{"id":"https://openalex.org/W4395455125","doi":"https://doi.org/10.1142/s2811032324400058","title":"You Only Need One Thing One Click: Self-Training for Weakly Supervised 3D Scene Understanding","display_name":"You Only Need One Thing One Click: Self-Training for Weakly Supervised 3D Scene Understanding","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4395455125","doi":"https://doi.org/10.1142/s2811032324400058"},"language":"en","primary_location":{"id":"doi:10.1142/s2811032324400058","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s2811032324400058","pdf_url":null,"source":{"id":"https://openalex.org/S4387283707","display_name":"World Scientific Annual Review of Artificial Intelligence","issn_l":"2811-0323","issn":["2811-0323","2811-0331"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"World Scientific Annual Review of Artificial Intelligence","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/A5065674830","display_name":"Zhengzhe Liu","orcid":"https://orcid.org/0000-0002-8434-3224"},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"HK","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["HK"],"is_corresponding":true,"raw_author_name":"Zhengzhe Liu","raw_affiliation_strings":["Computer Science and Engineering, The Chinese University of Hong Kong, Hong Kong"],"affiliations":[{"raw_affiliation_string":"Computer Science and Engineering, The Chinese University of Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I177725633"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102498323","display_name":"Xiaojuan Qi","orcid":"https://orcid.org/0000-0002-4285-1626"},"institutions":[{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Xiaojuan Qi","raw_affiliation_strings":["Electrical and Electronic Engineering, The University of Hong Kong, Hong Kong"],"affiliations":[{"raw_affiliation_string":"Electrical and Electronic Engineering, The University of Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I889458895"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5054382056","display_name":"Chi\u2010Wing Fu","orcid":"https://orcid.org/0000-0002-5238-593X"},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"HK","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Chi-Wing Fu","raw_affiliation_strings":["Computer Science and Engineering, The Chinese University of Hong Kong, Hong Kong"],"affiliations":[{"raw_affiliation_string":"Computer Science and Engineering, The Chinese University of Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I177725633"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5065674830"],"corresponding_institution_ids":["https://openalex.org/I177725633"],"apc_list":null,"apc_paid":null,"fwci":2.5992,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.90655304,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":"02","issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/T10531","display_name":"Advanced Vision and Imaging","score":0.9991999864578247,"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/T11211","display_name":"3D Surveying and Cultural Heritage","score":0.9987999796867371,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/training","display_name":"Training (meteorology)","score":0.6094274520874023},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5469260215759277},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.37118470668792725},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.3396575450897217},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.33147382736206055},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.08296436071395874}],"concepts":[{"id":"https://openalex.org/C2777211547","wikidata":"https://www.wikidata.org/wiki/Q17141490","display_name":"Training (meteorology)","level":2,"score":0.6094274520874023},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5469260215759277},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.37118470668792725},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.3396575450897217},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.33147382736206055},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.08296436071395874},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1142/s2811032324400058","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s2811032324400058","pdf_url":null,"source":{"id":"https://openalex.org/S4387283707","display_name":"World Scientific Annual Review of Artificial Intelligence","issn_l":"2811-0323","issn":["2811-0323","2811-0331"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"World