{"id":"https://openalex.org/W3206647015","doi":"https://doi.org/10.1109/tip.2021.3120670","title":"Multi-Scale Spatial Attention-Guided Monocular Depth Estimation With Semantic Enhancement","display_name":"Multi-Scale Spatial Attention-Guided Monocular Depth Estimation With Semantic Enhancement","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W3206647015","doi":"https://doi.org/10.1109/tip.2021.3120670","mag":"3206647015","pmid":"https://pubmed.ncbi.nlm.nih.gov/34673488"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2021.3120670","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2021.3120670","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/A5032685900","display_name":"Xianfa Xu","orcid":null},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xianfa Xu","raw_affiliation_strings":["School of Information and Communication Engineering, Dalian University of Technology, Dalian, China"],"raw_orcid":"https://orcid.org/0000-0002-8538-8280","affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering, Dalian University of Technology, Dalian, China","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100783392","display_name":"Zhe Chen","orcid":"https://orcid.org/0000-0002-6822-9667"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhe Chen","raw_affiliation_strings":["School of Information and Communication Engineering, Dalian University of Technology, Dalian, China"],"raw_orcid":"https://orcid.org/0000-0002-6822-9667","affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering, Dalian University of Technology, Dalian, China","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5080791396","display_name":"Fuliang Yin","orcid":"https://orcid.org/0000-0003-2642-8489"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fuliang Yin","raw_affiliation_strings":["School of Information and Communication Engineering, Dalian University of Technology, Dalian, China"],"raw_orcid":"https://orcid.org/0000-0003-2642-8489","affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering, Dalian University of Technology, Dalian, China","institution_ids":["https://openalex.org/I27357992"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I27357992"],"apc_list":null,"apc_paid":null,"fwci":2.3554,"has_fulltext":false,"cited_by_count":39,"citation_normalized_percentile":{"value":0.9058593,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"30","issue":null,"first_page":"8811","last_page":"8822"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":1.0,"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":1.0,"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":0.9991999864578247,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.996999979019165,"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/computer-science","display_name":"Computer science","score":0.7549846172332764},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7358292937278748},{"id":"https://openalex.org/keywords/pyramid","display_name":"Pyramid (geometry)","score":0.5693946480751038},{"id":"https://openalex.org/keywords/monocular","display_name":"Monocular","score":0.5445849895477295},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.5313397645950317},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5007655620574951},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.49816393852233887},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4853452742099762},{"id":"https://openalex.org/keywords/pooling","display_name":"Pooling","score":0.4827241599559784},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.4733712077140808},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.47070834040641785},{"id":"https://openalex.org/keywords/depth-map","display_name":"Depth map","score":0.4673982262611389},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.4533322751522064},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.44971925020217896},{"id":"https://openalex.org/keywords/spatial-analysis","display_name":"Spatial analysis","score":0.4330381155014038},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2956879138946533},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14636892080307007},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.09414970874786377},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.08424076437950134}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7549846172332764},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7358292937278748},{"id":"https://openalex.org/C142575187","wikidata":"https://www.wikidata.org/wiki/Q3358290","display_name":"Pyramid (geometry)","level":2,"score":0.5693946480751038},{"id":"https://openalex.org/C65909025","wikidata":"https://www.wikidata.org/wiki/Q1945033","display_name":"Monocular","level":2,"score":0.5445849895477295},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.5313397645950317},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5007655620574951},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.49816393852233887},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4853452742099762},{"id":"https://openalex.org/C70437156","wikidata":"https://www.wikidata.org/wiki/Q7228652","display_name":"Pooling","level":2,"score":0.4827241599559784},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.4733712077140808},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.47070834040641785},{"id":"https://openalex.org/C141268832","wikidata":"https://www.wikidata.org/wiki/Q2940499","display_name":"Depth map","level":3,"score":0.4673982262611389},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.4533322751522064},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.44971925020217896},{"id":"https://openalex.org/C159620131","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Spatial analysis","level":2,"score":0.4330381155014038},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2956879138946533},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14636892080307007},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.09414970874786377},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.08424076437950134},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tip.2021.3120670","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2021.3120670","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:34673488","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/34673488","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/G2154559647","display_name":null,"funder_award_id":"2015AA016306","funder_id":"https://openalex.org/F4320335773","funder_display_name":"National