{"id":"https://openalex.org/W7160233950","doi":"https://doi.org/10.1109/tmi.2026.3690379","title":"Beyond Foundation Models: Distilling Geometric Priors for Lightweight Monocular Depth Estimation in Endoscopy","display_name":"Beyond Foundation Models: Distilling Geometric Priors for Lightweight Monocular Depth Estimation in Endoscopy","publication_year":2026,"publication_date":"2026-05-05","ids":{"openalex":"https://openalex.org/W7160233950","doi":"https://doi.org/10.1109/tmi.2026.3690379","pmid":"https://pubmed.ncbi.nlm.nih.gov/42085413"},"language":"en","primary_location":{"id":"doi:10.1109/tmi.2026.3690379","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmi.2026.3690379","pdf_url":null,"source":{"id":"https://openalex.org/S58069681","display_name":"IEEE Transactions on Medical Imaging","issn_l":"0278-0062","issn":["0278-0062","1558-254X"],"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 Medical Imaging","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/A5135293484","display_name":"Kejin Zhu","orcid":null},"institutions":[{"id":"https://openalex.org/I1793135","display_name":"Yanbian University","ror":"https://ror.org/039xnh269","country_code":"CN","type":"education","lineage":["https://openalex.org/I1793135"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kejin Zhu","raw_affiliation_strings":["College of Engineering, Yanbian University, Yanji, Jilin, China"],"raw_orcid":"https://orcid.org/0009-0009-4333-3538","affiliations":[{"raw_affiliation_string":"College of Engineering, Yanbian University, Yanji, Jilin, China","institution_ids":["https://openalex.org/I1793135"]}]},{"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/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuwei Shao","raw_affiliation_strings":["School of Control Science and Engineering, Shandong University, Jinan, Shandong, China"],"raw_orcid":"https://orcid.org/0000-0001-8057-1599","affiliations":[{"raw_affiliation_string":"School of Control Science and Engineering, Shandong University, Jinan, Shandong, China","institution_ids":["https://openalex.org/I154099455"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101592071","display_name":"Yongming Yang","orcid":"https://orcid.org/0000-0003-2358-4566"},"institutions":[{"id":"https://openalex.org/I142078773","display_name":"Shenyang Institute of Automation","ror":"https://ror.org/00ft6nj33","country_code":"CN","type":"facility","lineage":["https://openalex.org/I142078773","https://openalex.org/I19820366"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongming Yang","raw_affiliation_strings":["State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, Liaoning, China"],"raw_orcid":"https://orcid.org/0000-0003-2358-4566","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, Liaoning, China","institution_ids":["https://openalex.org/I142078773","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5134712363","display_name":"Zhongyu Tian","orcid":null},"institutions":[{"id":"https://openalex.org/I1793135","display_name":"Yanbian University","ror":"https://ror.org/039xnh269","country_code":"CN","type":"education","lineage":["https://openalex.org/I1793135"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhongyu Tian","raw_affiliation_strings":["College of Engineering, Yanbian University, Yanji, Jilin, China"],"raw_orcid":"https://orcid.org/0009-0003-5692-6793","affiliations":[{"raw_affiliation_string":"College of Engineering, Yanbian University, Yanji, Jilin, China","institution_ids":["https://openalex.org/I1793135"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061521046","display_name":"B Zhang","orcid":null},"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":"Baochang Zhang","raw_affiliation_strings":["School of Artificial Intelligence, Beihang University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-7396-6218","affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5135415976","display_name":"Zhe Min","orcid":"https://orcid.org/0000-0002-8903-1561"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhe Min","raw_affiliation_strings":["School of Control Science and Engineering, Shandong University, Jinan, Shandong, China"],"raw_orcid":"https://orcid.org/0000-0002-8903-1561","affiliations":[{"raw_affiliation_string":"School of Control Science and Engineering, Shandong University, Jinan, Shandong, China","institution_ids":["https://openalex.org/I154099455"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":2645,"currency":"USD","value_usd":2645},"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.41986411,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"45","issue":"7","first_page":"4002","last_page":"4013"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.1881999969482422,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.1881999969482422,"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/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.14270000159740448,"subfield":{"id":"https://openalex.org/subfields/1704","display_name":"Computer