{"id":"https://openalex.org/W7127100689","doi":"https://doi.org/10.1109/tmm.2026.3660182","title":"FGDepth: Fine-Grained Boundary Perception Enhancement in Self-Supervised Indoor Depth Estimation","display_name":"FGDepth: Fine-Grained Boundary Perception Enhancement in Self-Supervised Indoor Depth Estimation","publication_year":2026,"publication_date":"2026-01-01","ids":{"openalex":"https://openalex.org/W7127100689","doi":"https://doi.org/10.1109/tmm.2026.3660182"},"language":null,"primary_location":{"id":"doi:10.1109/tmm.2026.3660182","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2026.3660182","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"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 Multimedia","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/A5102635155","display_name":"Chenggong Han","orcid":null},"institutions":[{"id":"https://openalex.org/I25757504","display_name":"China University of Mining and Technology","ror":"https://ror.org/01xt2dr21","country_code":"CN","type":"education","lineage":["https://openalex.org/I25757504"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chenggong Han","raw_affiliation_strings":["School of Information and Control Engineering, China University of Mining and Technology, Xuzhou, China"],"raw_orcid":"https://orcid.org/0009-0001-8867-686X","affiliations":[{"raw_affiliation_string":"School of Information and Control Engineering, China University of Mining and Technology, Xuzhou, China","institution_ids":["https://openalex.org/I25757504"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072073374","display_name":"Chen Lv","orcid":"https://orcid.org/0000-0001-6897-4512"},"institutions":[{"id":"https://openalex.org/I25757504","display_name":"China University of Mining and Technology","ror":"https://ror.org/01xt2dr21","country_code":"CN","type":"education","lineage":["https://openalex.org/I25757504"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chen Lv","raw_affiliation_strings":["School of Information and Control Engineering, China University of Mining and Technology, Xuzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-2079-9417","affiliations":[{"raw_affiliation_string":"School of Information and Control Engineering, China University of Mining and Technology, Xuzhou, China","institution_ids":["https://openalex.org/I25757504"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037836004","display_name":"He Jiang","orcid":"https://orcid.org/0000-0002-3345-9665"},"institutions":[{"id":"https://openalex.org/I25757504","display_name":"China University of Mining and Technology","ror":"https://ror.org/01xt2dr21","country_code":"CN","type":"education","lineage":["https://openalex.org/I25757504"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"He Jiang","raw_affiliation_strings":["School of Information and Control Engineering, China University of Mining and Technology, Xuzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information and Control Engineering, China University of Mining and Technology, Xuzhou, China","institution_ids":["https://openalex.org/I25757504"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025097502","display_name":"Qiqi KOU","orcid":null},"institutions":[{"id":"https://openalex.org/I25757504","display_name":"China University of Mining and Technology","ror":"https://ror.org/01xt2dr21","country_code":"CN","type":"education","lineage":["https://openalex.org/I25757504"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiqi Kou","raw_affiliation_strings":["School of Computer Science and Technology, China University of Mining and Technology, Xuzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-2873-2636","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, China University of Mining and Technology, Xuzhou, China","institution_ids":["https://openalex.org/I25757504"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091399196","display_name":"Deqiang CHENG","orcid":null},"institutions":[{"id":"https://openalex.org/I25757504","display_name":"China University of Mining and Technology","ror":"https://ror.org/01xt2dr21","country_code":"CN","type":"education","lineage":["https://openalex.org/I25757504"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Deqiang Cheng","raw_affiliation_strings":["School of Information and Control Engineering, China University of Mining and Technology, Xuzhou, China"],"raw_orcid":"https://orcid.org/0000-0001-8831-1994","affiliations":[{"raw_affiliation_string":"School of Information and Control Engineering, China University of Mining and Technology, Xuzhou, China","institution_ids":["https://openalex.org/I25757504"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5072569849","display_name":"Stefano Mattoccia","orcid":"https://orcid.org/0000-0002-3681-7704"},"institutions":[{"id":"https://openalex.org/I9360294","display_name":"University of Bologna","ror":"https://ror.org/01111rn36","country_code":"IT","type":"education","lineage":["https://openalex.org/I9360294"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Stefano Mattoccia","raw_affiliation_strings":["Department of Computer Science and Engineering, Università di Bologna, Bologna, Italy"],"raw_orcid":"https://orcid.org/0000-0002-3681-7704","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Università di Bologna, Bologna, Italy","institution_ids":["https://openalex.org/I9360294"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.10805816,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"28","issue":null,"first_page":"4851","last_page":"4863"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9174000024795532,"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":0.9174000024795532,"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.027699999511241913,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/T10036","display_name":"Advanced Neural Network Applications","score":0.013500000350177288,"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/boundary","display_name":"Boundary (topology)","score":0.6863999962806702},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6195999979972839},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.6136999726295471},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.6017000079154968},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.4878999888896942},{"id":"https://openalex.org/keywords/interference","display_name":"Interference (communication)","score":0.475600004196167},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.4706000089645386},{"id":"https://openalex.org/keywords/depth-perception","display_name":"Depth perception","score":0.45320001244544983}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8109999895095825},{"id":"https://openalex.org/C62354387","wikidata":"https://www.wikidata.org/wiki/Q875399","display_name":"Boundary (topology)","level":2,"score":0.6863999962806702},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6195999979972839},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.6136999726295471},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6069999933242798},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.6017000079154968},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5717999935150146},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.4878999888896942},{"id":"https://openalex.org/C32022120","wikidata":"https://www.wikidata.org/wiki/Q797225","display_name":"Interference (communication)","level":3,"score":0.475600004196167},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.4706000089645386},{"id":"https://openalex.org/C52672216","wikidata":"https://www.wikidata.org/wiki/Q1749840","display_name":"Depth perception","level":3,"score":0.45320001244544983},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4447999894618988},{"id":"https://openalex.org/C141268832","wikidata":"https://www.wikidata.org/wiki/Q2940499","display_name":"Depth map","level":3,"score":0.4090000092983246},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.3747999966144562},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.33500000834465027},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.3327000141143799},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.31520000100135803},{"id":"https://openalex.org/C2776836416","wikidata":"https://www.wikidata.org/wiki/Q1364844","display_name":"False alarm","level":2,"score":0.3100000023841858},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.28760001063346863},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.2827000021934509},{"id":"https://openalex.org/C21200559","wikidata":"https://www.wikidata.org/wiki/Q7451068","display_name":"Sensitivity (control systems)","level":2,"score":0.26499998569488525},{"id":"https://openalex.org/C113346285","wikidata":"https://www.wikidata.org/wiki/Q6804193","display_name":"Measured depth","level":2,"score":0.25929999351501465},{"id":"https://openalex.org/C108882727","wikidata":"https://www.wikidata.org/wiki/Q2991685","display_name":"Solid modeling","level":2,"score":0.2533000111579895}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tmm.2026.3660182","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2026.3660182","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"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 Multimedia","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4332863609","display_name":null,"funder_award_id":"52204177","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7131253125","display_name":null,"funder_award_id":"52304182","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G972346728","display_name":null,"funder_award_id":"2023MPIM03","funder_id":"https://openalex.org/F4320323709","funder_display_name":"Anhui University of Technology"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320323709","display_name":"Anhui University of Technology","ror":"https://ror.org/02qdtrq21"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Self-supervised":[0],"depth":[1,30,44,69,86,130,140,146,182,187,216],"estimation":[2,45,70],"has":[3],"been":[4],"widely":[5],"ap":[6],"plied":[7],"in":[8,156,164,189],"indoor":[9,90,128,149,165,190],"environments.":[10],"However,":[11],"the":[12,65,68,74,80,85,94,116,120,215,238],"presence":[13],"of":[14,67,79,180,240],"numerous":[15],"objects":[16,163],"and":[17,205],"complex":[18],"structural":[19],"boundaries":[20,188],"often":[21,167],"leads":[22],"existing":[23,229],"methods":[24],"to":[25,42,89,118,143,199,210,236],"generate":[26],"blurred":[27],"or":[28],"imprecise":[29],"edges.":[31],"To":[32],"address":[33],"this":[34],"challenge,":[35],"we":[36,51,83,112,114,133,193],"propose":[37],"FGDepth,":[38],"a":[39,195,207],"framework":[40],"designed":[41],"enhance":[43],"through":[46],"fine-grained":[47],"boundary":[48,154,203],"perception.":[49],"Firstly,":[50],"introduce":[52],"an":[53,124],"SR":[54,81,95,121],"(Super":[55],"Resolution)":[56],"auxiliary":[57,125],"training":[58],"branch":[59,96],"that":[60,135,225],"shares":[61],"feature":[62],"layers":[63],"with":[64,172,214],"encoder":[66],"network.":[71],"By":[72],"utilizing":[73],"powerful":[75],"detail":[76],"recovery":[77],"capabilities":[78],"task,":[82],"improve":[84],"network's":[87],"sensitivity":[88],"object":[91,197,202],"boundaries.":[92],"Notably,":[93],"is":[97,160],"used":[98],"only":[99],"during":[100,107],"training,":[101],"ensuring":[102],"no":[103],"added":[104],"computational":[105],"cost":[106],"inference.":[108],"As":[109],"far":[110],"as":[111,123,169],"know,":[113],"are":[115],"first":[117],"employ":[119],"task":[122],"method":[126,227],"for":[127],"self-supervised":[129],"estimation.":[131],"Second,":[132],"observe":[134],"outdoor":[136],"scenes":[137,150],"display":[138],"significant":[139],"variations":[141],"due":[142],"their":[144],"broader":[145],"range,":[147],"whereas":[148],"typically":[151],"lack":[152],"clear":[153],"distinctions":[155],"background":[157,181],"areas.":[158],"This":[159,175],"because":[161],"distant":[162],"settings":[166],"appear":[168],"continuous":[170],"surfaces":[171],"similar":[173],"depths.":[174],"characteristic":[176],"necessitates":[177],"careful":[178],"mitigation":[179],"uniformity":[183],"interference":[184],"when":[185],"enhancing":[186],"scenes.":[191],"Therefore,":[192],"design":[194],"depth-adaptive":[196],"mask":[198],"provide":[200],"target":[201],"information":[204],"use":[206],"triplet":[208],"loss":[209],"align":[211],"these":[212],"differences":[213],"map.":[217],"Experimental":[218],"results":[219],"on":[220],"three":[221],"benchmark":[222],"datasets":[223],"show":[224],"our":[226],"outperforms":[228],"approaches.":[230],"We":[231],"also":[232],"conduct":[233],"ablation":[234],"studies":[235],"validate":[237],"contributions":[239],"each":[241],"component.":[242]},"counts_by_year":[],"updated_date":"2026-06-23T06:36:01.041984","created_date":"2026-02-03T00:00:00"}