{"id":"https://openalex.org/W3160525876","doi":"https://doi.org/10.1109/icpr48806.2021.9412670","title":"Multi-Scale Residual Pyramid Attention Network for Monocular Depth Estimation","display_name":"Multi-Scale Residual Pyramid Attention Network for Monocular Depth Estimation","publication_year":2021,"publication_date":"2021-01-10","ids":{"openalex":"https://openalex.org/W3160525876","doi":"https://doi.org/10.1109/icpr48806.2021.9412670","mag":"3160525876"},"language":"en","primary_location":{"id":"doi:10.1109/icpr48806.2021.9412670","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr48806.2021.9412670","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 25th International Conference on Pattern Recognition (ICPR)","raw_type":"proceedings-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/A5100375136","display_name":"Jing Liu","orcid":"https://orcid.org/0000-0003-4690-1886"},"institutions":[{"id":"https://openalex.org/I94611258","display_name":"Hebei Normal University","ror":"https://ror.org/004rbbw49","country_code":"CN","type":"education","lineage":["https://openalex.org/I94611258"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jing Liu","raw_affiliation_strings":["College of Computer and Cyber Security, Hebei Normal University, Shijiazhuang, Hebei, China"],"affiliations":[{"raw_affiliation_string":"College of Computer and Cyber Security, Hebei Normal University, Shijiazhuang, Hebei, China","institution_ids":["https://openalex.org/I94611258"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101753528","display_name":"Xiaona Zhang","orcid":"https://orcid.org/0000-0002-8643-3792"},"institutions":[{"id":"https://openalex.org/I94611258","display_name":"Hebei Normal University","ror":"https://ror.org/004rbbw49","country_code":"CN","type":"education","lineage":["https://openalex.org/I94611258"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaona Zhang","raw_affiliation_strings":["College of Computer and Cyber Security, Hebei Normal University, Shijiazhuang, Hebei, China"],"affiliations":[{"raw_affiliation_string":"College of Computer and Cyber Security, Hebei Normal University, Shijiazhuang, Hebei, China","institution_ids":["https://openalex.org/I94611258"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067608694","display_name":"Zhaoxin Li","orcid":"https://orcid.org/0000-0001-5450-8131"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhaoxin Li","raw_affiliation_strings":["Beijing Key Laboratory of Mobile Computing and Pervasive Device, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Mobile Computing and Pervasive Device, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210090176","https://openalex.org/I19820366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001141015","display_name":"Tianlu Mao","orcid":"https://orcid.org/0000-0003-2537-9873"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tianlu Mao","raw_affiliation_strings":["Beijing Key Laboratory of Mobile Computing and Pervasive Device, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Mobile Computing and Pervasive Device, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210090176","https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100375136"],"corresponding_institution_ids":["https://openalex.org/I94611258"],"apc_list":null,"apc_paid":null,"fwci":0.5826,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.67724996,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"5137","last_page":"5144"},"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":0.9977999925613403,"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/T10638","display_name":"Optical measurement and interference techniques","score":0.9965000152587891,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7755697965621948},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7526343464851379},{"id":"https://openalex.org/keywords/pyramid","display_name":"Pyramid (geometry)","score":0.7359729409217834},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.7162067890167236},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6551162600517273},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.639009952545166},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6149731278419495},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6098568439483643},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5375131964683533},{"id":"https://openalex.org/keywords/monocular","display_name":"Monocular","score":0.5316444039344788},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.5058355331420898},{"id":"https://openalex.org/keywords/spatial-contextual-awareness","display_name":"Spatial contextual awareness","score":0.48535266518592834},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.44232290983200073},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.41277217864990234},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3427412509918213},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.18363982439041138},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13996729254722595},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.11917167901992798},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.06525707244873047}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7755697965621948},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7526343464851379},{"id":"https://openalex.org/C142575187","wikidata":"https://www.wikidata.org/wiki/Q3358290","display_name":"Pyramid (geometry)","level":2,"score":0.7359729409217834},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.7162067890167236},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6551162600517273},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.639009952545166},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6149731278419495},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6098568439483643},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5375131964683533},{"id":"https://openalex.org/C65909025","wikidata":"https://www.wikidata.org/wiki/Q1945033","display_name":"Monocular","level":2,"score":0.5316444039344788},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.5058355331420898},{"id":"https://openalex.org/C64754055","wikidata":"https://www.wikidata.org/wiki/Q7574053","display_name":"Spatial