{"id":"https://openalex.org/W4387546897","doi":"https://doi.org/10.1109/tpami.2023.3323858","title":"Booster: A Benchmark for Depth From Images of Specular and Transparent Surfaces","display_name":"Booster: A Benchmark for Depth From Images of Specular and Transparent Surfaces","publication_year":2023,"publication_date":"2023-10-11","ids":{"openalex":"https://openalex.org/W4387546897","doi":"https://doi.org/10.1109/tpami.2023.3323858","pmid":"https://pubmed.ncbi.nlm.nih.gov/37819829"},"language":"en","primary_location":{"id":"doi:10.1109/tpami.2023.3323858","is_oa":true,"landing_page_url":"https://doi.org/10.1109/tpami.2023.3323858","pdf_url":"https://ieeexplore.ieee.org/ielx7/34/4359286/10278453.pdf","source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://ieeexplore.ieee.org/ielx7/34/4359286/10278453.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5054437049","display_name":"Pierluigi Zama Ramirez","orcid":"https://orcid.org/0000-0001-7734-5064"},"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":true,"raw_author_name":"Pierluigi Zama Ramirez","raw_affiliation_strings":["Department of Computer Science and Engineering, University of Bologna, Bologna, Italy"],"raw_orcid":"https://orcid.org/0000-0001-7734-5064","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, University of Bologna, Bologna, Italy","institution_ids":["https://openalex.org/I9360294"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042741316","display_name":"Alex Costanzino","orcid":"https://orcid.org/0000-0001-9859-8482"},"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":"Alex Costanzino","raw_affiliation_strings":["Department of Computer Science and Engineering, University of Bologna, Bologna, Italy"],"raw_orcid":"https://orcid.org/0000-0001-9859-8482","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, University of Bologna, Bologna, Italy","institution_ids":["https://openalex.org/I9360294"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025804456","display_name":"Fabio Tosi","orcid":"https://orcid.org/0000-0002-6276-5282"},"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":"Fabio Tosi","raw_affiliation_strings":["Department of Computer Science and Engineering, University of Bologna, Bologna, Italy"],"raw_orcid":"https://orcid.org/0000-0002-6276-5282","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, University of Bologna, Bologna, Italy","institution_ids":["https://openalex.org/I9360294"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036563362","display_name":"Matteo Poggi","orcid":"https://orcid.org/0000-0002-3337-2236"},"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":"Matteo Poggi","raw_affiliation_strings":["Department of Computer Science and Engineering, University of Bologna, Bologna, Italy"],"raw_orcid":"https://orcid.org/0000-0002-3337-2236","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, University of Bologna, Bologna, Italy","institution_ids":["https://openalex.org/I9360294"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055759201","display_name":"Samuele Salti","orcid":"https://orcid.org/0000-0001-5609-426X"},"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":"Samuele Salti","raw_affiliation_strings":["Department of Computer Science and Engineering, University of Bologna, Bologna, Italy"],"raw_orcid":"https://orcid.org/0000-0001-5609-426X","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, University of Bologna, Bologna, Italy","institution_ids":["https://openalex.org/I9360294"]}]},{"author_position":"middle","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, University of Bologna, Bologna, Italy"],"raw_orcid":"https://orcid.org/0000-0002-3681-7704","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, University of Bologna, Bologna, Italy","institution_ids":["https://openalex.org/I9360294"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5025618347","display_name":"Luigi Di Stefano","orcid":"https://orcid.org/0000-0001-6014-6421"},"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":"Luigi Di Stefano","raw_affiliation_strings":["Department of Computer Science and Engineering, University of Bologna, Bologna, Italy"],"raw_orcid":"https://orcid.org/0000-0001-6014-6421","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, University of Bologna, Bologna, Italy","institution_ids":["https://openalex.org/I9360294"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5054437049"],"corresponding_institution_ids":["https://openalex.org/I9360294"],"apc_list":null,"apc_paid":null,"fwci":2.6679,"has_fulltext":true,"cited_by_count":23,"citation_normalized_percentile":{"value":0.92023308,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"46","issue":"1","first_page":"85","last_page":"102"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9998999834060669,"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":0.9998999834060669,"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/T10638","display_name":"Optical measurement and interference techniques","score":0.9994000196456909,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7789738178253174},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7632596492767334},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6837942600250244},{"id":"https://openalex.org/keywords/specular-reflection","display_name":"Specular