{"id":"https://openalex.org/W2990043671","doi":"https://doi.org/10.1109/itsc.2019.8917171","title":"Disparity weighted loss for semantic segmentation of driving scenes","display_name":"Disparity weighted loss for semantic segmentation of driving scenes","publication_year":2019,"publication_date":"2019-10-01","ids":{"openalex":"https://openalex.org/W2990043671","doi":"https://doi.org/10.1109/itsc.2019.8917171","mag":"2990043671"},"language":"en","primary_location":{"id":"doi:10.1109/itsc.2019.8917171","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc.2019.8917171","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE Intelligent Transportation Systems Conference (ITSC)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://hal.science/hal-02465013","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5007357194","display_name":"Abdelhak Loukkal","orcid":null},"institutions":[{"id":"https://openalex.org/I1301102746","display_name":"Renault (France)","ror":"https://ror.org/04v98kq37","country_code":"FR","type":"company","lineage":["https://openalex.org/I1301102746"]},{"id":"https://openalex.org/I4210088387","display_name":"Heuristics and Diagnostics for Complex Systems","ror":"https://ror.org/0075hvk77","country_code":"FR","type":"facility","lineage":["https://openalex.org/I102516824","https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I4210088387","https://openalex.org/I4210159245"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Abdelhak Loukkal","raw_affiliation_strings":["Renault S.A.S, Guyancourt, France","Heuristique et Diagnostic des Syst\u00e8mes Complexes [Compi\u00e8gne]","Renault"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Renault S.A.S, Guyancourt, France","institution_ids":["https://openalex.org/I1301102746"]},{"raw_affiliation_string":"Heuristique et Diagnostic des Syst\u00e8mes Complexes [Compi\u00e8gne]","institution_ids":["https://openalex.org/I4210088387"]},{"raw_affiliation_string":"Renault","institution_ids":["https://openalex.org/I1301102746"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021351429","display_name":"Yves Grandvalet","orcid":"https://orcid.org/0000-0002-5645-5149"},"institutions":[{"id":"https://openalex.org/I102516824","display_name":"Universit\u00e9 de Technologie de Compi\u00e8gne","ror":"https://ror.org/04y5kwa70","country_code":"FR","type":"education","lineage":["https://openalex.org/I102516824"]},{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I39804081","display_name":"Sorbonne Universit\u00e9","ror":"https://ror.org/02en5vm52","country_code":"FR","type":"education","lineage":["https://openalex.org/I39804081"]},{"id":"https://openalex.org/I4210088387","display_name":"Heuristics and Diagnostics for Complex Systems","ror":"https://ror.org/0075hvk77","country_code":"FR","type":"facility","lineage":["https://openalex.org/I102516824","https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I4210088387","https://openalex.org/I4210159245"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Yves Grandvalet","raw_affiliation_strings":["Sorbonne universit\u00e9s, Universit\u00e9 de technologie de Compi\u00e8gne, CNRS, Compi\u00e8gne, France","Heuristique et Diagnostic des Syst\u00e8mes Complexes [Compi\u00e8gne]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sorbonne universit\u00e9s, Universit\u00e9 de technologie de Compi\u00e8gne, CNRS, Compi\u00e8gne, France","institution_ids":["https://openalex.org/I102516824","https://openalex.org/I1294671590","https://openalex.org/I39804081"]},{"raw_affiliation_string":"Heuristique et Diagnostic des Syst\u00e8mes Complexes [Compi\u00e8gne]","institution_ids":["https://openalex.org/I4210088387"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101986346","display_name":"You Li","orcid":"https://orcid.org/0000-0002-7186-0142"},"institutions":[{"id":"https://openalex.org/I1301102746","display_name":"Renault (France)","ror":"https://ror.org/04v98kq37","country_code":"FR","type":"company","lineage":["https://openalex.org/I1301102746"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"You Li","raw_affiliation_strings":["Renault S.A.S, Guyancourt, France","RENAULT"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Renault S.A.S, Guyancourt, France","institution_ids":["https://openalex.org/I1301102746"]},{"raw_affiliation_string":"RENAULT","institution_ids":["https://openalex.org/I1301102746"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.14674199,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"3427","last_page":"3432"},"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9998000264167786,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9991999864578247,"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/weighting","display_name":"Weighting","score":0.8533461689949036},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7230742573738098},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6705374717712402},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6470717787742615},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6258812546730042},{"id":"https://openalex.org/keywords/intersection","display_name":"Intersection (aeronautics)","score":0.49141037464141846},{"id":"https://openalex.org/keywords/usability","display_name":"Usability","score":0.4877515435218811},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.42253535985946655},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3721074163913727},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3576604127883911},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.12934976816177368}],"concepts":[{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.8533461689949036},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7230742573738098},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6705374717712402},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6470717787742615},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6258812546730042},{"id":"https://openalex.org/C64543145","wikidata":"https://www.wikidata.org/wiki/Q162942","display_name":"Intersection (aeronautics)","level":2,"score":0.49141037464141846},{"id":"https://openalex.org/C170130773","wikidata":"https://www.wikidata.org/wiki/Q216378","display_name":"Usability","level":2,"score":0.4877515435218811},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.42253535985946655},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3721074163913727},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3576604127883911},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.12934976816177368},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/itsc.2019.8917171","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc.2019.8917171","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE Intelligent Transportation Systems Conference (ITSC)","raw_type":"proceedings-article"},{"id":"pmh:oai:HAL:hal-02465013v1","is_oa":true,"landing_page_url":"https://hal.science/hal-02465013","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"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":"22nd IEEE International Conference on Intelligent Transportation Systems (ITSC 2019), Oct 2019, Auckland, New Zealand. pp.3427-3432, ⟨10.1109/ITSC.2019.8917171⟩","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":{"id":"pmh:oai:HAL:hal-02465013v1","is_oa":true,"landing_page_url":"https://hal.science/hal-02465013","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"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":"22nd IEEE International Conference on Intelligent Transportation Systems (ITSC 2019), Oct 2019, Auckland, New Zealand. pp.3427-3432, ⟨10.1109/ITSC.2019.8917171⟩","raw_type":"info:eu-repo/semantics/conferenceObject"},"sustainable_development_goals":[{"display_name":"Decent work and economic growth","id":"https://metadata.un.org/sdg/8","score":0.5299999713897705}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W1905829557","https://openalex.org/W2115579991","https://openalex.org/W2161236525","https://openalex.org/W2163605009","https://openalex.org/W2171943915","https://openalex.org/W2179352600","https://openalex.org/W2194775991","https://openalex.org/W2340897893","https://openalex.org/W2395611524","https://openalex.org/W2419448466","https://openalex.org/W2520707372","https://openalex.org/W2560023338","https://openalex.org/W2762439315","https://openalex.org/W2791763440","https://openalex.org/W2952793010","https://openalex.org/W2963292632","https://openalex.org/W2963591054","https://openalex.org/W2963840672","https://openalex.org/W2963881378","https://openalex.org/W4293406525","https://openalex.org/W6676338569","https://openalex.org/W6684191040","https://openalex.org/W6696085341","https://openalex.org/W6717372056"],"related_works":["https://openalex.org/W2180954594","https://openalex.org/W2052835778","https://openalex.org/W2049003611","https://openalex.org/W2127804977","https://openalex.org/W2108418243","https://openalex.org/W4389670110","https://openalex.org/W164103134","https://openalex.org/W2187546663","https://openalex.org/W2429057255","https://openalex.org/W148745890"],"abstract_inverted_index":{"Convolutional":[0],"neural":[1],"networks":[2,32,99],"are":[3,100,111],"the":[4,7,56,60,73,77,108,125,130,144,157,166,169],"state":[5],"of":[6,55,76,127,129,171],"art":[8],"methods":[9],"for":[10,20,94,174],"semantic":[11],"segmentation":[12],"but":[13,37],"their":[14,18,38],"resource":[15],"consumption":[16],"hinders":[17],"usability":[19],"real-time":[21,95],"mobile":[22],"robotics":[23],"applications.":[24],"Recent":[25],"works":[26],"have":[27],"focused":[28],"on":[29,102,142],"designing":[30],"lightweight":[31,85],"that":[33,91],"require":[34],"less":[35],"resources,":[36],"efficiency":[39],"is":[40,81,140],"accompanied":[41],"with":[42,59,87,113],"a":[43,52,152],"drop":[44],"in":[45,63],"performance.":[46],"In":[47],"this":[48,161],"work,":[49],"we":[50],"propose":[51],"pixel-wise":[53],"weighting":[54,80,139,159,164],"cross-entropy":[57],"loss":[58,163],"disparity":[61,109],"map":[62],"order":[64],"to":[65,69,83,156],"give":[66],"more":[67],"importance":[68],"close":[70,179],"objects":[71],"during":[72],"optimisation":[74],"procedure":[75],"network.":[78,119],"This":[79,138],"applied":[82],"two":[84],"networks,":[86],"different":[88],"efficiency/performance":[89],"trade-offs,":[90],"were":[92],"designed":[93],"autonomous":[96,175],"driving.":[97],"These":[98],"trained":[101],"CamVid":[103],"and":[104,107,151,168],"Cityscapes":[105],"datasets":[106],"maps":[110],"obtained":[112],"an":[114],"off-the-shelf":[115],"unsupervised":[116],"depth":[117],"estimation":[118],"Our":[120],"method":[121],"does":[122],"not":[123],"increase":[124],"number":[126],"parameters":[128],"network":[131],"nor":[132],"imply":[133],"any":[134],"further":[135],"manual":[136],"labeling.":[137],"evaluated":[141],"both":[143],"regular":[145],"mean":[146],"intersection":[147],"over":[148],"union":[149],"(mIoU)":[150],"close-range":[153],"mIoU.":[154],"Compared":[155],"standard":[158],"scheme,":[160],"new":[162],"improves":[165],"mIoU":[167],"IoU":[170],"pertinent":[172],"classes":[173],"driving":[176],"especially":[177],"at":[178],"range.":[180]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}