{"id":"https://openalex.org/W3012528238","doi":"https://doi.org/10.1109/tip.2020.2978339","title":"RAPNet: Residual Atrous Pyramid Network for Importance-Aware Street Scene Parsing","display_name":"RAPNet: Residual Atrous Pyramid Network for Importance-Aware Street Scene Parsing","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3012528238","doi":"https://doi.org/10.1109/tip.2020.2978339","mag":"3012528238","pmid":"https://pubmed.ncbi.nlm.nih.gov/32167895"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2020.2978339","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2020.2978339","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"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 Image Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5100451855","display_name":"Pingping Zhang","orcid":"https://orcid.org/0000-0003-1206-1444"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Pingping Zhang","raw_affiliation_strings":["School of Information and Communication Engineering, Dalian University of Technology, Dalian, China"],"affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering, Dalian University of Technology, Dalian, China","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100763568","display_name":"Wei Liu","orcid":"https://orcid.org/0000-0001-6351-9019"},"institutions":[{"id":"https://openalex.org/I5681781","display_name":"The University of Adelaide","ror":"https://ror.org/00892tw58","country_code":"AU","type":"education","lineage":["https://openalex.org/I5681781"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Wei Liu","raw_affiliation_strings":["School of Computer Science, The University of Adelaide, Adelaide, Australia"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, The University of Adelaide, Adelaide, Australia","institution_ids":["https://openalex.org/I5681781"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102831936","display_name":"Yinjie Lei","orcid":"https://orcid.org/0000-0001-6856-3342"},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]},{"id":"https://openalex.org/I24201400","display_name":"Chengdu University of Information Technology","ror":"https://ror.org/01yxwrh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I24201400"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yinjie Lei","raw_affiliation_strings":["College of Electronics and Information Engineering, Sichuan University, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"College of Electronics and Information Engineering, Sichuan University, Chengdu, China","institution_ids":["https://openalex.org/I24201400","https://openalex.org/I24185976"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100422639","display_name":"Hongyu Wang","orcid":"https://orcid.org/0000-0002-1038-412X"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongyu Wang","raw_affiliation_strings":["School of Information and Communication Engineering, Dalian University of Technology, Dalian, China"],"affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering, Dalian University of Technology, Dalian, China","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5006986293","display_name":"Huchuan Lu","orcid":"https://orcid.org/0000-0002-6668-9758"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huchuan Lu","raw_affiliation_strings":["School of Information and Communication Engineering, Dalian University of Technology, Dalian, China"],"affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering, Dalian University of Technology, Dalian, China","institution_ids":["https://openalex.org/I27357992"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100451855"],"corresponding_institution_ids":["https://openalex.org/I27357992"],"apc_list":null,"apc_paid":null,"fwci":2.6491,"has_fulltext":false,"cited_by_count":35,"citation_normalized_percentile":{"value":0.91624003,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"29","issue":null,"first_page":"5010","last_page":"5021"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9997000098228455,"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":0.9997000098228455,"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/T11606","display_name":"Infrastructure Maintenance and Monitoring","score":0.9973000288009644,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9957000017166138,"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":0.7988549470901489},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.6835685968399048},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6652466058731079},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6583822965621948},{"id":"https://openalex.org/keywords/pyramid","display_name":"Pyramid (geometry)","score":0.6416907906532288},{"id":"https://openalex.org/keywords/parsing","display_name":"Parsing","score":0.5666443705558777},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5027868747711182},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.4713822305202484},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4375559389591217},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4309360384941101},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.36138084530830383},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.09349945187568665}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7988549470901489},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.6835685968399048},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6652466058731079},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6583822965621948},{"id":"https://openalex.org/C142575187","wikidata":"https://www.wikidata.org/wiki/Q3358290","display_name":"Pyramid (geometry)","level":2,"score":0.6416907906532288},{"id":"https://openalex.org/C186644900","wikidata":"https://www.wikidata.org/wiki/Q194152","display_name":"Parsing","level":2,"score":0.5666443705558777},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5027868747711182},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.4713822305202484},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4375559389591217},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4309360384941101},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.36138084530830383},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.09349945187568665},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tip.2020.2978339","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2020.2978339","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"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 Image Processing","raw_type":"journal-article"},{"id":"pmid:32167895","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/32167895","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 image processing : a publication of the IEEE Signal Processing Society","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8399999737739563,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[{"id":"https://openalex.org/G1405998890","display_name":null,"funder_award_id":"DUT19GJ201","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G4132881375","display_name":null,"funder_award_id":"61725202","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4823024520","display_name":null,"funder_award_id":"91538201","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5100944270","display_name":null,"funder_award_id":"61829102","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7950449669","display_name":null,"funder_award_id":"61751212","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/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":95,"referenced_works":["https://openalex.org/W1542723449","https://openalex.org/W1689071840","https://openalex.org/W1745334888","https://openalex.org/W1817277359","https://openalex.org/W1825675169","https://openalex.org/W1901129140","https://openalex.org/W1903029394","https://openalex.org/W1961270558","https://openalex.org/W2054279472","https://openalex.org/W2100588357","https://openalex.org/W2108598243","https://openalex.org/W2109255472","https://openalex.org/W2124592697","https://openalex.org/W2155893237","https://openalex.org/W2163605009","https://openalex.org/W2171943915","https://openalex.org/W2194775991","https://openalex.org/W2322480645","https://openalex.org/W2340897893","https://openalex.org/W2412782625","https://openalex.org/W2419448466","https://openalex.org/W2461677039","https://openalex.org/W2508741746","https://openalex.org/W2535516436","https://openalex.org/W2556967412","https://openalex.org/W2557406251","https://openalex.org/W2558580397","https://openalex.org/W2559597482","https://openalex.org/W2560023338","https://openalex.org/W2563705555","https://openalex.org/W2592939477","https://openalex.org/W2609077090","https://openalex.org/W2630837129","https://openalex.org/W2737258237","https://openalex.org/W2737312250","https://openalex.org/W2741701287","https://openalex.org/W2780664485","https://openalex.org/W2781228439","https://openalex.org/W2799166040","https://openalex.org/W2799213142","https://openalex.org/W2808994128","https://openalex.org/W2883780447","https://openalex.org/W2886934227","https://openalex.org/W2890498246","https://openalex.org/W2890782586","https://openalex.org/W2891155035","https://openalex.org/W2891778567","https://openalex.org/W2895340641","https://openalex.org/W2903642350","https://openalex.org/W2905203549","https://openalex.org/W2921449