{"id":"https://openalex.org/W3038274920","doi":"https://doi.org/10.1109/access.2020.3006704","title":"Monocular Depth Prediction With Residual DenseASPP Network","display_name":"Monocular Depth Prediction With Residual DenseASPP Network","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3038274920","doi":"https://doi.org/10.1109/access.2020.3006704","mag":"3038274920"},"language":"en","primary_location":{"id":"doi:10.1109/access.2020.3006704","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3006704","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09131704.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09131704.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100609001","display_name":"Kewei Wu","orcid":"https://orcid.org/0000-0002-7332-5653"},"institutions":[{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kewei Wu","raw_affiliation_strings":["Key Laboratory of Knowledge Engineering with Big Data, Hefei University of Technology, Ministry of Education, Hefei, China","School of Computer and Information, Hefei University of Technology, Hefei, China"],"raw_orcid":"https://orcid.org/0000-0002-7332-5653","affiliations":[{"raw_affiliation_string":"Key Laboratory of Knowledge Engineering with Big Data, Hefei University of Technology, Ministry of Education, Hefei, China","institution_ids":["https://openalex.org/I16365422"]},{"raw_affiliation_string":"School of Computer and Information, Hefei University of Technology, Hefei, China","institution_ids":["https://openalex.org/I16365422"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103324614","display_name":"Shunran Zhang","orcid":"https://orcid.org/0000-0002-2591-1826"},"institutions":[{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shunran Zhang","raw_affiliation_strings":["Key Laboratory of Knowledge Engineering with Big Data, Hefei University of Technology, Ministry of Education, Hefei, China","School of Computer and Information, Hefei University of Technology, Hefei, China"],"raw_orcid":"https://orcid.org/0000-0002-2591-1826","affiliations":[{"raw_affiliation_string":"Key Laboratory of Knowledge Engineering with Big Data, Hefei University of Technology, Ministry of Education, Hefei, China","institution_ids":["https://openalex.org/I16365422"]},{"raw_affiliation_string":"School of Computer and Information, Hefei University of Technology, Hefei, China","institution_ids":["https://openalex.org/I16365422"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100457290","display_name":"Zhao Xie","orcid":"https://orcid.org/0000-0001-9834-4730"},"institutions":[{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhao Xie","raw_affiliation_strings":["Key Laboratory of Knowledge Engineering with Big Data, Hefei University of Technology, Ministry of Education, Hefei, China","School of Computer and Information, Hefei University of Technology, Hefei, China"],"raw_orcid":"https://orcid.org/0000-0001-9834-4730","affiliations":[{"raw_affiliation_string":"Key Laboratory of Knowledge Engineering with Big Data, Hefei University of Technology, Ministry of Education, Hefei, China","institution_ids":["https://openalex.org/I16365422"]},{"raw_affiliation_string":"School of Computer and Information, Hefei University of Technology, Hefei, China","institution_ids":["https://openalex.org/I16365422"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.2937,"has_fulltext":true,"cited_by_count":6,"citation_normalized_percentile":{"value":0.56169121,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"8","issue":null,"first_page":"129899","last_page":"129910"},"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":0.9980999827384949,"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":0.9977999925613403,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.8207828998565674},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.7900052070617676},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.756013810634613},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.726658046245575},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.6696070432662964},{"id":"https://openalex.org/keywords/monocular","display_name":"Monocular","score":0.6407537460327148},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.5944432020187378},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5738500356674194},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.5268387198448181},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5136496424674988},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4644484519958496},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.45184022188186646},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.42483046650886536},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.26626092195510864},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15055310726165771}],"concepts":[{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.8207828998565674},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.7900052070617676},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.756013810634613},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.726658046245575},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.6696070432662964},{"id":"https://openalex.org/C65909025","wikidata":"https://www.wikidata.org/wiki/Q1945033","display_name":"Monocular","level":2,"score":0.6407537460327148},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.5944432020187378},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5738500356674194},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.5268387198448181},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5136496424674988},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4644484519958496},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.45184022188186646},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.42483046650886536},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.26626092195510864},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15055310726165771},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2020.3006704","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3006704","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09131704.