{"id":"https://openalex.org/W3122184312","doi":"https://doi.org/10.3390/s21030690","title":"Semantic Segmentation Leveraging Simultaneous Depth Estimation","display_name":"Semantic Segmentation Leveraging Simultaneous Depth Estimation","publication_year":2021,"publication_date":"2021-01-20","ids":{"openalex":"https://openalex.org/W3122184312","doi":"https://doi.org/10.3390/s21030690","mag":"3122184312","pmid":"https://pubmed.ncbi.nlm.nih.gov/33498358"},"language":"en","primary_location":{"id":"doi:10.3390/s21030690","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s21030690","pdf_url":"https://www.mdpi.com/1424-8220/21/3/690/pdf","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1424-8220/21/3/690/pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5022191588","display_name":"Wenbo Sun","orcid":"https://orcid.org/0000-0001-6297-6728"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Wenbo Sun","raw_affiliation_strings":["School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084683976","display_name":"Zhi Gao","orcid":"https://orcid.org/0000-0003-3325-1183"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhi Gao","raw_affiliation_strings":["School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, China"],"raw_orcid":"https://orcid.org/0000-0003-3325-1183","affiliations":[{"raw_affiliation_string":"School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062631244","display_name":"Jinqiang Cui","orcid":"https://orcid.org/0000-0002-7833-1876"},"institutions":[{"id":"https://openalex.org/I4210136793","display_name":"Peng Cheng Laboratory","ror":"https://ror.org/03qdqbt06","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210136793"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinqiang Cui","raw_affiliation_strings":["Peng Cheng Laboratory, Shenzhen 518055, China"],"raw_orcid":"https://orcid.org/0000-0002-7833-1876","affiliations":[{"raw_affiliation_string":"Peng Cheng Laboratory, Shenzhen 518055, China","institution_ids":["https://openalex.org/I4210136793"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073814270","display_name":"Bharath Ramesh","orcid":"https://orcid.org/0000-0001-8230-3803"},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Bharath Ramesh","raw_affiliation_strings":["The N.1 Institute for Health, National University of Singapore, Singapore 117411, Singapore"],"raw_orcid":"https://orcid.org/0000-0001-8230-3803","affiliations":[{"raw_affiliation_string":"The N.1 Institute for Health, National University of Singapore, Singapore 117411, Singapore","institution_ids":["https://openalex.org/I165932596"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100392796","display_name":"Bin Zhang","orcid":"https://orcid.org/0000-0001-9545-2760"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bin Zhang","raw_affiliation_strings":["School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, China"],"raw_orcid":"https://orcid.org/0000-0001-9545-2760","affiliations":[{"raw_affiliation_string":"School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5078276870","display_name":"Ziyao Li","orcid":"https://orcid.org/0000-0003-0955-8265"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ziyao Li","raw_affiliation_strings":["School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, China","institution_ids":["https://openalex.org/I37461747"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5022191588","https://openalex.org/A5084683976"],"corresponding_institution_ids":["https://openalex.org/I37461747"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2673},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2673},"fwci":0.892,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.76471878,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"21","issue":"3","first_page":"690","last_page":"690"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing 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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9993000030517578,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9991000294685364,"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":0.7982600331306458},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7808519601821899},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.7521635293960571},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.687436580657959},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6063926219940186},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.563318133354187},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.528087317943573},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.5105989575386047},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.47396963834762573},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4714955687522888},{"id":"https://openalex.org/keywords/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.4583640992641449},