040","https://openalex.org/W2921781974","https://openalex.org/W2922273358","https://openalex.org/W2949846184","https://openalex.org/W2962916206","https://openalex.org/W2963019093","https://openalex.org/W2963073398","https://openalex.org/W2963166928","https://openalex.org/W2963176324","https://openalex.org/W2963351448","https://openalex.org/W2963563573","https://openalex.org/W2963727650","https://openalex.org/W2963728677","https://openalex.org/W2963840672","https://openalex.org/W2963881378","https://openalex.org/W2964309882","https://openalex.org/W2972516102","https://openalex.org/W2981689412","https://openalex.org/W2981899103","https://openalex.org/W2985276900","https://openalex.org/W2989684653","https://openalex.org/W2990775046","https://openalex.org/W2991471181","https://openalex.org/W2993235622","https://openalex.org/W2995888011","https://openalex.org/W3101414204","https://openalex.org/W4288594309","https://openalex.org/W4293406525","https://openalex.org/W6637358814","https://openalex.org/W6638389677","https://openalex.org/W6638480814","https://openalex.org/W6639824700","https://openalex.org/W6684191040","https://openalex.org/W6696085341","https://openalex.org/W6717372056","https://openalex.org/W6725519663","https://openalex.org/W6729983426","https://openalex.org/W6739696289","https://openalex.org/W6748481559","https://openalex.org/W6753767121","https://openalex.org/W6754879843","https://openalex.org/W6754899465","https://openalex.org/W6757342757","https://openalex.org/W6760054093","https://openalex.org/W6823953791"],"related_works":["https://openalex.org/W2949601986","https://openalex.org/W4293226380","https://openalex.org/W2788972299","https://openalex.org/W2498789492","https://openalex.org/W579810227","https://openalex.org/W2521347458","https://openalex.org/W4249847449","https://openalex.org/W3150439626","https://openalex.org/W2060887160","https://openalex.org/W2368367751"],"abstract_inverted_index":{"Street":[0],"Scene":[1],"Parsing":[2],"(SSP)":[3],"is":[4],"a":[5,84,162,176],"fundamental":[6],"and":[7,13,133,195],"important":[8,65,120],"step":[9],"for":[10,46,70,95,122],"autonomous":[11],"driving":[12],"traffic":[14,38],"scene":[15],"understanding.":[16],"Recently,":[17],"Fully":[18],"Convolutional":[19],"Network":[20,93],"(FCN)":[21],"based":[22],"methods":[23],"have":[24,186],"delivered":[25],"expressive":[26],"performances":[27],"with":[28,68,137,151,206],"the":[29,42,48,102,119,134,156,203],"help":[30],"of":[31,104],"large-scale":[32],"dense-labeling":[33],"datasets.":[34],"However,":[35],"in":[36,66,79,129,142,175],"urban":[37],"environments,":[39],"not":[40],"all":[41],"labels":[43,52,69],"contribute":[44],"equally":[45],"making":[47],"control":[49],"decision.":[50],"Certain":[51],"such":[53],"as":[54],"pedestrian,":[55],"car,":[56],"bicyclist,":[57],"road":[58],"lane":[59],"or":[60,73],"sidewalk":[61],"would":[62],"be":[63],"more":[64,199],"comparison":[67],"vegetation,":[71],"sky":[72],"building.":[74],"Based":[75],"on":[76,182,202],"this":[77,80],"fact,":[78],"paper":[81],"we":[82,108,159],"propose":[83,109,161],"novel":[85],"deep":[86],"learning":[87],"framework,":[88],"named":[89],"Residual":[90,163],"Atrous":[91,164],"Pyramid":[92,166],"(RAPNet),":[94],"importance-aware":[96],"SSP.":[97],"More":[98],"specifically,":[99],"to":[100,169],"incorporate":[101],"importance":[103,139,208],"various":[105],"object":[106],"classes,":[107],"an":[110],"Importance-Aware":[111],"Feature":[112],"Selection":[113],"(IAFS)":[114],"mechanism":[115],"which":[116],"automatically":[117,149],"selects":[118],"features":[121,136],"label":[123],"predictions.":[124],"The":[125],"IAFS":[126],"can":[127,196],"operate":[128],"each":[130],"convolutional":[131],"block,":[132],"semantic":[135,204],"different":[138,143],"are":[140,148],"captured":[141],"channels":[144],"so":[145],"that":[146,188],"they":[147],"assigned":[150],"corresponding":[152],"weights.":[153],"To":[154],"enhance":[155],"labeling":[157],"coherence,":[158],"also":[160],"Spatial":[165],"(RASP)":[167],"module":[168],"sequentially":[170],"aggregate":[171],"global-to-local":[172],"context":[173],"information":[174],"residual":[177],"refinement":[178],"manner.":[179],"Extensive":[180],"experiments":[181],"two":[183],"public":[184],"benchmarks":[185],"shown":[187],"our":[189],"approach":[190],"achieves":[191],"new":[192],"state-of-the-art":[193],"performances,":[194],"consistently":[197],"obtain":[198],"accurate":[200],"results":[201],"classes":[205],"high":[207],"levels.":[209]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":8},{"year":2021,"cited_by_count":7},{"year":2020,"cited_by_count":7}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}