{"id":"https://openalex.org/W4415708644","doi":"https://doi.org/10.1109/icme59968.2025.11210109","title":"Exploring Active Learning for Label-Efficient Training of Semantic Neural Radiance Field","display_name":"Exploring Active Learning for Label-Efficient Training of Semantic Neural Radiance Field","publication_year":2025,"publication_date":"2025-06-30","ids":{"openalex":"https://openalex.org/W4415708644","doi":"https://doi.org/10.1109/icme59968.2025.11210109"},"language":null,"primary_location":{"id":"doi:10.1109/icme59968.2025.11210109","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme59968.2025.11210109","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Multimedia and Expo (ICME)","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/A5063933116","display_name":"Yuzhe Zhu","orcid":"https://orcid.org/0009-0006-1973-7944"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":true,"raw_author_name":"Yuzhe Zhu","raw_affiliation_strings":["Nanyang Technological University,Singapore"],"affiliations":[{"raw_affiliation_string":"Nanyang Technological University,Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101775553","display_name":"Lile Cai","orcid":"https://orcid.org/0000-0001-8783-0186"},"institutions":[{"id":"https://openalex.org/I3005327000","display_name":"Institute for Infocomm Research","ror":"https://ror.org/053rfa017","country_code":"SG","type":"facility","lineage":["https://openalex.org/I115228651","https://openalex.org/I3005327000","https://openalex.org/I91275662"]},{"id":"https://openalex.org/I115228651","display_name":"Agency for Science, Technology and Research","ror":"https://ror.org/036wvzt09","country_code":"SG","type":"government","lineage":["https://openalex.org/I115228651"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Lile Cai","raw_affiliation_strings":["A*STAR,Institute for Infocomm Research (I2R),Singapore"],"affiliations":[{"raw_affiliation_string":"A*STAR,Institute for Infocomm Research (I2R),Singapore","institution_ids":["https://openalex.org/I3005327000","https://openalex.org/I115228651"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102868683","display_name":"Kangkang Lu","orcid":"https://orcid.org/0000-0002-1872-5494"},"institutions":[{"id":"https://openalex.org/I3005327000","display_name":"Institute for Infocomm Research","ror":"https://ror.org/053rfa017","country_code":"SG","type":"facility","lineage":["https://openalex.org/I115228651","https://openalex.org/I3005327000","https://openalex.org/I91275662"]},{"id":"https://openalex.org/I115228651","display_name":"Agency for Science, Technology and Research","ror":"https://ror.org/036wvzt09","country_code":"SG","type":"government","lineage":["https://openalex.org/I115228651"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Kangkang Lu","raw_affiliation_strings":["A*STAR,Institute for Infocomm Research (I2R),Singapore"],"affiliations":[{"raw_affiliation_string":"A*STAR,Institute for Infocomm Research (I2R),Singapore","institution_ids":["https://openalex.org/I3005327000","https://openalex.org/I115228651"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042271198","display_name":"Fayao Liu","orcid":"https://orcid.org/0000-0001-6649-7660"},"institutions":[{"id":"https://openalex.org/I115228651","display_name":"Agency for Science, Technology and Research","ror":"https://ror.org/036wvzt09","country_code":"SG","type":"government","lineage":["https://openalex.org/I115228651"]},{"id":"https://openalex.org/I3005327000","display_name":"Institute for Infocomm Research","ror":"https://ror.org/053rfa017","country_code":"SG","type":"facility","lineage":["https://openalex.org/I115228651","https://openalex.org/I3005327000","https://openalex.org/I91275662"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Fayao Liu","raw_affiliation_strings":["A*STAR,Institute for Infocomm Research (I2R),Singapore"],"affiliations":[{"raw_affiliation_string":"A*STAR,Institute for Infocomm Research (I2R),Singapore","institution_ids":["https://openalex.org/I3005327000","https://openalex.org/I115228651"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5104272403","display_name":"Xulei Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I115228651","display_name":"Agency for Science, Technology and Research","ror":"https://ror.org/036wvzt09","country_code":"SG","type":"government","lineage":["https://openalex.org/I115228651"]},{"id":"https://openalex.org/I3005327000","display_name":"Institute for Infocomm Research","ror":"https://ror.org/053rfa017","country_code":"SG","type":"facility","lineage":["https://openalex.org/I115228651","https://openalex.org/I3005327000","https://openalex.org/I91275662"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Xulei Yang","raw_affiliation_strings":["A*STAR,Institute for Infocomm Research (I2R),Singapore"],"affiliations":[{"raw_affiliation_string":"A*STAR,Institute for Infocomm Research (I2R),Singapore","institution_ids":["https://openalex.org/I3005327000","https://openalex.org/I115228651"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5063933116"],"corresponding_institution_ids":["https://openalex.org/I172675005"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.35462118,"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":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10719","display_name":"3D Shape Modeling and Analysis","score":0.445499986410141,"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"}},"topics":[{"id":"https://openalex.org/T10719","display_name":"3D Shape Modeling and Analysis","score":0.445499986410141,"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"}},{"id":"https://openalex.org/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.14239999651908875,"subfield":{"id":"https://openalex.org/subfields/1704","display_name":"Computer Graphics and Computer-Aided