Graphics and Computer-Aided Design"},"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/T10531","display_name":"Advanced Vision and Imaging","score":0.06830000132322311,"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/prior-probability","display_name":"Prior probability","score":0.6126999855041504},{"id":"https://openalex.org/keywords/monocular","display_name":"Monocular","score":0.48069998621940613},{"id":"https://openalex.org/keywords/foundation","display_name":"Foundation (evidence)","score":0.43459999561309814},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.40619999170303345},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.38670000433921814},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.36899998784065247},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.28690001368522644}],"concepts":[{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7365000247955322},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7290999889373779},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.638700008392334},{"id":"https://openalex.org/C177769412","wikidata":"https://www.wikidata.org/wiki/Q278090","display_name":"Prior probability","level":3,"score":0.6126999855041504},{"id":"https://openalex.org/C65909025","wikidata":"https://www.wikidata.org/wiki/Q1945033","display_name":"Monocular","level":2,"score":0.48069998621940613},{"id":"https://openalex.org/C2780966255","wikidata":"https://www.wikidata.org/wiki/Q5474306","display_name":"Foundation (evidence)","level":2,"score":0.43459999561309814},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.40619999170303345},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.38670000433921814},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.36899998784065247},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.28690001368522644},{"id":"https://openalex.org/C31601959","wikidata":"https://www.wikidata.org/wiki/Q931309","display_name":"Medical imaging","level":2,"score":0.2791000008583069},{"id":"https://openalex.org/C167928553","wikidata":"https://www.wikidata.org/wiki/Q1376021","display_name":"Estimation theory","level":2,"score":0.2784999907016754},{"id":"https://openalex.org/C166704113","wikidata":"https://www.wikidata.org/wiki/Q861092","display_name":"Image registration","level":3,"score":0.27630001306533813},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.26980000734329224},{"id":"https://openalex.org/C108882727","wikidata":"https://www.wikidata.org/wiki/Q2991685","display_name":"Solid modeling","level":2,"score":0.26420000195503235},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.25609999895095825}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D004724","descriptor_name":"Endoscopy","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D004724","descriptor_name":"Endoscopy","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D004724","descriptor_name":"Endoscopy","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016208","descriptor_name":"Databases, Factual","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016208","descriptor_name":"Databases, Factual","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016208","descriptor_name":"Databases, Factual","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D021621","descriptor_name":"Imaging, Three-Dimensional","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D021621","descriptor_name":"Imaging, Three-Dimensional","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D021621","descriptor_name":"Imaging, Three-Dimensional","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true}],"locations_count":2,"locations":[{"id":"doi:10.1109/tmi.2026.3690379","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmi.2026.3690379","pdf_url":null,"source":{"id":"https://openalex.org/S58069681","display_name":"IEEE Transactions on Medical Imaging","issn_l":"0278-0062","issn":["0278-0062","1558-254X"],"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 Medical Imaging","raw_type":"journal-article"},{"id":"pmid:42085413","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/42085413","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 medical imaging","raw_type":"Journal Article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5229864716529846,"display_name":"Climate action","id":"https://metadata.un.org/sdg/13"}],"awards":[{"id":"https://openalex.org/G3777378430","display_name":null,"funder_award_id":"2023YFB4705700","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G4026616229","display_name":null,"funder_award_id":"62303450","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4203797261","display_name":null,"funder_award_id":"202333011","funder_id":"https://openalex.org/F4320310075","funder_display_name":"Jinan Science and Technology