{"id":"https://openalex.org/W2982302089","doi":"https://doi.org/10.1109/ist48021.2019.9010501","title":"PT-ResNet: Perspective Transformation-Based Residual Network for Semantic Road Image Segmentation","display_name":"PT-ResNet: Perspective Transformation-Based Residual Network for Semantic Road Image Segmentation","publication_year":2019,"publication_date":"2019-12-01","ids":{"openalex":"https://openalex.org/W2982302089","doi":"https://doi.org/10.1109/ist48021.2019.9010501","mag":"2982302089"},"language":"en","primary_location":{"id":"doi:10.1109/ist48021.2019.9010501","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ist48021.2019.9010501","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Imaging Systems and Techniques (IST)","raw_type":"proceedings-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/A5038867899","display_name":"Rui Fan","orcid":"https://orcid.org/0000-0003-2593-6596"},"institutions":[{"id":"https://openalex.org/I200769079","display_name":"Hong Kong University of Science and Technology","ror":"https://ror.org/00q4vv597","country_code":"HK","type":"education","lineage":["https://openalex.org/I200769079"]}],"countries":["HK"],"is_corresponding":true,"raw_author_name":"Rui Fan","raw_affiliation_strings":["Robotics Institute, the Hong Kong University of Science and Technology, Hong Kong"],"affiliations":[{"raw_affiliation_string":"Robotics Institute, the Hong Kong University of Science and Technology, Hong Kong","institution_ids":["https://openalex.org/I200769079"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100681379","display_name":"Yuan Wang","orcid":"https://orcid.org/0000-0002-9378-2245"},"institutions":[{"id":"https://openalex.org/I200769079","display_name":"Hong Kong University of Science and Technology","ror":"https://ror.org/00q4vv597","country_code":"HK","type":"education","lineage":["https://openalex.org/I200769079"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Yuan Wang","raw_affiliation_strings":["Robotics Institute, the Hong Kong University of Science and Technology, Hong Kong"],"affiliations":[{"raw_affiliation_string":"Robotics Institute, the Hong Kong University of Science and Technology, Hong Kong","institution_ids":["https://openalex.org/I200769079"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029382136","display_name":"Lei Qiao","orcid":"https://orcid.org/0000-0001-9922-7595"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Qiao","raw_affiliation_strings":["Department of Automation, Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Department of Automation, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011656875","display_name":"Ruiwen Yao","orcid":null},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruiwen Yao","raw_affiliation_strings":["Department of Automation, Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Department of Automation, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100708901","display_name":"Peng Han","orcid":"https://orcid.org/0000-0002-6341-2315"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peng Han","raw_affiliation_strings":["Department of Automation, Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Department of Automation, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100428758","display_name":"Weidong Zhang","orcid":"https://orcid.org/0000-0003-2495-4469"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weidong Zhang","raw_affiliation_strings":["Department of Automation, Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Department of Automation, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061130224","display_name":"Ioannis Pitas","orcid":"https://orcid.org/0009-0006-7555-8641"},"institutions":[{"id":"https://openalex.org/I21370196","display_name":"Aristotle University of Thessaloniki","ror":"https://ror.org/02j61yw88","country_code":"GR","type":"education","lineage":["https://openalex.org/I21370196"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Ioannis Pitas","raw_affiliation_strings":["Department of Informatics, Aristotle University of Thessaloniki, Thessaloniki, Greece"],"affiliations":[{"raw_affiliation_string":"Department of Informatics, Aristotle University of Thessaloniki, Thessaloniki, Greece","institution_ids":["https://openalex.org/I21370196"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100347785","display_name":"Ming Liu","orcid":"https://orcid.org/0000-0002-4500-238X"},"institutions":[{"id":"https://openalex.org/I200769079","display_name":"Hong Kong University of Science and Technology","ror":"https://ror.org/00q4vv597","country_code":"HK","type":"education","lineage":["https://openalex.org/I200769079"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Ming Liu","raw_affiliation_strings":["Robotics Institute, the Hong Kong University of Science and Technology, Hong Kong"],"affiliations":[{"raw_affiliation_string":"Robotics Institute, the Hong Kong University of Science and Technology, Hong Kong","institution_ids":["https://openalex.org/I200769079"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5038867899"],"corresponding_institution_ids":["https://openalex.org/I200769079"],"apc_list":null,"apc_paid":null,"fwci":0.2024,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.54851128,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9991000294685364,"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":0.9991000294685364,"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":0.9986000061035156,"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/T11606","display_name":"Infrastructure Maintenance and Monitoring","score":0.9976000189781189,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7263211607933044},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.7235037088394165},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.7213398218154907},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6988193988800049},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5833790302276611},{"id":"https://openalex.org/keywords/perspective","display_name":"Perspective (graphical)","score":0.5229033827781677},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5158230662345886},{"id":"https://openalex.org/keywords/transformation","display_name":"Transformation (genetics)","score":0.5014963150024414},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.44971171021461487},{"id":"https://openalex.org/keywords/road-surface","display_name":"Road