contextual awareness","level":2,"score":0.48535266518592834},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.44232290983200073},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.41277217864990234},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3427412509918213},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.18363982439041138},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13996729254722595},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.11917167901992798},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.06525707244873047},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icpr48806.2021.9412670","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr48806.2021.9412670","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 25th International Conference on Pattern Recognition (ICPR)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.6399999856948853}],"awards":[{"id":"https://openalex.org/G1789604322","display_name":null,"funder_award_id":"61532002,61702482,61802109","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4564323324","display_name":null,"funder_award_id":"F2020205006","funder_id":"https://openalex.org/F4320322163","funder_display_name":"Natural Science Foundation of Hebei Province"},{"id":"https://openalex.org/G4683906108","display_name":null,"funder_award_id":"L2018K02","funder_id":"https://openalex.org/F4320310908","funder_display_name":"Hebei Normal University of Science and Technology"},{"id":"https://openalex.org/G7190357054","display_name":null,"funder_award_id":"91938301","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320310908","display_name":"Hebei Normal University of Science and Technology","ror":"https://ror.org/05g1mag11"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322163","display_name":"Natural Science Foundation of Hebei Province","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":45,"referenced_works":["https://openalex.org/W125693051","https://openalex.org/W1772650917","https://openalex.org/W1905829557","https://openalex.org/W1923184257","https://openalex.org/W2074254947","https://openalex.org/W2100495367","https://openalex.org/W2117248802","https://openalex.org/W2132947399","https://openalex.org/W2150066425","https://openalex.org/W2158211626","https://openalex.org/W2163605009","https://openalex.org/W2171740948","https://openalex.org/W2300779272","https://openalex.org/W2302536575","https://openalex.org/W2566265240","https://openalex.org/W2594519801","https://openalex.org/W2792472361","https://openalex.org/W2804488433","https://openalex.org/W2889002172","https://openalex.org/W2914530407","https://openalex.org/W2951234442","https://openalex.org/W2955058313","https://openalex.org/W2962807621","https://openalex.org/W2963091558","https://openalex.org/W2963403868","https://openalex.org/W2963488291","https://openalex.org/W2963502507","https://openalex.org/W2963591054","https://openalex.org/W2963911235","https://openalex.org/W2964014680","https://openalex.org/W2964912923","https://openalex.org/W2997225633","https://openalex.org/W3005302484","https://openalex.org/W3106441352","https://openalex.org/W3120644635","https://openalex.org/W4385245566","https://openalex.org/W6605121731","https://openalex.org/W6638039622","https://openalex.org/W6683067110","https://openalex.org/W6684191040","https://openalex.org/W6685261749","https://openalex.org/W6697658144","https://openalex.org/W6751733626","https://openalex.org/W6758554110","https://openalex.org/W6773161693"],"related_works":["https://openalex.org/W2560215812","https://openalex.org/W2949601986","https://openalex.org/W2788972299","https://openalex.org/W4285411112","https://openalex.org/W2521347458","https://openalex.org/W2085033728","https://openalex.org/W2498789492","https://openalex.org/W4249847449","https://openalex.org/W2171299904","https://openalex.org/W2729981612"],"abstract_inverted_index":{"Monocular":[0],"depth":[1],"estimation":[2,29],"is":[3,11],"a":[4,77],"challenging":[5],"problem":[6],"in":[7,42,46,135,174],"computer":[8],"vision":[9],"and":[10,40,54,91,100,107,131,159,177],"crucial":[12],"for":[13],"understanding":[14],"3D":[15],"scene":[16,151],"geometry.":[17],"Recently,":[18],"deep":[19],"convolutional":[20],"neural":[21],"networks":[22],"(DCNNs)":[23],"based":[24],"methods":[25,34],"have":[26],"improved":[27,142],"the":[28,98,110,116,129,136,150],"accuracy":[30],"significantly.":[31],"However,":[32],"existing":[33],"fail":[35],"to":[36,70,122,147,155],"consider":[37],"complex":[38,133],"textures":[39],"geometries":[41],"scenes,":[43],"thereby":[44],"resulting":[45],"loss":[47],"of":[48,86,103,128],"local":[49,162,178],"details,":[50],"distorted":[51],"object":[52,175],"boundaries,":[53],"blurry":[55],"reconstruction.":[56],"In":[57],"this":[58],"paper,":[59],"we":[60,75,139],"proposed":[61,111,140],"an":[62,141],"end-to-end":[63],"multi-scale":[64,78],"residual":[65,143],"pyramid":[66],"attention":[67,79,88,93],"network":[68],"(MRPAN)":[69],"mitigate":[71],"these":[72],"problems.":[73],"First,":[74],"propose":[76],"context":[80,126],"aggregation":[81],"(MACA)":[82],"module,":[83],"which":[84],"consists":[85],"spatial":[87,106],"module":[89,94,112,145],"(SAM)":[90],"global":[92,108,125],"(GAM).":[95],"By":[96],"considering":[97],"position":[99],"scale":[101],"correlation":[102],"pixels":[104,119],"from":[105],"perspectives,":[109],"can":[113],"adaptively":[114],"learn":[115],"similarity":[117],"between":[118],"so":[120],"as":[121],"obtain":[123],"more":[124,161,171],"information":[127,158],"image":[130],"recover":[132],"structures":[134],"scene.":[137],"Then":[138],"refinement":[144],"(RRM)":[146],"further":[148],"refine":[149],"structure,":[152],"giving":[153],"rise":[154],"deeper":[156],"semantic":[157],"retain":[160],"details.":[163],"Experimental":[164],"results":[165],"show":[166],"that":[167],"our":[168],"method":[169],"achieves":[170],"promising":[172],"performance":[173],"boundaries":[176],"details":[179],"compared":[180],"with":[181],"other":[182],"state-of-the-art":[183],"methods.":[184]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1}],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}