Scientific Annual Review of Artificial Intelligence","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":51,"referenced_works":["https://openalex.org/W611457968","https://openalex.org/W1511986666","https://openalex.org/W2412782625","https://openalex.org/W2520746254","https://openalex.org/W2585521554","https://openalex.org/W2788158258","https://openalex.org/W2797997528","https://openalex.org/W2798991696","https://openalex.org/W2962758679","https://openalex.org/W2963226018","https://openalex.org/W2963281829","https://openalex.org/W2963311325","https://openalex.org/W2966037847","https://openalex.org/W2971726345","https://openalex.org/W2999905431","https://openalex.org/W3110503160","https://openalex.org/W3116959466","https://openalex.org/W3117839341","https://openalex.org/W3169120894","https://openalex.org/W3177450673","https://openalex.org/W3198731913","https://openalex.org/W4206398307","https://openalex.org/W4221145169","https://openalex.org/W4309630083","https://openalex.org/W4312327508","https://openalex.org/W4312478773","https://openalex.org/W4312788649","https://openalex.org/W4319300695","https://openalex.org/W6600076646","https://openalex.org/W6600120041","https://openalex.org/W6600157417","https://openalex.org/W6600175266","https://openalex.org/W6600195515","https://openalex.org/W6600347437","https://openalex.org/W6600430606","https://openalex.org/W6600577134","https://openalex.org/W6600595061","https://openalex.org/W6600804061","https://openalex.org/W6600883233","https://openalex.org/W6600928480","https://openalex.org/W6601010567","https://openalex.org/W6601101894","https://openalex.org/W6601160530","https://openalex.org/W6602430550","https://openalex.org/W6602687650","https://openalex.org/W6605551291","https://openalex.org/W6606162872","https://openalex.org/W6610712822","https://openalex.org/W6817527648","https://openalex.org/W6819060087","https://openalex.org/W6820303615"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W230091440","https://openalex.org/W2390279801","https://openalex.org/W2233261550","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2810751659"],"abstract_inverted_index":{"Understanding":[0],"3D":[1,35,116,134],"scenes,":[2],"such":[3],"as":[4,139],"semantic":[5,135],"segmentation":[6],"and":[7,82,105,136,146,166],"instance":[8,117,137],"identification":[9],"within":[10],"point":[11],"clouds,":[12],"typically":[13],"demands":[14],"extensive":[15],"annotated":[16],"datasets.":[17,148],"However,":[18],"generating":[19],"point-by-point":[20],"labels":[21],"is":[22],"an":[23,72],"overly":[24],"laborious":[25],"process.":[26,109],"While":[27],"recent":[28],"techniques":[29],"have":[30],"been":[31],"developed":[32],"to":[33,97],"train":[34],"networks":[36],"with":[37,115,156],"a":[38,56,87,94,120],"minimal":[39],"fraction":[40],"of":[41,152,161],"labeled":[42],"points,":[43],"our":[44,153],"method,":[45],"dubbed":[46],"\u201cOne":[47],"Thing":[48],"One":[49],"Click,\u201d":[50],"simplifies":[51],"this":[52],"by":[53,86,141],"requiring":[54],"just":[55],"single":[57],"label":[58,83,103],"per":[59],"object.":[60],"To":[61],"effectively":[62],"utilize":[63],"these":[64],"sparse":[65],"annotations":[66,158],"during":[67],"network":[68,96],"training,":[69],"we\u2019ve":[70],"crafted":[71],"innovative":[73],"self-training":[74,154],"strategy.":[75],"This":[76],"involves":[77],"alternating":[78],"between":[79],"training":[80,108],"phases":[81],"spreading,":[84],"powered":[85],"graph":[88],"propagation":[89],"module.":[90],"Additionally,":[91],"we":[92],"integrate":[93],"relation":[95],"create":[98],"category-specific":[99],"prototypes,":[100],"improving":[101],"pseudo":[102],"accuracy":[104],"steering":[106],"the":[107,150],"Our":[110,123],"approach":[111],"also":[112],"seamlessly":[113],"integrates":[114],"segmentation,":[118,138],"incorporating":[119],"point-clustering":[121],"technique.":[122],"method":[124,155],"demonstrates":[125],"superior":[126],"performance":[127],"over":[128],"other":[129],"weakly":[130],"supervised":[131,163],"strategies":[132],"for":[133],"evidenced":[140],"tests":[142],"on":[143],"both":[144],"ScanNet-v2":[145],"S3DIS":[147],"Remarkably,":[149],"efficacy":[151],"limited":[157],"rivals":[159],"that":[160],"fully":[162],"models.":[164],"Codes":[165],"models":[167],"are":[168],"available":[169],"at":[170],"https://github.com/liuzhengzhe/One-Thing-One-Click":[171],".":[172]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