surface","score":0.43349170684814453},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.4315495491027832},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.42688706517219543},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4093434810638428},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3612831234931946},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09397387504577637},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.07429006695747375}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7263211607933044},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7235037088394165},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.7213398218154907},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6988193988800049},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5833790302276611},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.5229033827781677},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5158230662345886},{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.5014963150024414},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.44971171021461487},{"id":"https://openalex.org/C2780042925","wikidata":"https://www.wikidata.org/wiki/Q1049667","display_name":"Road surface","level":2,"score":0.43349170684814453},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.4315495491027832},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.42688706517219543},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4093434810638428},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3612831234931946},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09397387504577637},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.07429006695747375},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C147176958","wikidata":"https://www.wikidata.org/wiki/Q77590","display_name":"Civil engineering","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/ist48021.2019.9010501","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ist48021.2019.9010501","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Imaging Systems and Techniques (IST)","raw_type":"proceedings-article"},{"id":"pmh:oai:repository.hkust.edu.hk:1783.1-103473","is_oa":false,"landing_page_url":"http://repository.hkust.edu.hk/ir/Record/1783.1-103473","pdf_url":null,"source":{"id":"https://openalex.org/S4306401796","display_name":"Rare & Special e-Zone (The Hong Kong University of Science and Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I200769079","host_organization_name":"Hong Kong University of Science and Technology","host_organization_lineage":["https://openalex.org/I200769079"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Conference paper"},{"id":"pmh:oai:repository.ust.hk:1783.1-103473","is_oa":false,"landing_page_url":"http://gateway.isiknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=LinksAMR&SrcApp=PARTNER_APP&DestLinkType=FullRecord&DestApp=WOS&KeyUT=000555473200066","pdf_url":null,"source":{"id":"https://openalex.org/S4306401796","display_name":"Rare & Special e-Zone (The Hong Kong University of Science and Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I200769079","host_organization_name":"Hong Kong University of Science and Technology","host_organization_lineage":["https://openalex.org/I200769079"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference paper"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.7699999809265137,"display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W1485699345","https://openalex.org/W1492614353","https://openalex.org/W1866745826","https://openalex.org/W1903029394","https://openalex.org/W2160445453","https://openalex.org/W2167222293","https://openalex.org/W2172108060","https://openalex.org/W2332618872","https://openalex.org/W2412782625","https://openalex.org/W2413473068","https://openalex.org/W2514854142","https://openalex.org/W2592946924","https://openalex.org/W2607626645","https://openalex.org/W2630837129","https://openalex.org/W2760998155","https://openalex.org/W2792796963","https://openalex.org/W2799746312","https://openalex.org/W2887699950","https://openalex.org/W2948419037","https://openalex.org/W2963388701","https://openalex.org/W2963410012","https://openalex.org/W2963619659","https://openalex.org/W2964232175","https://openalex.org/W2964309882","https://openalex.org/W2966168550","https://openalex.org/W2969350702","https://openalex.org/W2979872609","https://openalex.org/W2982663380","https://openalex.org/W3009389653","https://openalex.org/W3009618845","https://openalex.org/W3010372490","https://openalex.org/W3105136107","https://openalex.org/W4238827160","https://openalex.org/W6638978689","https://openalex.org/W6702622491","https://openalex.org/W6739696289","https://openalex.org/W6748481559","https://openalex.org/W6761527281"],"related_works":["https://openalex.org/W2560215812","https://openalex.org/W2949601986","https://openalex.org/W2788972299","https://openalex.org/W2498789492","https://openalex.org/W2521347458","https://openalex.org/W4317418752","https://openalex.org/W2729981612","https://openalex.org/W4233449973","https://openalex.org/W3209312100","https://openalex.org/W1522196789"],"abstract_inverted_index":{"Semantic":[0],"road":[1,13,25,33,71,88,143],"region":[2],"segmentation":[3],"is":[4,58,76],"a":[5,19,40,108,130],"high-level":[6],"task,":[7],"which":[8,43,84,113],"paves":[9],"the":[10,30,36,49,63,67,80,87,92,96,138,141],"way":[11],"towards":[12],"scene":[14],"understanding.":[15],"This":[16,55],"paper":[17],"presents":[18],"residual":[20],"network":[21,128],"trained":[22],"for":[23],"semantic":[24],"segmentation.":[26],"Firstly,":[27],"we":[28],"represent":[29],"projections":[31],"of":[32,110,133],"disparities":[34],"in":[35,66],"v-disparity":[37,50],"map":[38,51],"as":[39],"linear":[41,56],"model,":[42],"can":[44],"be":[45],"estimated":[46],"by":[47],"optimizing":[48],"using":[52],"dynamic":[53],"programming.":[54],"model":[57],"then":[59,115],"utilized":[60,116],"to":[61,106,117],"reduce":[62],"redundant":[64],"information":[65],"left":[68,81],"and":[69,100],"right":[70,74],"images.":[72,94],"The":[73,122],"image":[75],"also":[77],"transformed":[78],"into":[79],"perspective":[82],"view,":[83],"greatly":[85],"enhances":[86],"surface":[89],"similarity":[90],"between":[91],"two":[93],"Finally,":[95],"processed":[97],"stereo":[98],"images":[99,139],"their":[101],"disparity":[102],"maps":[103],"are":[104,114],"concatenated":[105],"create":[107],"set":[109],"3D":[111],"images,":[112],"train":[118],"our":[119,127],"neural":[120],"network.":[121],"experimental":[123],"results":[124],"illustrate":[125],"that":[126],"achieves":[129],"maximum":[131],"F1-measure":[132],"approximately":[134],"91.19%,":[135],"when":[136],"analyzing":[137],"from":[140],"KITTI":[142],"dataset.":[144]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}