{"id":"https://openalex.org/W2964158845","doi":"https://doi.org/10.5220/0007366003930400","title":"Design of Real-time Semantic Segmentation Decoder for Automated Driving","display_name":"Design of Real-time Semantic Segmentation Decoder for Automated Driving","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2964158845","doi":"https://doi.org/10.5220/0007366003930400","mag":"2964158845"},"language":"en","primary_location":{"id":"doi:10.5220/0007366003930400","is_oa":true,"landing_page_url":"https://doi.org/10.5220/0007366003930400","pdf_url":null,"source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.5220/0007366003930400","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101759453","display_name":"Arindam Das","orcid":"https://orcid.org/0000-0001-9564-691X"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Arindam Das","raw_affiliation_strings":["Detection Vision Systems, Valeo India and India, --- Select a Country ---"],"affiliations":[{"raw_affiliation_string":"Detection Vision Systems, Valeo India and India, --- Select a Country ---","institution_ids":[]}]},{"author_position":"middle","author":{"id":null,"display_name":"Saranya Kandan","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Saranya Kandan","raw_affiliation_strings":["Detection Vision Systems, Valeo India and India, --- Select a Country ---"],"affiliations":[{"raw_affiliation_string":"Detection Vision Systems, Valeo India and India, --- Select a Country ---","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014764449","display_name":"Senthil Yogamani","orcid":"https://orcid.org/0000-0003-3755-4245"},"institutions":[{"id":"https://openalex.org/I4210126639","display_name":"Valeo (Ireland)","ror":"https://ror.org/031sgpn76","country_code":"IE","type":"company","lineage":["https://openalex.org/I220619192","https://openalex.org/I4210126639"]}],"countries":["IE"],"is_corresponding":false,"raw_author_name":"Senthil Yogamani","raw_affiliation_strings":["Valeo Vision Systems, Valeo Ireland and Ireland, --- Select a Country ---"],"affiliations":[{"raw_affiliation_string":"Valeo Vision Systems, Valeo Ireland and Ireland, --- Select a Country ---","institution_ids":["https://openalex.org/I4210126639"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001769065","display_name":"Pavel K\u0159\u00ed\u017eek","orcid":null},"institutions":[{"id":"https://openalex.org/I4210167290","display_name":"Valeo (Czechia)","ror":"https://ror.org/05rbqz184","country_code":"CZ","type":"company","lineage":["https://openalex.org/I220619192","https://openalex.org/I4210167290"]}],"countries":["CZ"],"is_corresponding":false,"raw_author_name":"Pavel K\u0159\u00ed\u017eek","raw_affiliation_strings":["Valeo R&D DVS, Prague and Czech Republic, --- Select a Country ---"],"affiliations":[{"raw_affiliation_string":"Valeo R&D DVS, Prague and Czech Republic, --- Select a Country ---","institution_ids":["https://openalex.org/I4210167290"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5101759453"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.613,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.72351124,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"393","last_page":"400"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","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/T10036","display_name":"Advanced Neural Network Applications","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/T12535","display_name":"Machine Learning and Data Classification","score":0.9925000071525574,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9894000291824341,"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":0.8668397665023804},{"id":"https://openalex.org/keywords/minimum-bounding-box","display_name":"Minimum bounding box","score":0.7137851715087891},{"id":"https://openalex.org/keywords/bottleneck","display_name":"Bottleneck","score":0.6748235821723938},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6713367700576782},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.6237784624099731},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5377227663993835},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.5140084028244019},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.4732514023780823},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.46233105659484863},{"id":"https://openalex.org/keywords/bounding-overwatch","display_name":"Bounding overwatch","score":0.4405063986778259},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.43644917011260986},{"id":"https://openalex.org/keywords/computer-engineering","display_name":"Computer engineering","score":0.4301840662956238},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.3633882999420166},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.24958083033561707},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2335503101348877}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8668397665023804},{"id":"https://openalex.org/C147037132","wikidata":"https://www.wikidata.org/wiki/Q6865426","display_name":"Minimum bounding box","level":3,"score":0.7137851715087891},{"id":"https://openalex.org/C2780513914","wikidata":"https://www.wikidata.org/wiki/Q18210350","display_name":"Bottleneck","level":2,"score":0.6748235821723938},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6713367700576782},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.6237784624099731},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5377227663993835},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.5140084028244019},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.4732514023780823},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46233105659484863},{"id":"https://openalex.org/C63584917","wikidata":"https://www.wikidata.org/wiki/Q333286","display_name":"Bounding overwatch","level":2,"score":0.4405063986778259},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.43644917011260986},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.4301840662956238},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3633882999420166},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.24958083033561707},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2335503101348877},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.5220/0007366003930400","is_oa":true,"landing_page_url":"https://doi.org/10.5220/0007366003930400","pdf_url":null,"source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.5220/0007366003930400","is_oa":true,"landing_page_url":"https://doi.org/10.5220/0007366003930400","pdf_url":null,"source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","score":0.5299999713897705,"display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4237171675","https://openalex.org/W3036286480","https://openalex.org/W4287027631","https://openalex.org/W3192357901","https://openalex.org/W2387360586","https://openalex.org/W2952736415","https://openalex.org/W3209723314","https://openalex.org/W3205398323","https://openalex.org/W2883297582","https://openalex.org/W4390524233"],"abstract_inverted_index":{"Semantic":[0],"segmentation":[1,70,82],"remains":[2],"a":[3,23,40,98,104,110,117,144],"computationally":[4,64],"intensive":[5],"algorithm":[6],"for":[7,27,68,97],"embedded":[8],"deployment":[9],"even":[10],"with":[11,133],"the":[12,81],"rapid":[13],"growth":[14],"of":[15,42,80,112,141],"computation":[16],"power.":[17],"Thus":[18],"efficient":[19,46,78,88,106,124],"network":[20],"design":[21,79,103,135],"is":[22,90],"critical":[24],"aspect":[25],"especially":[26],"applications":[28],"like":[29],"automated":[30],"driving":[31],"which":[32,114],"requires":[33],"real-time":[34],"performance.":[35,146],"Recently,":[36],"there":[37],"has":[38],"been":[39],"lot":[41],"research":[43],"on":[44,77],"designing":[45],"encoders":[47],"that":[48,86,131],"are":[49,63],"mostly":[50],"task":[51],"agnostic.":[52],"Unlike":[53],"image":[54],"classification":[55],"and":[56,84,109],"bounding":[57],"box":[58],"object":[59],"detection":[60],"tasks,":[61],"decoders":[62,113],"expensive":[65],"as":[66,123],"well":[67],"semantic":[69],"task.":[71],"In":[72],"this":[73],"work,":[74],"we":[75],"focus":[76],"decoder":[83],"assume":[85],"an":[87,139],"encoder":[89],"already":[91],"designed":[92],"to":[93,138],"provide":[94],"shared":[95],"features":[96],"multi-task":[99],"learning":[100],"system.":[101],"We":[102,126],"novel":[105],"non-bottleneck":[107],"layer":[108],"family":[111],"fit":[115],"into":[116],"small":[118],"run-time":[119],"budget":[120],"using":[121],"VGG10":[122],"encoder.":[125],"demonstrate":[127],"in":[128],"our":[129],"dataset":[130],"experimentation":[132],"various":[134],"choices":[136],"led":[137],"improvement":[140],"10%":[142],"from":[143],"baseline":[145]},"counts_by_year":[{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2026-04-17T18:11:37.981687","created_date":"2025-10-10T00:00:00"}