High-tech Research and Development Program"},{"id":"https://openalex.org/G6409499632","display_name":"\u5206\u5e03\u5f0f\u9ea6\u514b\u98ce\u9635\u5217\u6821\u51c6\u65b0\u65b9\u6cd5\u7814\u7a76","funder_award_id":"61871066","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6917949686","display_name":null,"funder_award_id":"DUT17LAB04","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G6944970250","display_name":"\u57fa\u4e8e\u5206\u5e03\u5f0f\u9ea6\u514b\u98ce\u9635\u5217\u7684\u591a\u8bf4\u8bdd\u4eba\u8ddf\u8e2a\u65b9\u6cd5\u7814\u7a76","funder_award_id":"61771091","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7998028421","display_name":null,"funder_award_id":"20170540159","funder_id":"https://openalex.org/F4320323086","funder_display_name":"Natural Science Foundation of Liaoning Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320323086","display_name":"Natural Science Foundation of Liaoning Province","ror":null},{"id":"https://openalex.org/F4320335773","display_name":"National High-tech Research and Development Program","ror":null},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":75,"referenced_works":["https://openalex.org/W125693051","https://openalex.org/W1486646730","https://openalex.org/W1517258739","https://openalex.org/W1818727054","https://openalex.org/W1905829557","https://openalex.org/W1959608418","https://openalex.org/W2074254947","https://openalex.org/W2083047701","https://openalex.org/W2132947399","https://openalex.org/W2136144249","https://openalex.org/W2139905387","https://openalex.org/W2145567954","https://openalex.org/W2150066425","https://openalex.org/W2152790380","https://openalex.org/W2171740948","https://openalex.org/W2194775991","https://openalex.org/W2271840356","https://openalex.org/W2300779272","https://openalex.org/W2340897893","https://openalex.org/W2395611524","https://openalex.org/W2419501139","https://openalex.org/W2520707372","https://openalex.org/W2527938858","https://openalex.org/W2560023338","https://openalex.org/W2565639579","https://openalex.org/W2593414960","https://openalex.org/W2605938684","https://openalex.org/W2606794968","https://openalex.org/W2609883120","https://openalex.org/W2620958690","https://openalex.org/W2630837129","https://openalex.org/W2805577703","https://openalex.org/W2842511635","https://openalex.org/W2887997457","https://openalex.org/W2889002172","https://openalex.org/W2890949887","https://openalex.org/W2895314356","https://openalex.org/W2897203992","https://openalex.org/W2951234442","https://openalex.org/W2962741876","https://openalex.org/W2963412495","https://openalex.org/W2963488291","https://openalex.org/W2963583471","https://openalex.org/W2963591054","https://openalex.org/W2963654727","https://openalex.org/W2963800509","https://openalex.org/W2963870605","https://openalex.org/W2963906250","https://openalex.org/W2964014680","https://openalex.org/W2964556657","https://openalex.org/W2971000934","https://openalex.org/W2974576232","https://openalex.org/W2985775862","https://openalex.org/W3034604951","https://openalex.org/W3104557502","https://openalex.org/W3107156787","https://openalex.org/W3189092450","https://openalex.org/W4232613155","https://openalex.org/W4287863801","https://openalex.org/W4297808394","https://openalex.org/W6605121731","https://openalex.org/W6640963894","https://openalex.org/W6677881100","https://openalex.org/W6681423220","https://openalex.org/W6682948231","https://openalex.org/W6685261749","https://openalex.org/W6694517276","https://openalex.org/W6697658144","https://openalex.org/W6717434760","https://openalex.org/W6739696289","https://openalex.org/W6747837047","https://openalex.org/W6754278344","https://openalex.org/W6755647638","https://openalex.org/W6767088534","https://openalex.org/W6771531989"],"related_works":["https://openalex.org/W2040503211","https://openalex.org/W3192645019","https://openalex.org/W2031347084","https://openalex.org/W3014239205","https://openalex.org/W2204549569","https://openalex.org/W4310825147","https://openalex.org/W4312637486","https://openalex.org/W3201632203","https://openalex.org/W1588787733","https://openalex.org/W4285813118"],"abstract_inverted_index":{"Depth":[0],"estimation":[1,54],"from":[2],"single":[3],"monocular":[4,52],"image":[5],"is":[6,59,88],"a":[7,47,65,96,104],"vital":[8],"but":[9,25],"challenging":[10],"task":[11],"in":[12,142],"3D":[13],"vision":[14],"and":[15,39,76,85,113,160,173],"scene":[16],"understanding.":[17],"Previous":[18],"unsupervised":[19],"methods":[20],"have":[21,31],"yielded":[22],"impressive":[23],"results,":[24],"the":[26,80,83,126,133,139,143,167,170],"predicted":[27,144],"depth":[28,53,111,145],"maps":[29,112,146],"still":[30],"several":[32],"disadvantages":[33],"such":[34,157],"as":[35,158],"missing":[36],"small":[37,130],"objects":[38,140],"object":[40],"edge":[41,141],"blurring.":[42],"To":[43],"address":[44],"these":[45],"problems,":[46],"multi-scale":[48,66,118],"spatial":[49,67,73,77,119],"attention":[50],"guided":[51],"method":[55,172],"with":[56],"semantic":[57,114,135],"enhancement":[58],"proposed.":[60],"Specifically,":[61],"we":[62,102],"first":[63],"construct":[64],"attention-guided":[68,120],"block":[69,121],"based":[70],"on":[71,125,129,153],"atrous":[72],"pyramid":[74],"pooling":[75],"attention.":[78],"Then,":[79],"correlation":[81],"between":[82],"left":[84],"right":[86],"views":[87],"fully":[89],"explored":[90],"by":[91],"mutual":[92],"information":[93,136],"to":[94,108],"obtain":[95],"more":[97,124,147],"robust":[98],"feature":[99],"representation.":[100],"Finally,":[101],"design":[103],"double-path":[105],"prediction":[106],"network":[107],"simultaneously":[109],"generate":[110],"labels.":[115],"The":[116,162],"proposed":[117,171],"can":[122],"focus":[123],"objects,":[127],"especially":[128],"objects.":[131],"Moreover,":[132],"additional":[134],"also":[137],"enables":[138],"sharper.":[148],"We":[149],"conduct":[150],"comprehensive":[151],"evaluations":[152],"public":[154],"benchmark":[155],"datasets,":[156],"KITTI":[159],"Make3D.":[161],"experiment":[163],"results":[164],"well":[165],"demonstrate":[166],"effectiveness":[168],"of":[169],"achieve":[174],"better":[175],"performance":[176],"than":[177],"other":[178],"self-supervised":[179],"methods.":[180]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":12},{"year":2024,"cited_by_count":11},{"year":2023,"cited_by_count":9},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