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4326227903366089},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.07579517364501953}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7982600331306458},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7808519601821899},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7521635293960571},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.687436580657959},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6063926219940186},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.563318133354187},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.528087317943573},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.5105989575386047},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.47396963834762573},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4714955687522888},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.4583640992641449},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4326227903366089},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.07579517364501953},{"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/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0}],"mesh":[],"locations_count":7,"locations":[{"id":"doi:10.3390/s21030690","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s21030690","pdf_url":"https://www.mdpi.com/1424-8220/21/3/690/pdf","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},{"id":"pmid:33498358","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/33498358","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":"Sensors (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:scholarbank.nus.edu.sg:10635/233799","is_oa":true,"landing_page_url":"https://scholarbank.nus.edu.sg/handle/10635/233799","pdf_url":null,"source":{"id":"https://openalex.org/S7407052290","display_name":"National University of Singapore","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","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Scopus OA2021","raw_type":"Article"},{"id":"pmh:oai:doaj.org/article:a01b5c4311114cb4ba63fa971196fbd5","is_oa":true,"landing_page_url":"https://doaj.org/article/a01b5c4311114cb4ba63fa971196fbd5","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":"Sensors, Vol 21, Iss 3, p 690 (2021)","raw_type":"article"},{"id":"pmh:oai:europepmc.org:6770734","is_oa":true,"landing_page_url":"http://europepmc.org/pmc/articles/PMC7864030","pdf_url":null,"source":{"id":"https://openalex.org/S4306400806","display_name":"Europe PMC (PubMed Central)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1303153112","host_organization_name":"European Bioinformatics Institute","host_organization_lineage":["https://openalex.org/I1303153112"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"},{"id":"pmh:oai:mdpi.com:/1424-8220/21/3/690/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/s21030690","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors; Volume 21; Issue 3; Pages: 690","raw_type":"Text"},{"id":"pmh:oai:pubmedcentral.nih.gov:7864030","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/7864030","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors (Basel)","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/s21030690","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s21030690","pdf_url":"https://www.mdpi.com/1424-8220/21/3/690/pdf","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3122184312.pdf"},"referenced_works_count":106,"referenced_works":["https://openalex.org/W125693051","https://openalex.org/W1565402342","https://openalex.org/W1677182931","https://openalex.org/W1686810756","https://openalex.org/W1817277359","https://openalex.org/W1903029394","https://openalex.org/W1905829557","https://openalex.org/W1923697677","https://openalex.org/W1972885239","https://openalex.org/W1999478155","https://openalex.org/W2014764711","https://openalex.org/W2031489346","https://openalex.org/W2067191022","https://openalex.org/W2097117768","https://openalex.org/W2102492119","https://openalex.org/W2109521789","https://openalex.org/W2111077768","https://openalex.org/W2112538708","https://openalex.org/W2124592697","https://openalex.org/W2125849446","https://openalex.org/W2130898597","https://openalex.org/W2133059825","https://openalex.org/W2154825246","https://openalex.org/W2167233733","https://openalex.org/W2167687475","https://openalex.org/W2171295735","https://openalex.org/W2171740948","https://openalex.org/W2194775991","https://openalex.org/W2216866274","https://openalex.org/W2221101993","https://openalex.org/W2229637417","https://openalex.org/W2286929393","https://openalex.org/W2339172515","https://openalex.org/W2342840547","https://openalex.org/W2412782625","https://openalex.org/W2431874326","https://openalex.org/W2464708700","https://openalex.org/W2485522583","https://openalex.org/W2489780108","https://openalex.org/W2507296351","https://openalex.org/W2513586865","https://