{"id":"https://openalex.org/W2793132020","doi":"https://doi.org/10.1109/tits.2018.2801309","title":"Importance-Aware Semantic Segmentation for Autonomous Vehicles","display_name":"Importance-Aware Semantic Segmentation for Autonomous Vehicles","publication_year":2018,"publication_date":"2018-03-19","ids":{"openalex":"https://openalex.org/W2793132020","doi":"https://doi.org/10.1109/tits.2018.2801309","mag":"2793132020"},"language":"en","primary_location":{"id":"doi:10.1109/tits.2018.2801309","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2018.2801309","pdf_url":null,"source":{"id":"https://openalex.org/S144771191","display_name":"IEEE Transactions on Intelligent Transportation Systems","issn_l":"1524-9050","issn":["1524-9050","1558-0016"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Intelligent Transportation 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/A5038826544","display_name":"Bike Chen","orcid":"https://orcid.org/0000-0003-1479-7893"},"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":"Bike Chen","raw_affiliation_strings":["Key Laboratory of Intelligent Perception and Systems for High-Dimensional Information of Ministry of Education, School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0003-1479-7893","affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Perception and Systems for High-Dimensional Information of Ministry of Education, 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/A5030222911","display_name":"Chen Gong","orcid":"https://orcid.org/0000-0002-4092-9856"},"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":"Chen Gong","raw_affiliation_strings":["Key Laboratory of Intelligent Perception and Systems for High-Dimensional Information of Ministry of Education, School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0002-4092-9856","affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Perception and Systems for High-Dimensional Information of Ministry of Education, School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100726984","display_name":"Jian Yang","orcid":"https://orcid.org/0000-0003-4800-832X"},"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":"Jian Yang","raw_affiliation_strings":["Key Laboratory of Intelligent Perception and Systems for High-Dimensional Information of Ministry of Education, School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0003-4800-832X","affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Perception and Systems for High-Dimensional Information of Ministry of Education, School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I36399199"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I36399199"],"apc_list":null,"apc_paid":null,"fwci":4.786,"has_fulltext":false,"cited_by_count":123,"citation_normalized_percentile":{"value":0.96417844,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":"20","issue":"1","first_page":"137","last_page":"148"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9907000064849854,"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":0.9907000064849854,"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/T12016","display_name":"Web Data Mining and Analysis","score":0.9900000095367432,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T12292","display_name":"Graph Theory and Algorithms","score":0.9864000082015991,"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":0.6529315710067749},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5987098217010498},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5048392415046692},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.42690083384513855},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.3734859228134155}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6529315710067749},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5987098217010498},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5048392415046692},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.42690083384513855},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.3734859228134155}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tits.2018.2801309","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2018.2801309","pdf_url":null,"source":{"id":"https://openalex.org/S144771191","display_name":"IEEE Transactions on Intelligent Transportation Systems","issn_l":"1524-9050","issn":["1524-9050","1558-0016"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Intelligent Transportation Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.75,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[{"id":"https://openalex.org/G1793001687","display_name":null,"funder_award_id":"61602246","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1812819024","display_name":null,"funder_award_id":"BK20171430","funder_id":"https://openalex.org/F4320322769","funder_display_name":"Natural Science Foundation of Jiangsu Province"},{"id":"https://openalex.org/G449799776","display_name":null,"funder_award_id":"DZXX-027","funder_id":"https://openalex.org/F4320326182","funder_display_name":"Six Talent Peaks Project in Jiangsu Province"},{"id":"https://openalex.org/G635378778","display_name":null,"funder_award_id":"U1713208","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7623586465","display_name":null,"funder_award_id":"BK20170857","funder_id":"https://openalex.org/F4320322769","funder_display_name":"Natural Science Foundation of Jiangsu