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:09346dda744540b191ed994dbce1482a","is_oa":true,"landing_page_url":"https://doaj.org/article/09346dda744540b191ed994dbce1482a","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 8, Pp 129899-129910 (2020)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2020.3006704","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3006704","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09131704.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.41999998688697815,"id":"https://metadata.un.org/sdg/11"}],"awards":[{"id":"https://openalex.org/G5166017099","display_name":null,"funder_award_id":"1808085MF168","funder_id":"https://openalex.org/F4320334897","funder_display_name":"Natural Science Foundation of Anhui Province"},{"id":"https://openalex.org/G6400325034","display_name":null,"funder_award_id":"2017YFB1002203","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G7711205257","display_name":null,"funder_award_id":"61503111","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation 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/F4320334897","display_name":"Natural Science Foundation of Anhui Province","ror":null},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3038274920.pdf","grobid_xml":"https://content.openalex.org/works/W3038274920.grobid-xml"},"referenced_works_count":62,"referenced_works":["https://openalex.org/W125693051","https://openalex.org/W1149686452","https://openalex.org/W1533861849","https://openalex.org/W1554663460","https://openalex.org/W1803059841","https://openalex.org/W1849277567","https://openalex.org/W1905829557","https://openalex.org/W1915250530","https://openalex.org/W1923697677","https://openalex.org/W1949049686","https://openalex.org/W2022532533","https://openalex.org/W2026203852","https://openalex.org/W2065906272","https://openalex.org/W2107878631","https://openalex.org/W2117539524","https://openalex.org/W2117812871","https://openalex.org/W2125416623","https://openalex.org/W2132947399","https://openalex.org/W2156094778","https://openalex.org/W2158211626","https://openalex.org/W2194775991","https://openalex.org/W2412782625","https://openalex.org/W2436453945","https://openalex.org/W2557728737","https://openalex.org/W2559597482","https://openalex.org/W2560903357","https://openalex.org/W2593414960","https://openalex.org/W2605938684","https://openalex.org/W2606794968","https://openalex.org/W2609883120","https://openalex.org/W2630837129","https://openalex.org/W2769945355","https://openalex.org/W2798414551","https://openalex.org/W2798727000","https://openalex.org/W2798927139","https://openalex.org/W2799213142","https://openalex.org/W2887479417","https://openalex.org/W2895401575","https://openalex.org/W2896783557","https://openalex.org/W2949023359","https://openalex.org/W2960206397","https://openalex.org/W2961343177","https://openalex.org/W2962741876","https://openalex.org/W2962804601","https://openalex.org/W2962807621","https://openalex.org/W2962952719","https://openalex.org/W2963370235","https://openalex.org/W2963446712","https://openalex.org/W2963488291","https://openalex.org/W2963591054","https://openalex.org/W2963654727","https://openalex.org/W2963794138","https://openalex.org/W2964309882","https://openalex.org/W2985775862","https://openalex.org/W4300798802","https://openalex.org/W4388297464","https://openalex.org/W6605121731","https://openalex.org/W6631943919","https://openalex.org/W6640295612","https://openalex.org/W6683067110","https://openalex.org/W6712702053","https://openalex.org/W6739696289"],"related_works":["https://openalex.org/W2560215812","https://openalex.org/W2949601986","https://openalex.org/W4390516098","https://openalex.org/W2788972299","https://openalex.org/W2521347458","https://openalex.org/W4391621807","https://openalex.org/W2498789492","https://openalex.org/W2181948922","https://openalex.org/W2384362569","https://openalex.org/W2990636717"],"abstract_inverted_index":{"Monocular":[0],"depth":[1],"estimation":[2],"is":[3,94,111],"an":[4,52],"ill-posed":[5],"problem":[6],"because":[7],"infinite":[8],"3D":[9],"scenes":[10],"can":[11],"be":[12],"projected":[13],"to":[14,80,96,113],"the":[15,91,101,108],"same":[16,102],"2D":[17],"scenes.":[18],"Most":[19],"recent":[20],"methods":[21],"focus":[22],"on":[23,51,150],"image-level":[24],"information":[25],"from":[26,36],"deep":[27],"convolutional":[28],"neural":[29],"networks,":[30],"while":[31,131],"training":[32],"them":[33],"may":[34],"suffer":[35],"slow":[37],"convergence":[38,137],"and":[39,46,74,104,153],"accuracy":[40],"degeneration,":[41],"especially":[42],"for":[43],"deeper":[44],"network":[45],"more":[47,98,126],"feature":[48,88,105,129,139],"channels.":[49],"Based":[50],"encoder-decoder":[53],"framework,":[54],"we":[55,67],"propose":[56],"a":[57],"novel":[58],"Residual":[59,64],"DenseASPP":[60,65],"Network.":[61],"In":[62],"our":[63,144],"network,":[66],"define":[68],"features":[69,73,83,99,124,134],"as":[70],"low/mid/high":[71],"vision":[72,123,133],"use":[75],"two-kinds":[76],"of":[77],"skip":[78],"connection":[79],"learn":[81],"useful":[82],"with":[84],"certain":[85],"layers,":[86],"where":[87],"concentration":[89],"in":[90,100,107],"dense":[92],"block":[93,110],"used":[95,112],"generate":[97],"layer,":[103],"summation":[106],"residual":[109],"increase":[114],"backward":[115],"gradient.":[116],"The":[117],"experimental":[118],"results":[119],"show":[120,142],"that":[121,143],"high":[122],"require":[125],"channels":[127],"by":[128,138],"concentration,":[130],"low/mid":[132],"need":[135],"better":[136],"summation.":[140],"Experiments":[141],"proposed":[145],"approach":[146],"achieves":[147],"state-of-the-art":[148],"performance":[149],"both":[151],"NYUv2":[152],"Make3D":[154],"datasets.":[155]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}