openalex.org/W2555182955","https://openalex.org/W2560023338","https://openalex.org/W2563705555","https://openalex.org/W2587989515","https://openalex.org/W2600777408","https://openalex.org/W2604455318","https://openalex.org/W2607363228","https://openalex.org/W2609883120","https://openalex.org/W2630837129","https://openalex.org/W2725845700","https://openalex.org/W2735039185","https://openalex.org/W2736477269","https://openalex.org/W2745943519","https://openalex.org/W2770180314","https://openalex.org/W2775906317","https://openalex.org/W2785512290","https://openalex.org/W2793484370","https://openalex.org/W2796438033","https://openalex.org/W2798410215","https://openalex.org/W2799213142","https://openalex.org/W2804488433","https://openalex.org/W2805395174","https://openalex.org/W2830339951","https://openalex.org/W2884822772","https://openalex.org/W2890782586","https://openalex.org/W2893801697","https://openalex.org/W2895340641","https://openalex.org/W2901241793","https://openalex.org/W2924464923","https://openalex.org/W2940262938","https://openalex.org/W2946081696","https://openalex.org/W2951234442","https://openalex.org/W2951261569","https://openalex.org/W2951620021","https://openalex.org/W2951839332","https://openalex.org/W2955058313","https://openalex.org/W2962676885","https://openalex.org/W2963038646","https://openalex.org/W2963108253","https://openalex.org/W2963163009","https://openalex.org/W2963300546","https://openalex.org/W2963318290","https://openalex.org/W2963412495","https://openalex.org/W2963488291","https://openalex.org/W2963563573","https://openalex.org/W2963654727","https://openalex.org/W2963728677","https://openalex.org/W2963881378","https://openalex.org/W2963896186","https://openalex.org/W2963906250","https://openalex.org/W2964046724","https://openalex.org/W2964309882","https://openalex.org/W2966634313","https://openalex.org/W2971014764","https://openalex.org/W2981669902","https://openalex.org/W2981689412","https://openalex.org/W2985775862","https://openalex.org/W2990946490","https://openalex.org/W3016625911","https://openalex.org/W3034562924","https://openalex.org/W3034604951","https://openalex.org/W3035358681","https://openalex.org/W3105636206","https://openalex.org/W6685261749","https://openalex.org/W6723169197"],"related_works":["https://openalex.org/W2185902295","https://openalex.org/W2103507220","https://openalex.org/W3144569342","https://openalex.org/W4313052709","https://openalex.org/W2945274617","https://openalex.org/W2022929107","https://openalex.org/W2055202857","https://openalex.org/W4205800335","https://openalex.org/W2758994127","https://openalex.org/W2386644571"],"abstract_inverted_index":{"Semantic":[0],"segmentation":[1,94,106,187,197],"is":[2,137],"one":[3],"of":[4,22,26,47,75,85],"the":[5,48,70,78,83,130,134,141,149,164,186],"most":[6],"widely":[7],"studied":[8],"problems":[9],"in":[10,68,77,145],"computer":[11],"vision":[12],"communities,":[13],"which":[14,88,136],"makes":[15],"a":[16,20,37,102,123,158],"great":[17,66],"contribution":[18,39],"to":[19,40,82,91,139,147,195],"variety":[21],"applications.":[23],"A":[24],"lot":[25],"learning-based":[27],"approaches,":[28],"such":[29],"as":[30],"Convolutional":[31],"Neural":[32],"Network":[33],"(CNN),":[34],"have":[35,65],"made":[36],"vast":[38],"this":[41,98],"problem.":[42],"While":[43],"rich":[44],"context":[45],"information":[46,118],"input":[49],"images":[50,121,154],"can":[51,184],"be":[52],"learned":[53],"from":[54],"multi-scale":[55],"receptive":[56],"fields":[57],"by":[58,170],"convolutions":[59],"with":[60,108],"deep":[61],"layers,":[62],"traditional":[63],"CNNs":[64],"difficulty":[67],"learning":[69],"geometrical":[71],"relationship":[72],"and":[73,127,152,162,166,190],"distribution":[74],"objects":[76],"RGB":[79,112,120,153,165],"image":[80],"due":[81],"lack":[84],"depth":[86,109,117,124,131,150,167],"information,":[87],"may":[89],"lead":[90],"an":[92],"inferior":[93],"quality.":[95],"To":[96],"solve":[97],"problem,":[99],"we":[100,115,156],"propose":[101],"method":[103,183],"that":[104,180],"improves":[105],"quality":[107,188],"estimation":[110,125],"on":[111,119,175],"images.":[113],"Specifically,":[114],"estimate":[116],"via":[122],"network,":[126],"then":[128],"feed":[129],"map":[132,151],"into":[133],"CNN":[135],"able":[138],"guide":[140],"semantic":[142],"segmentation.":[143],"Furthermore,":[144],"order":[146],"parse":[148],"simultaneously,":[155],"construct":[157],"multi-branch":[159],"encoder-decoder":[160],"network":[161],"fuse":[163],"features":[168],"step":[169],"step.":[171],"Extensive":[172],"experimental":[173],"evaluation":[174],"four":[176],"baseline":[177],"networks":[178],"demonstrates":[179],"our":[181],"proposed":[182],"enhance":[185],"considerably":[189],"obtain":[191],"better":[192],"performance":[193],"compared":[194],"other":[196],"networks.":[198]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}