Bureau"},{"id":"https://openalex.org/G4391195968","display_name":null,"funder_award_id":"22IAA01849","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5753678616","display_name":null,"funder_award_id":"62303275","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7187387393","display_name":null,"funder_award_id":"U25A20145","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8837333616","display_name":null,"funder_award_id":"U20A20195","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320310075","display_name":"Jinan Science and Technology Bureau","ror":"https://ror.org/016p59286"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"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":55,"referenced_works":["https://openalex.org/W1590518343","https://openalex.org/W1821462560","https://openalex.org/W1846698530","https://openalex.org/W2056568601","https://openalex.org/W2133665775","https://openalex.org/W2582073395","https://openalex.org/W2609883120","https://openalex.org/W2739879705","https://openalex.org/W2926429807","https://openalex.org/W2955639361","https://openalex.org/W2962816904","https://openalex.org/W2963140444","https://openalex.org/W2963596017","https://openalex.org/W2964968086","https://openalex.org/W2968529893","https://openalex.org/W2981441441","https://openalex.org/W2981732213","https://openalex.org/W2982157312","https://openalex.org/W2985775862","https://openalex.org/W2989184872","https://openalex.org/W3035434014","https://openalex.org/W3044812225","https://openalex.org/W3046291963","https://openalex.org/W3152803807","https://openalex.org/W3172843937","https://openalex.org/W3174211490","https://openalex.org/W3177390622","https://openalex.org/W3179159099","https://openalex.org/W3203943632","https://openalex.org/W3214532513","https://openalex.org/W4200072305","https://openalex.org/W4304013729","https://openalex.org/W4312933868","https://openalex.org/W4313071068","https://openalex.org/W4321512633","https://openalex.org/W4376481259","https://openalex.org/W4386076206","https://openalex.org/W4386280799","https://openalex.org/W4386527936","https://openalex.org/W4390693694","https://openalex.org/W4393159333","https://openalex.org/W4395481595","https://openalex.org/W4396532899","https://openalex.org/W4402716314","https://openalex.org/W4402727359","https://openalex.org/W4402753888","https://openalex.org/W4403062944","https://openalex.org/W4403717735","https://openalex.org/W4404914305","https://openalex.org/W4408286403","https://openalex.org/W4409224395","https://openalex.org/W4410914905","https://openalex.org/W4414359352","https://openalex.org/W4415798746","https://openalex.org/W7160131330"],"related_works":[],"abstract_inverted_index":{"In":[0],"recent":[1],"times,":[2],"geometric":[3,26,77,81,93],"foundation":[4,82],"models":[5,83],"have":[6],"demonstrated":[7],"remarkable":[8],"performance":[9,157],"in":[10,43,80],"depth":[11,61,107],"estimation":[12],"tasks,":[13],"benefiting":[14],"from":[15,127],"exposure":[16],"to":[17,121,158],"large-scale":[18],"data":[19],"that":[20,91,148],"enables":[21],"the":[22,45,53,75,128,134,140,149],"learning":[23],"of":[24,48,55,68,133],"intricate":[25],"structures":[27],"and":[28,36,84,102,144,167],"spatial":[29],"dependencies.":[30],"However,":[31],"their":[32],"large":[33],"parameter":[34],"sizes":[35],"high":[37],"computational":[38,169],"complexity":[39],"pose":[40],"significant":[41],"challenges":[42],"meeting":[44],"efficiency":[46],"requirements":[47],"downstream":[49],"surgical":[50],"applications.":[51],"Consequently,":[52],"design":[54],"a":[56,65,86,105,116,163],"high-performance":[57],"yet":[58],"lightweight":[59,135],"monocular":[60],"estimator":[62],"has":[63],"become":[64],"focal":[66],"point":[67],"research.":[69],"To":[70,109],"this":[71],"end,":[72],"we":[73,114],"harness":[74],"rich":[76],"priors":[78],"encoded":[79],"introduce":[85],"novel":[87],"trinity":[88],"distillation":[89],"scheme":[90],"transfers":[92],"knowledge":[94],"across":[95],"three":[96],"complementary":[97],"dimensions,":[98],"namely":[99],"spatial,":[100],"spectral":[101],"gradient,":[103],"into":[104],"compact":[106],"estimator.":[108,136],"further":[110],"enhance":[111],"prediction":[112],"quality,":[113],"develop":[115],"semantic":[117,130],"distribution":[118],"alignment":[119],"strategy":[120],"effectively":[122],"suppress":[123],"pseudo-texture":[124],"artifacts":[125],"arising":[126],"limited":[129],"representation":[131],"capability":[132],"Extensive":[137],"experiments":[138],"on":[139],"SCARED,":[141],"SERV-CT,":[142],"Hamlyn,":[143],"C3VD":[145],"datasets":[146],"demonstrate":[147],"proposed":[150],"method":[151],"either":[152],"surpasses":[153],"or":[154],"achieves":[155],"comparable":[156],"previous":[159],"state-of-the-art":[160],"competitors,":[161],"with":[162],"smaller":[164],"model":[165],"size":[166],"reduced":[168],"overhead.":[170],"Code":[171],"will":[172],"be":[173],"available":[174],"at:":[175],"https://github.com/ShuweiShao/LiteNet.":[176]},"counts_by_year":[],"updated_date":"2026-08-21T09:56:20.448147","created_date":"2026-05-06T00:00:00"}