189],"global":[46,72,87,166],"visual":[47,73,123,167],"clues,":[48],"limiting":[49],"its":[50],"performance":[51,117,188],"detail":[53],"recovery":[54],"spatial":[56],"modeling.":[57],"In":[58,75],"paper,":[60],"we":[61,77],"propose":[62],"LGEDepth,":[63,76],"a":[64,111,143],"novel":[65],"method":[66],"to":[67,71,82,155],"progressively":[68],"enhance":[69],"perception.":[74],"design":[78],"two":[79],"crucial":[80],"components":[81],"comprehensively":[83],"refine":[84],"information":[88,105,141],"after":[89],"encoder-decoder.":[91],"The":[92,128,172],"first":[93],"is":[94,130],"patch-wise":[96],"refinement":[97],"tokenizer":[98],"(PWRT),":[99],"which":[100,136],"fully":[101],"refines":[102],"detailed":[104],"regions":[108],"based":[109],"strategy":[114],"with":[115],"low":[116],"overhead,":[118],"effectively":[119,163],"enhancing":[120,164],"perception":[124,168],"model.":[127,171],"second":[129],"hierarchical":[132],"interaction":[133,145],"module":[134],"(HIM),":[135],"better":[137],"aggregates":[138],"multi-scale":[139],"contextual":[140],"through":[142],"cross-level":[144],"manner":[146],"while":[147],"determining":[148],"optimal":[150],"bins":[152],"that":[153,184],"adapt":[154],"distribution":[158],"characteristics":[159],"scene,":[162],"experimental":[173],"results":[174],"KITTI,":[177],"Cityscapes,":[178],"Make3D":[179],"RUGD":[181],"datasets":[182],"demonstrate":[183],"LGEDepth":[185],"achieves":[186],"state-of-the-art":[187],"exhibits":[190],"strong":[191],"generalization":[192],"ability,":[193],"outperforming":[194],"competitors.":[196]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2025-11-12T23:11:45.498971","created_date":"2025-10-10T00:00:00"}