{"id":"https://openalex.org/W4200273475","doi":"https://doi.org/10.3233/jifs-202230","title":"Depth-embedded instance segmentation network for urban scene parsing","display_name":"Depth-embedded instance segmentation network for urban scene parsing","publication_year":2021,"publication_date":"2021-12-24","ids":{"openalex":"https://openalex.org/W4200273475","doi":"https://doi.org/10.3233/jifs-202230"},"language":"en","primary_location":{"id":"doi:10.3233/jifs-202230","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jifs-202230","pdf_url":null,"source":{"id":"https://openalex.org/S179157397","display_name":"Journal of Intelligent & Fuzzy Systems","issn_l":"1064-1246","issn":["1064-1246","1875-8967"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent & Fuzzy Systems","raw_type":"journal-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/A5054428215","display_name":"Zhifan Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhifan Wang","raw_affiliation_strings":["School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114417858","display_name":"Tong Xin","orcid":"https://orcid.org/0000-0001-5479-262X"},"institutions":[{"id":"https://openalex.org/I84884186","display_name":"Newcastle University","ror":"https://ror.org/01kj2bm70","country_code":"GB","type":"education","lineage":["https://openalex.org/I84884186"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Tong Xin","raw_affiliation_strings":["Institute of Coding (IoC), School of Computing, Newcastle University, Newcastle upon Tyne, NE17RU, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Coding (IoC), School of Computing, Newcastle University, Newcastle upon Tyne, NE17RU, UK","institution_ids":["https://openalex.org/I84884186"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101749560","display_name":"Shidong Wang","orcid":"https://orcid.org/0000-0003-1023-1286"},"institutions":[{"id":"https://openalex.org/I84884186","display_name":"Newcastle University","ror":"https://ror.org/01kj2bm70","country_code":"GB","type":"education","lineage":["https://openalex.org/I84884186"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Shidong Wang","raw_affiliation_strings":["School of Engineering, Newcastle University, Newcastle upon Tyne, NE17RU, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Engineering, Newcastle University, Newcastle upon Tyne, NE17RU, UK","institution_ids":["https://openalex.org/I84884186"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5064008061","display_name":"Haofeng Zhang","orcid":"https://orcid.org/0000-0002-4039-7618"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Haofeng Zhang","raw_affiliation_strings":["School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I36399199"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5064008061"],"corresponding_institution_ids":["https://openalex.org/I36399199"],"apc_list":null,"apc_paid":null,"fwci":0.0942,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.41581298,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"42","issue":"3","first_page":"1269","last_page":"1279"},"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/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9987000226974487,"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":0.8379319906234741},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7498734593391418},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.7107239961624146},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6962571144104004},{"id":"https://openalex.org/keywords/volume","display_name":"Volume (thermodynamics)","score":0.5602554678916931},{"id":"https://openalex.org/keywords/depth-perception","display_name":"Depth perception","score":0.5019960403442383},{"id":"https://openalex.org/keywords/stereopsis","display_name":"Stereopsis","score":0.4725368022918701},{"id":"https://openalex.org/keywords/depth-map","display_name":"Depth map","score":0.4580075442790985},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.4472990334033966},{"id":"https://openalex.org/keywords/parsing","display_name":"Parsing","score":0.4374944269657135},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.41840702295303345},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.3587167263031006},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2968572676181793}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8379319906234741},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7498734593391418},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7107239961624146},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6962571144104004},{"id":"https://openalex.org/C20556612","wikidata":"https://www.wikidata.org/wiki/Q4469374","display_name":"Volume (thermodynamics)","level":2,"score":0.5602554678916931},{"id":"https://openalex.org/C52672216","wikidata":"https://www.wikidata.org/wiki/Q1749840","display_name":"Depth perception","level":3,"score":0.5019960403442383},{"id":"https://openalex.org/C68537008","wikidata":"https://www.wikidata.org/wiki/Q247932","display_name":"Stereopsis","level":2,"score":0.4725368022918701},{"id":"https://openalex.org/C141268832","wikidata":"https://www.wikidata.org/wiki/Q2940499","display_name":"Depth map","level":3,"score":0.4580075442790985},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.4472990334033966},{"id":"https://openalex.org/C186644900","wikidata":"https://www.wikidata.org/wiki/Q194152","display_name":"Parsing","level":2,"score":0.4374944269657135},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.41840702295303345},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.3587167263031006},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2968572676181793},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","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/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/jifs-202230","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jifs-202230","pdf_url":null,"source":{"id":"https://openalex.org/S179157397","display_name":"Journal of Intelligent & Fuzzy Systems","issn_l":"1064-1246","issn":["1064-1246","1875-8967"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent & Fuzzy Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.8500000238418579,"display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1565402342","https://openalex.org/W1861492603","https://openalex.org/W1973485945","https://openalex.org/W2115579991","https://openalex.org/W2117248802","https://openalex.org/W2341555367","https://openalex.org/W2412782625","https://openalex.org/W2589727102","https://openalex.org/W2771895258","https://openalex.org/W2897203992","https://openalex.org/W2944270177","https://openalex.org/W2973127894","https://openalex.org/W3096399234","https://openalex.org/W3143201308","https://openalex.org/W6610017368"],"related_works":["https://openalex.org/W1967061043","https://openalex.org/W3192645019","https://openalex.org/W2019566805","https://openalex.org/W3014239205","https://openalex.org/W1963494852","https://openalex.org/W2110839324","https://openalex.org/W1669643531","https://openalex.org/W2538748790","https://openalex.org/W2057907480","https://openalex.org/W2040503211"],"abstract_inverted_index":{"The":[0,74,125],"ubiquitous":[1],"availability":[2],"of":[3,11,22,34,38,63,71,86,122,128,138],"cost-effective":[4],"cameras":[5],"has":[6],"rendered":[7],"large":[8],"scale":[9],"collection":[10],"street":[12],"view":[13],"data":[14,24],"a":[15,30,50,101],"straightforward":[16],"endeavour.":[17],"Yet,":[18],"the":[19,61,68,84,87,91,106,114,135,143,161,166],"effective":[20],"use":[21],"these":[23],"to":[25,82,117,133],"assist":[26],"autonomous":[27],"driving":[28],"remains":[29],"challenge,":[31],"especially":[32],"lack":[33],"exploration":[35],"and":[36,89,158,160],"exploitation":[37],"stereo":[39,72,123,139],"images":[40,79,140],"with":[41,113,171],"abundant":[42],"perceptible":[43],"depth.":[44],"In":[45],"this":[46],"paper,":[47],"we":[48,99],"propose":[49],"novel":[51],"Depth-embedded":[52],"Instance":[53],"Segmentation":[54],"Network":[55,130],"(DISNet)":[56],"which":[57,109],"can":[58,110],"effectively":[59],"improve":[60],"performance":[62],"instance":[64],"segmentation":[65],"by":[66],"incorporating":[67],"depth":[69,93,107],"information":[70,137],"images.":[73,124],"proposed":[75],"network":[76],"takes":[77],"binocular":[78],"as":[80],"input":[81],"observe":[83],"displacement":[85],"object":[88],"estimate":[90],"corresponding":[92],"perception":[94],"without":[95],"additional":[96],"supervisions.":[97],"Furthermore,":[98],"introduce":[100],"new":[102],"module":[103],"for":[104],"computing":[105],"cost-volume,":[108],"be":[111],"integrated":[112],"colour":[115],"cost-volume":[116],"jointly":[118],"capture":[119],"useful":[120],"disparities":[121],"shared-weights":[126],"structure":[127],"Siamese":[129],"is":[131],"applied":[132],"learn":[134],"intrinsic":[136],"while":[141],"reducing":[142],"computational":[144],"burden.":[145],"Extensive":[146],"experiments":[147],"have":[148],"been":[149],"carried":[150],"out":[151],"on":[152],"publicly":[153],"available":[154],"datasets":[155],"(i.e.,":[156],"Cityscapes":[157],"KITTI),":[159],"obtained":[162],"results":[163],"clearly":[164],"demonstrate":[165],"superiority":[167],"in":[168],"segmenting":[169],"instances":[170],"different":[172],"depths.":[173]},"counts_by_year":[{"year":2022,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}