reflection","score":0.5737581849098206},{"id":"https://openalex.org/keywords/ground-truth","display_name":"Ground truth","score":0.5629730224609375},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.5529313087463379},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5269661545753479},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.49714139103889465},{"id":"https://openalex.org/keywords/monocular","display_name":"Monocular","score":0.4877956211566925},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.47521358728408813},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.44577503204345703},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.4156586527824402},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.33866384625434875},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.3294876217842102},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.1408366858959198},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.11454573273658752}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7789738178253174},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7632596492767334},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6837942600250244},{"id":"https://openalex.org/C118381688","wikidata":"https://www.wikidata.org/wiki/Q1079524","display_name":"Specular reflection","level":2,"score":0.5737581849098206},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.5629730224609375},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.5529313087463379},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5269661545753479},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.49714139103889465},{"id":"https://openalex.org/C65909025","wikidata":"https://www.wikidata.org/wiki/Q1945033","display_name":"Monocular","level":2,"score":0.4877956211566925},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.47521358728408813},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.44577503204345703},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.4156586527824402},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.33866384625434875},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.3294876217842102},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.1408366858959198},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.11454573273658752},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","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":4,"locations":[{"id":"doi:10.1109/tpami.2023.3323858","is_oa":true,"landing_page_url":"https://doi.org/10.1109/tpami.2023.3323858","pdf_url":"https://ieeexplore.ieee.org/ielx7/34/4359286/10278453.pdf","source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},{"id":"pmid:37819829","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/37819829","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 pattern analysis and machine intelligence","raw_type":null},{"id":"pmh:oai:cris.unibo.it:11585/955908","is_oa":true,"landing_page_url":"https://hdl.handle.net/11585/955908","pdf_url":"https://cris.unibo.it/bitstream/11585/955908/3/Booster_A_Benchmark_for_Depth_From_Images_of_Specular_and_Transparent_Surfaces.pdf","source":{"id":"https://openalex.org/S4306402579","display_name":"Archivio istituzionale della ricerca (Alma Mater Studiorum Universit\u00e0 di Bologna)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210117483","host_organization_name":"Istituto di Ematologia di Bologna","host_organization_lineage":["https://openalex.org/I4210117483"],"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":"","raw_type":"info:eu-repo/semantics/article"},{"id":"pmh:oai:iris.unive.it:10278/5115252","is_oa":true,"landing_page_url":"https://hdl.handle.net/10278/5115252","pdf_url":null,"source":{"id":"https://openalex.org/S4306402336","display_name":"ARCA (Universit\u00e0 Ca' Foscari Venezia)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I149461666","host_organization_name":"Ca' Foscari University of Venice","host_organization_lineage":["https://openalex.org/I149461666"],"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":null,"raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"doi:10.1109/tpami.2023.3323858","is_oa":true,"landing_page_url":"https://doi.org/10.1109/tpami.2023.3323858","pdf_url":"https://ieeexplore.ieee.org/ielx7/34/4359286/10278453.pdf","source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4387546897.pdf","grobid_xml":"https://content.openalex.org/works/W4387546897.grobid-xml"},"referenced_works_count":95,"referenced_works":["https://openalex.org/W63091017","https://openalex.org/W125693051","https://openalex.org/W1513100184","https://openalex.org/W1772650917","https://openalex.org/W1912649600","https://openalex.org/W1921093919","https://openalex.org/W2021851106","https://openalex.org/W2039580825","https://openalex.org/W2066657332","https://openalex.org/W2099712288","https://openalex.org/W2117248802","https://openalex.org/W2123782500","https://openalex.org/W2132541137","https://openalex.org/W2133255058","https://openalex.org/W2148534289","https://openalex.org/W2150066425","https://openalex.org/W2155479981","https://openalex.org/W2161714083","https://openalex.org/W2214868166","https://openalex.org/W2259424905","https://openalex.org/W2440