{"id":"https://openalex.org/W4409311343","doi":"https://doi.org/10.1109/crc63701.2024.10949890","title":"Category-Augmented Net for Point Cloud Semantic Segmentation","display_name":"Category-Augmented Net for Point Cloud Semantic Segmentation","publication_year":2024,"publication_date":"2024-11-21","ids":{"openalex":"https://openalex.org/W4409311343","doi":"https://doi.org/10.1109/crc63701.2024.10949890"},"language":"en","primary_location":{"id":"doi:10.1109/crc63701.2024.10949890","is_oa":false,"landing_page_url":"https://doi.org/10.1109/crc63701.2024.10949890","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 9th International Conference on Control, Robotics and Cybernetics (CRC)","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/A5100383996","display_name":"Haotian Wang","orcid":"https://orcid.org/0000-0002-0879-9123"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210094879","display_name":"Shandong Institute of Automation","ror":"https://ror.org/00qdtba35","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210094879","https://openalex.org/I4210142748"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Haotian Wang","raw_affiliation_strings":["Institute of Automation, Chinese Academy of Sciences,Beijing,China"],"affiliations":[{"raw_affiliation_string":"Institute of Automation, Chinese Academy of Sciences,Beijing,China","institution_ids":["https://openalex.org/I4210094879","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011656765","display_name":"Chengbao Liu","orcid":"https://orcid.org/0000-0002-1506-757X"},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chengbao Liu","raw_affiliation_strings":["School of Artificial Inteligence, University of Chinese Academy of Sciences,Beijing,China"],"affiliations":[{"raw_affiliation_string":"School of Artificial Inteligence, University of Chinese Academy of Sciences,Beijing,China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5037083362","display_name":"Jie Tan","orcid":"https://orcid.org/0000-0003-3603-6147"},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Tan","raw_affiliation_strings":["School of Artificial Inteligence, University of Chinese Academy of Sciences,Beijing,China"],"affiliations":[{"raw_affiliation_string":"School of Artificial Inteligence, University of Chinese Academy of Sciences,Beijing,China","institution_ids":["https://openalex.org/I4210165038"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100383996"],"corresponding_institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210094879"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.53706248,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"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/T11211","display_name":"3D Surveying and Cultural Heritage","score":0.9796000123023987,"subfield":{"id":"https://openalex.org/subfields/1907","display_name":"Geology"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11211","display_name":"3D Surveying and Cultural Heritage","score":0.9796000123023987,"subfield":{"id":"https://openalex.org/subfields/1907","display_name":"Geology"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T14339","display_name":"Image Processing and 3D Reconstruction","score":0.9592999815940857,"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":0.9379000067710876,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.702928900718689},{"id":"https://openalex.org/keywords/net","display_name":"Net (polyhedron)","score":0.5886880159378052},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.562900960445404},{"id":"https://openalex.org/keywords/point-cloud","display_name":"Point cloud","score":0.556677520275116},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.5525347590446472},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.45552170276641846},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4550701975822449},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09998685121536255}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.702928900718689},{"id":"https://openalex.org/C14166107","wikidata":"https://www.wikidata.org/wiki/Q253829","display_name":"Net (polyhedron)","level":2,"score":0.5886880159378052},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.562900960445404},{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.556677520275116},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.5525347590446472},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.45552170276641846},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4550701975822449},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09998685121536255},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/crc63701.2024.10949890","is_oa":false,"landing_page_url":"https://doi.org/10.1109/crc63701.2024.10949890","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 9th International Conference on Control, Robotics and Cybernetics (CRC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W2960986959","https://openalex.org/W2963125977","https://openalex.org/W2963182550","https://openalex.org/W2963509914","https://openalex.org/W2979750740","https://openalex.org/W2990613095","https://openalex.org/W3012494314","https://openalex.org/W3034664537","https://openalex.org/W3109154950","https://openalex.org/W3171440254","https://openalex.org/W4214755140","https://openalex.org/W4226098442","https://openalex.org/W4312307873","https://openalex.org/W4313145913","https://openalex.org/W4385245566","https://openalex.org/W4394631233","https://openalex.org/W6739778489","https://openalex.org/W6763422710","https://openalex.org/W6839446344"],"related_works":["https://openalex.org/W4244478748","https://openalex.org/W3150465815","https://openalex.org/W4223488648","https://openalex.org/W2134969820","https://openalex.org/W2251605416","https://openalex.org/W1997222214","https://openalex.org/W2560439919","https://openalex.org/W4389340727","https://openalex.org/W4399442168","https://openalex.org/W2114282491"],"abstract_inverted_index":{"Semantic":[0,147],"segmentation":[1],"on":[2,120,146],"point":[3,14,59,69,127],"cloud":[4,15,60],"plays":[5],"an":[6],"important":[7],"role":[8],"in":[9,73,112,130],"robotic":[10],"applications.":[11],"However,":[12],"current":[13],"interpolation":[16,21,30,72,126],"methods":[17],"have":[18],"shortcomings.":[19],"Distance-based":[20],"schemes":[22,31],"may":[23],"confuse":[24],"different":[25],"semantic":[26,82],"information,":[27],"while":[28,129],"feature-based":[29],"suffer":[32],"from":[33],"unstable":[34],"training":[35,92,107],"processes.":[36],"To":[37],"tackle":[38],"this":[39,141],"issue,":[40],"we":[41,87],"propose":[42],"Category-Augmented":[43,52,64],"Net":[44],"(CAN).":[45],"The":[46],"key":[47],"module":[48],"of":[49,97,116,154],"CAN":[50],"is":[51,56],"Interpolation":[53],"(CAI),":[54],"which":[55,77,104],"used":[57],"for":[58,71,140],"upsampling.":[61],"CAI":[62,118,134],"applies":[63],"KNN":[65],"to":[66,100,124],"find":[67],"the":[68,95,106,113,131,136,152],"set":[70],"a":[74,90],"hierarchical":[75],"manner,":[76],"takes":[78],"both":[79],"distance":[80],"and":[81],"information":[83],"into":[84],"account.":[85],"Furthermore,":[86],"also":[88],"introduce":[89],"dynamic":[91],"strategy,":[93],"allowing":[94],"structure":[96],"our":[98,155],"model":[99],"change":[101],"during":[102],"training,":[103,117],"makes":[105],"progress":[108],"much":[109],"faster.":[110],"Specifically,":[111],"early":[114],"stage":[115],"relies":[119],"ground":[121],"truth":[122],"categories":[123],"select":[125],"sets,":[128],"later":[132],"stage,":[133],"utilizes":[135],"predicted":[137],"feature":[138],"vector":[139],"selection":[142],"process.":[143],"Extensive":[144],"experiments":[145],"Cluttered":[148],"Objects":[149],"(SCO)":[150],"show":[151],"effectiveness":[153],"method.":[156]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