Province"},{"id":"https://openalex.org/G8684234662","display_name":null,"funder_award_id":"2014CB349303","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G8975857151","display_name":"\u57fa\u4e8e\u8868\u793a\u5b66\u4e60\u7684\u56fe\u50cf\u590d\u539f\u548c\u8bc6\u522b\u65b9\u6cd5\u7814\u7a76","funder_award_id":"61472187","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322769","display_name":"Natural Science Foundation of Jiangsu Province","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320326182","display_name":"Six Talent Peaks Project in Jiangsu Province","ror":null},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":56,"referenced_works":["https://openalex.org/W125693051","https://openalex.org/W586034241","https://openalex.org/W1522301498","https://openalex.org/W1536188923","https://openalex.org/W1610707153","https://openalex.org/W1686810756","https://openalex.org/W1745334888","https://openalex.org/W1836465849","https://openalex.org/W1903029394","https://openalex.org/W1905829557","https://openalex.org/W1913356549","https://openalex.org/W1923697677","https://openalex.org/W1965325258","https://openalex.org/W1981283549","https://openalex.org/W1999478155","https://openalex.org/W2027327099","https://openalex.org/W2047226863","https://openalex.org/W2066813062","https://openalex.org/W2067191022","https://openalex.org/W2098409192","https://openalex.org/W2100588357","https://openalex.org/W2104019579","https://openalex.org/W2124592697","https://openalex.org/W2130306094","https://openalex.org/W2132083787","https://openalex.org/W2143884379","https://openalex.org/W2152632881","https://openalex.org/W2153423793","https://openalex.org/W2171943915","https://openalex.org/W2194775991","https://openalex.org/W2300687442","https://openalex.org/W2340897893","https://openalex.org/W2400000673","https://openalex.org/W2419448466","https://openalex.org/W2513567487","https://openalex.org/W2557406251","https://openalex.org/W2606492274","https://openalex.org/W2619354140","https://openalex.org/W2740036778","https://openalex.org/W2741701287","https://openalex.org/W2762439315","https://openalex.org/W2907965334","https://openalex.org/W2949117887","https://openalex.org/W2949847866","https://openalex.org/W2963881378","https://openalex.org/W2964269771","https://openalex.org/W4244914727","https://openalex.org/W4293406525","https://openalex.org/W6605121731","https://openalex.org/W6617210626","https://openalex.org/W6632146051","https://openalex.org/W6640295612","https://openalex.org/W6666899075","https://openalex.org/W6679349572","https://openalex.org/W6681469950","https://openalex.org/W6757855356"],"related_works":["https://openalex.org/W2772917594","https://openalex.org/W2036807459","https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W1969923398"],"abstract_inverted_index":{"Semantic":[0],"segmentation":[1,196],"(SS)":[2],"partitions":[3],"an":[4,96,158],"image":[5],"into":[6,16],"several":[7],"coherent":[8],"semantically":[9],"meaningful":[10],"parts":[11],"and":[12,57,68,116,139,145,166,187],"classifies":[13],"each":[14],"part":[15],"one":[17],"of":[18,47],"the":[19,28,43,60,85,103,117,137,174,178,194,199],"pre-determined":[20],"classes.":[21],"In":[22],"this":[23,93],"paper,":[24],"we":[25,135],"argue":[26],"that":[27,100,128],"existing":[29,179],"SS":[30,156],"methods":[31],"cannot":[32],"be":[33,78],"reliably":[34],"applied":[35],"to":[36,148,191],"autonomous":[37,107],"driving":[38,71,160],"system":[39],"as":[40,79,81],"they":[41,129],"ignore":[42],"different":[44,120,125],"importance":[45,86,121],"levels":[46,126],"distinct":[48,132],"classes":[49,118,202],"for":[50,106,143,154,203],"safe":[51,204],"driving.":[52,108,205],"For":[53],"example,":[54],"pedestrian,":[55],"car,":[56,73],"bicyclist":[58],"in":[59,124,157],"scene":[61],"are":[62,122,130,189],"much":[63],"more":[64],"important":[65,201],"than":[66],"sky":[67],"building":[69],"when":[70],"a":[72,113],"so":[74,127],"their":[75],"segmentations":[76],"should":[77],"accurate":[80],"possible.":[82],"To":[83],"incorporate":[84],"information":[87],"possessed":[88],"by":[89,172],"various":[90],"object":[91],"classes,":[92],"paper":[94],"designs":[95],"\u201cimportance-aware":[97],"loss\u201d":[98],"(IAL)":[99],"specifically":[101],"emphasizes":[102],"critical":[104],"objects":[105],"The":[109,162],"IAL":[110,144],"operates":[111],"under":[112],"hierarchical":[114],"structure":[115],"with":[119],"located":[123],"assigned":[131],"weights.":[133],"Furthermore,":[134],"derive":[136],"forward":[138],"backward":[140],"propagation":[141],"rules":[142],"apply":[146],"them":[147],"four":[149],"typical":[150],"deep":[151,180],"neural":[152],"networks":[153],"realizing":[155],"intelligent":[159],"system.":[161],"experiments":[163],"on":[164,198],"CamVid":[165],"Cityscapes":[167],"data":[168],"sets":[169],"reveal":[170],"that,":[171],"employing":[173],"proposed":[175],"loss":[176],"function,":[177],"learning":[181],"models,":[182],"including":[183],"FCN,":[184],"SegNet,":[185],"ENet,":[186],"ERFNet,":[188],"able":[190],"consistently":[192],"obtain":[193],"improved":[195],"results":[197],"pre-defined":[200]},"counts_by_year":[{"year":2026,"cited_by_count":6},{"year":2025,"cited_by_count":10},{"year":2024,"cited_by_count":14},{"year":2023,"cited_by_count":25},{"year":2022,"cited_by_count":22},{"year":2021,"cited_by_count":19},{"year":2020,"cited_by_count":19},{"year":2019,"cited_by_count":7},{"year":2018,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}