Design"},"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.12030000239610672,"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/radiance","display_name":"Radiance","score":0.6273000240325928},{"id":"https://openalex.org/keywords/annotation","display_name":"Annotation","score":0.611299991607666},{"id":"https://openalex.org/keywords/active-learning","display_name":"Active learning (machine learning)","score":0.5952000021934509},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.5486999750137329},{"id":"https://openalex.org/keywords/encode","display_name":"ENCODE","score":0.5414000153541565},{"id":"https://openalex.org/keywords/granularity","display_name":"Granularity","score":0.539900004863739},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.539900004863739},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.5291000008583069}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7795000076293945},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6632999777793884},{"id":"https://openalex.org/C23690007","wikidata":"https://www.wikidata.org/wiki/Q1411145","display_name":"Radiance","level":2,"score":0.6273000240325928},{"id":"https://openalex.org/C2776321320","wikidata":"https://www.wikidata.org/wiki/Q857525","display_name":"Annotation","level":2,"score":0.611299991607666},{"id":"https://openalex.org/C77967617","wikidata":"https://www.wikidata.org/wiki/Q4677561","display_name":"Active learning (machine learning)","level":2,"score":0.5952000021934509},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.5486999750137329},{"id":"https://openalex.org/C66746571","wikidata":"https://www.wikidata.org/wiki/Q1134833","display_name":"ENCODE","level":3,"score":0.5414000153541565},{"id":"https://openalex.org/C177774035","wikidata":"https://www.wikidata.org/wiki/Q1246948","display_name":"Granularity","level":2,"score":0.539900004863739},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.539900004863739},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.5291000008583069},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.4812000095844269},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.43459999561309814},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.40950000286102295},{"id":"https://openalex.org/C2777211547","wikidata":"https://www.wikidata.org/wiki/Q17141490","display_name":"Training (meteorology)","level":2,"score":0.4056999981403351},{"id":"https://openalex.org/C136389625","wikidata":"https://www.wikidata.org/wiki/Q334384","display_name":"Supervised learning","level":3,"score":0.35850000381469727},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.34790000319480896},{"id":"https://openalex.org/C58973888","wikidata":"https://www.wikidata.org/wiki/Q1041418","display_name":"Semi-supervised learning","level":2,"score":0.3012000024318695},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.29760000109672546},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.27810001373291016},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.25839999318122864},{"id":"https://openalex.org/C152565575","wikidata":"https://www.wikidata.org/wiki/Q1124538","display_name":"Conditional random field","level":2,"score":0.2526000142097473}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icme59968.2025.11210109","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme59968.2025.11210109","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Multimedia and Expo (ICME)","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":26,"referenced_works":["https://openalex.org/W1995875735","https://openalex.org/W2152228468","https://openalex.org/W2594519801","https://openalex.org/W2787091153","https://openalex.org/W2798820905","https://openalex.org/W2804865177","https://openalex.org/W2956371155","https://openalex.org/W3035166710","https://openalex.org/W3156905316","https://openalex.org/W3167468752","https://openalex.org/W3176368002","https://openalex.org/W3205626500","https://openalex.org/W3207005171","https://openalex.org/W3210613940","https://openalex.org/W4200150166","https://openalex.org/W4214705313","https://openalex.org/W4312407813","https://openalex.org/W4312790183","https://openalex.org/W4319300837","https://openalex.org/W4321512561","https://openalex.org/W4386076514","https://openalex.org/W4386113241","https://openalex.org/W4388188879","https://openalex.org/W4397007562","https://openalex.org/W4402915835","https://openalex.org/W4403827650"],"related_works":[],"abstract_inverted_index":{"Neural":[0],"Radiance":[1],"Field":[2],"(NeRF)":[3],"models":[4],"are":[5],"implicit":[6],"neural":[7],"scene":[8],"representation":[9],"methods":[10],"that":[11,97,110],"offer":[12],"unprecedented":[13],"capabilities":[14],"in":[15,104,128],"novel":[16,93],"view":[17],"synthesis.":[18],"Semantically-aware":[19],"NeRFs":[20,43],"not":[21],"only":[22],"capture":[23],"the":[24,37,69,116],"shape":[25],"and":[26,86],"radiance":[27],"of":[28,36,41,80,119],"a":[29,64,92],"scene,":[30],"but":[31],"also":[32],"encode":[33],"semantic":[34],"information":[35],"scene.":[38],"The":[39],"training":[40,120],"semantically-aware":[42,81,121],"typically":[44],"requires":[45],"pixel-level":[46],"class":[47],"labels,":[48],"which":[49],"can":[50,113],"be":[51],"prohibitively":[52],"expensive":[53],"to":[54,67,132],"collect.":[55],"In":[56],"this":[57],"work,":[58],"we":[59],"explore":[60],"active":[61,78,94,111],"learning":[62,79,95,112],"as":[63],"potential":[65],"solution":[66],"alleviate":[68],"annotation":[70,117,129],"burden.":[71],"We":[72,89],"investigate":[73],"various":[74],"design":[75],"choices":[76],"for":[77],"NeRF,":[82,122],"including":[83],"selection":[84,87],"granularity":[85],"strategies.":[88],"further":[90],"propose":[91],"strategy":[96],"takes":[98],"into":[99],"account":[100],"3D":[101],"geometric":[102],"constraints":[103],"sample":[105],"selection.":[106],"Our":[107],"experiments":[108],"demonstrate":[109],"effectively":[114],"reduce":[115],"cost":[118,130],"achieving":[123],"more":[124],"than":[125],"2\u00d7":[126],"reduction":[127],"compared":[131],"random":[133],"sampling.":[134]},"counts_by_year":[],"updated_date":"2026-03-07T16:01:11.037858","created_date":"2025-10-30T00:00:00"}
