{"id":"https://openalex.org/W4285411130","doi":"https://doi.org/10.1109/lgrs.2022.3190558","title":"STN: Saliency-Guided Transformer Network for Point-Wise Semantic Segmentation of Urban Scenes","display_name":"STN: Saliency-Guided Transformer Network for Point-Wise Semantic Segmentation of Urban Scenes","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4285411130","doi":"https://doi.org/10.1109/lgrs.2022.3190558"},"language":"en","primary_location":{"id":"doi:10.1109/lgrs.2022.3190558","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2022.3190558","pdf_url":null,"source":{"id":"https://openalex.org/S126920919","display_name":"IEEE Geoscience and Remote Sensing Letters","issn_l":"1545-598X","issn":["1545-598X","1558-0571"],"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 Geoscience and Remote Sensing Letters","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/A5032270954","display_name":"Lingfei Ma","orcid":"https://orcid.org/0000-0001-8893-9693"},"institutions":[{"id":"https://openalex.org/I137867983","display_name":"Central University of Finance and Economics","ror":"https://ror.org/008e3hf02","country_code":"CN","type":"education","lineage":["https://openalex.org/I137867983"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lingfei Ma","raw_affiliation_strings":["School of Statistics and Mathematics, Central University of Finance and Economics, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-8893-9693","affiliations":[{"raw_affiliation_string":"School of Statistics and Mathematics, Central University of Finance and Economics, Beijing, China","institution_ids":["https://openalex.org/I137867983"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100613889","display_name":"Jonathan Li","orcid":"https://orcid.org/0000-0001-7899-0049"},"institutions":[{"id":"https://openalex.org/I151746483","display_name":"University of Waterloo","ror":"https://ror.org/01aff2v68","country_code":"CA","type":"education","lineage":["https://openalex.org/I151746483"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Jonathan Li","raw_affiliation_strings":["Department of Geography and Environmental Management, University of Waterloo, Waterloo, ON, Canada"],"raw_orcid":"https://orcid.org/0000-0001-7899-0049","affiliations":[{"raw_affiliation_string":"Department of Geography and Environmental Management, University of Waterloo, Waterloo, ON, Canada","institution_ids":["https://openalex.org/I151746483"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035056634","display_name":"Haiyan Guan","orcid":"https://orcid.org/0000-0003-3691-8721"},"institutions":[{"id":"https://openalex.org/I200845125","display_name":"Nanjing University of Information Science and Technology","ror":"https://ror.org/02y0rxk19","country_code":"CN","type":"education","lineage":["https://openalex.org/I200845125"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haiyan Guan","raw_affiliation_strings":["School of Remote Sensing and Geomatics Engineering, Nanjing University of Information Science and Technology, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0003-3691-8721","affiliations":[{"raw_affiliation_string":"School of Remote Sensing and Geomatics Engineering, Nanjing University of Information Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I200845125"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065937604","display_name":"Yongtao Yu","orcid":"https://orcid.org/0000-0001-7204-9346"},"institutions":[{"id":"https://openalex.org/I4210153869","display_name":"Huaiyin Institute of Technology","ror":"https://ror.org/0555ezg60","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210153869"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongtao Yu","raw_affiliation_strings":["Faculty of Computer and Software Engineering, Huaiyin Institute of Technology, Huai’an, China"],"raw_orcid":"https://orcid.org/0000-0001-7204-9346","affiliations":[{"raw_affiliation_string":"Faculty of Computer and Software Engineering, Huaiyin Institute of Technology, Huai’an, China","institution_ids":["https://openalex.org/I4210153869"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100374691","display_name":"Yiping Chen","orcid":"https://orcid.org/0000-0003-1465-6599"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yiping Chen","raw_affiliation_strings":["School of Geospatial Engineering and Science, Sun Yat-sen University, Zhuhai, China","School of Geospatial Engineering and Science, Sun Yat-Sen University, Zhuhai, China"],"raw_orcid":"https://orcid.org/0000-0003-1465-6599","affiliations":[{"raw_affiliation_string":"School of Geospatial Engineering and Science, Sun Yat-sen University, Zhuhai, China","institution_ids":["https://openalex.org/I157773358"]},{"raw_affiliation_string":"School of Geospatial Engineering and Science, Sun Yat-Sen University, Zhuhai, China","institution_ids":["https://openalex.org/I157773358"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2597,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.48389791,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"19","issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9991000294685364,"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"}},"topics":[{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9991000294685364,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9983999729156494,"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/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9979000091552734,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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":0.78861403465271},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.7638285160064697},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7070415019989014},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5665666460990906},{"id":"https://openalex.org/keywords/offset","display_name":"Offset (computer science)","score":0.5489554405212402},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5423094034194946},{"id":"https://openalex.org/keywords/point-cloud","display_name":"Point cloud","score":0.5417304039001465},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.46447741985321045},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.45944157242774963},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.44737163186073303},{"id":"https://openalex.org/keywords/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.4422391653060913},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.42951419949531555}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.78861403465271},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7638285160064697},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7070415019989014},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5665666460990906},{"id":"https://openalex.org/C175291020","wikidata":"https://www.wikidata.org/wiki/Q1156822","display_name":"Offset (computer science)","level":2,"score":0.5489554405212402},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5423094034194946},{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.5417304039001465},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.46447741985321045},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.45944157242774963},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.44737163186073303},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.4422391653060913},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.42951419949531555},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lgrs.2022.3190558","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2022.3190558","pdf_url":null,"source":{"id":"https://openalex.org/S126920919","display_name":"IEEE Geoscience and Remote Sensing Letters","issn_l":"1545-598X","issn":["1545-598X","1558-0571"],"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 Geoscience and Remote Sensing Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8299999833106995,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[{"id":"https://openalex.org/G1552547945","display_name":"\u57fa\u4e8e\u4e09\u7ef4\u70b9\u4e91\u7684\u9ad8\u6e05\u5730\u56fe\u5feb\u901f\u8bed\u4e49\u6807\u6ce8\u7406\u8bba\u4e0e\u65b9\u6cd5\u7814\u7a76","funder_award_id":"41871380","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1614057970","display_name":null,"funder_award_id":"42101451","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"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1644641054","https://openalex.org/W2071753994","https://openalex.org/W2770174753","https://openalex.org/W2775216572","https://openalex.org/W2795014656","https://openalex.org/W2962731536","https://openalex.org/W2964257316","https://openalex.org/W2964342398","https://openalex.org/W2979750740","https://openalex.org/W2998083489","https://openalex.org/W3012777053","https://openalex.org/W3080980548","https://openalex.org/W3111535274","https://openalex.org/W3153465022","https://openalex.org/W4214755140","https://openalex.org/W6739778489","https://openalex.org/W6763422710"],"related_works":["https://openalex.org/W2185902295","https://openalex.org/W2103507220","https://openalex.org/W3144569342","https://openalex.org/W2945274617","https://openalex.org/W4313052709","https://openalex.org/W2022929107","https://openalex.org/W2055202857","https://openalex.org/W4205800335","https://openalex.org/W2758994127","https://openalex.org/W2386644571"],"abstract_inverted_index":{"Accurate":[0],"and":[1,24,36,93,123,132],"effective":[2,97],"road":[3,42,112],"object":[4],"semantic":[5,57,155],"segmentation":[6,34,58,156],"plays":[7],"a":[8,47],"significant":[9],"role":[10],"in":[11,39,52],"supporting":[12],"extensive":[13],"intelligent":[14],"transportation":[15],"system":[16],"(ITS)-related":[17],"applications.":[18],"However,":[19],"most":[20],"existing":[21],"image-based":[22],"methods":[23,26,143],"point-based":[25],"cannot":[27],"deliver":[28],"promising":[29],"solutions":[30],"with":[31,89,128,139],"respect":[32],"to":[33,75,103],"accuracy":[35,131],"robustness,":[37],"especially":[38],"complex":[40],"urban":[41],"scenes.":[43],"Thus,":[44],"we":[45],"design":[46],"saliency-guided":[48],"transformer":[49,99],"architecture":[50],"(STN)":[51],"this":[53],"letter":[54],"for":[55,81,107,153],"point-wise":[56,98,108],"from":[59],"mobile":[60],"laser":[61],"scanning":[62],"(MLS)":[63],"point":[64],"clouds.":[65],"First,":[66],"four":[67],"types":[68],"of":[69,111,149],"feature":[70,79,84],"saliency":[71],"maps":[72],"are":[73],"constructed":[74],"obtain":[76],"more":[77],"compact":[78],"spaces":[80],"enhancing":[82],"the":[83,120,146,150],"encoding":[85],"semantics.":[86],"Then,":[87],"integrated":[88],"offset":[90],"attention":[91],"mechanisms":[92],"edge":[94],"convolutions,":[95],"an":[96],"network":[100],"is":[101,117],"proposed":[102],"extract":[104],"high-level":[105],"features":[106],"label":[109],"assignment":[110],"objects.":[113],"The":[114],"STN":[115,151],"model":[116,152],"evaluated":[118],"on":[119],"Pairs-Lille-3D":[121],"dataset":[122],"achieves":[124],"satisfactory":[125],"experimental":[126],"results":[127],"87.2%":[129],"overall":[130],"81.7%":[133],"mean":[134],"IoU,":[135],"respectively.":[136],"Comparative":[137],"studies":[138],"five":[140],"deep":[141],"learning-based":[142],"also":[144],"prove":[145],"superior":[147],"performance":[148],"large-scale":[154],"tasks.":[157]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}