384215","https://openalex.org/W2520707372","https://openalex.org/W2584471766","https://openalex.org/W2604231069","https://openalex.org/W2613818078","https://openalex.org/W2738441955","https://openalex.org/W2741885505","https://openalex.org/W2776033207","https://openalex.org/W2779124836","https://openalex.org/W2795912842","https://openalex.org/W2798373498","https://openalex.org/W2886322387","https://openalex.org/W2886944874","https://openalex.org/W2892614179","https://openalex.org/W2896174833","https://openalex.org/W2912836860","https://openalex.org/W2934279571","https://openalex.org/W2948384918","https://openalex.org/W2949023359","https://openalex.org/W2950496566","https://openalex.org/W2952813711","https://openalex.org/W2953804911","https://openalex.org/W2955189650","https://openalex.org/W2955639361","https://openalex.org/W2963231581","https://openalex.org/W2963277791","https://openalex.org/W2963316641","https://openalex.org/W2963496125","https://openalex.org/W2963591054","https://openalex.org/W2963619659","https://openalex.org/W2963760790","https://openalex.org/W2963872790","https://openalex.org/W2964185501","https://openalex.org/W2972581288","https://openalex.org/W2981518351","https://openalex.org/W2983735215","https://openalex.org/W2985775862","https://openalex.org/W3014263713","https://openalex.org/W3034275131","https://openalex.org/W3034428934","https://openalex.org/W3034475171","https://openalex.org/W3034960559","https://openalex.org/W3035289617","https://openalex.org/W3035508487","https://openalex.org/W3048395011","https://openalex.org/W3081167590","https://openalex.org/W3093769466","https://openalex.org/W3095980151","https://openalex.org/W3101424466","https://openalex.org/W3106635087","https://openalex.org/W3108103523","https://openalex.org/W3127535616","https://openalex.org/W3139658937","https://openalex.org/W3146873565","https://openalex.org/W3158427446","https://openalex.org/W3172573759","https://openalex.org/W3174458495","https://openalex.org/W3180199962","https://openalex.org/W3181256344","https://openalex.org/W4200150166","https://openalex.org/W4214520160","https://openalex.org/W4226062951","https://openalex.org/W4226265017","https://openalex.org/W4234282793","https://openalex.org/W4312259812","https://openalex.org/W4312388078","https://openalex.org/W4312693398","https://openalex.org/W4312871721","https://openalex.org/W6638039622","https://openalex.org/W6684620982","https://openalex.org/W6685261749","https://openalex.org/W6703405610","https://openalex.org/W6759084196","https://openalex.org/W6784085021","https://openalex.org/W6785830059"],"related_works":["https://openalex.org/W4389501116","https://openalex.org/W2559833131","https://openalex.org/W2730225583","https://openalex.org/W2175900582","https://openalex.org/W4388910335","https://openalex.org/W2033029047","https://openalex.org/W4353109604","https://openalex.org/W2123949214","https://openalex.org/W2738017471","https://openalex.org/W2755051635"],"abstract_inverted_index":{"Estimating":[0],"depth":[1,159],"from":[2],"images":[3],"nowadays":[4],"yields":[5],"outstanding":[6],"results,":[7],"both":[8,94],"in":[9,25,87,172],"terms":[10],"of":[11,83,114,141,155],"in-domain":[12],"accuracy":[13],"and":[14,32,46,58,73,132,145,157,168],"generalization.":[15],"However,":[16],"we":[17,38,125],"identify":[18],"two":[19,146],"main":[20],"challenges":[21,167],"that":[22,43,118],"remain":[23],"open":[24,166],"this":[26,173],"field:":[27],"dealing":[28],"with":[29,76,121],"non-Lambertian":[30],"materials":[31],"effectively":[33],"processing":[34],"high-resolution":[35,96],"images.":[36],"Purposely,":[37],"propose":[39],"a":[40,65,95,142],"novel":[41,66],"dataset":[42,80,138],"includes":[44,93],"accurate":[45,74],"dense":[47],"ground-truth":[48],"labels":[49],"at":[50],"high":[51],"resolution,":[52],"featuring":[53],"scenes":[54],"containing":[55],"several":[56],"specular":[57],"transparent":[59],"surfaces.":[60],"Our":[61,162],"acquisition":[62],"pipeline":[63],"leverages":[64],"deep":[67],"space-time":[68],"stereo":[69,105,156],"framework,":[70],"enabling":[71],"easy":[72],"labeling":[75],"sub-pixel":[77],"precision.":[78],"The":[79,137],"is":[81,139],"composed":[82,140],"606":[84],"samples":[85],"collected":[86],"85":[88],"different":[89,122],"scenes,":[90],"each":[91],"sample":[92],"pair":[97,106],"(12":[98],"Mpx)":[99],"as":[100,102],"well":[101],"an":[103],"unbalanced":[104],"(Left:":[107],"12":[108],"Mpx,":[109],"Right:":[110],"1.1":[111],"Mpx),":[112],"typical":[113],"modern":[115],"mobile":[116],"devices":[117],"mount":[119],"sensors":[120],"resolutions.":[123],"Additionally,":[124],"provide":[126],"manually":[127],"annotated":[128],"material":[129],"segmentation":[130],"masks":[131],"15":[133],"K":[134],"unlabeled":[135],"samples.":[136],"train":[143],"set":[144],"test":[147],"sets,":[148],"the":[149,153,165],"latter":[150],"devoted":[151],"to":[152],"evaluation":[154],"monocular":[158],"estimation":[160],"networks.":[161],"experiments":[163],"highlight":[164],"future":[169],"research":[170],"directions":[171],"field.":[174]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":13},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":3}],"updated_date":"2026-05-05T08:41:31.759640","created_date":"2025-10-10T00:00:00"}
