{"id":"https://openalex.org/W4399769359","doi":"https://doi.org/10.1109/icara60736.2024.10553035","title":"Meta-Learning 3D Shape Segmentation Functions","display_name":"Meta-Learning 3D Shape Segmentation Functions","publication_year":2024,"publication_date":"2024-02-22","ids":{"openalex":"https://openalex.org/W4399769359","doi":"https://doi.org/10.1109/icara60736.2024.10553035"},"language":"en","primary_location":{"id":"doi:10.1109/icara60736.2024.10553035","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icara60736.2024.10553035","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 10th International Conference on Automation, Robotics and Applications (ICARA)","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/A5102925195","display_name":"Hao Yu","orcid":"https://orcid.org/0000-0002-5662-5910"},"institutions":[{"id":"https://openalex.org/I120250893","display_name":"New York University Abu Dhabi","ror":"https://ror.org/00e5k0821","country_code":"AE","type":"education","lineage":["https://openalex.org/I120250893","https://openalex.org/I57206974"]}],"countries":["AE"],"is_corresponding":true,"raw_author_name":"Yu Hao","raw_affiliation_strings":["NYU Abu Dhabi,Abu Dhabi,UAE","NYU Abu Dhabi, Abu Dhabi, UAE"],"affiliations":[{"raw_affiliation_string":"NYU Abu Dhabi,Abu Dhabi,UAE","institution_ids":["https://openalex.org/I120250893"]},{"raw_affiliation_string":"NYU Abu Dhabi, Abu Dhabi, UAE","institution_ids":["https://openalex.org/I120250893"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101667364","display_name":"Hao Huang","orcid":"https://orcid.org/0000-0002-9131-5854"},"institutions":[{"id":"https://openalex.org/I120250893","display_name":"New York University Abu Dhabi","ror":"https://ror.org/00e5k0821","country_code":"AE","type":"education","lineage":["https://openalex.org/I120250893","https://openalex.org/I57206974"]}],"countries":["AE"],"is_corresponding":false,"raw_author_name":"Hao Huang","raw_affiliation_strings":["NYU Abu Dhabi,Abu Dhabi,UAE","NYU Abu Dhabi, Abu Dhabi, UAE"],"affiliations":[{"raw_affiliation_string":"NYU Abu Dhabi,Abu Dhabi,UAE","institution_ids":["https://openalex.org/I120250893"]},{"raw_affiliation_string":"NYU Abu Dhabi, Abu Dhabi, UAE","institution_ids":["https://openalex.org/I120250893"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041372265","display_name":"Shuaihang Yuan","orcid":"https://orcid.org/0000-0002-7092-7966"},"institutions":[{"id":"https://openalex.org/I120250893","display_name":"New York University Abu Dhabi","ror":"https://ror.org/00e5k0821","country_code":"AE","type":"education","lineage":["https://openalex.org/I120250893","https://openalex.org/I57206974"]}],"countries":["AE"],"is_corresponding":false,"raw_author_name":"Shuaihang Yuan","raw_affiliation_strings":["NYU Abu Dhabi,Abu Dhabi,UAE","NYU Abu Dhabi, Abu Dhabi, UAE"],"affiliations":[{"raw_affiliation_string":"NYU Abu Dhabi,Abu Dhabi,UAE","institution_ids":["https://openalex.org/I120250893"]},{"raw_affiliation_string":"NYU Abu Dhabi, Abu Dhabi, UAE","institution_ids":["https://openalex.org/I120250893"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5083935587","display_name":"Yi Fang","orcid":"https://orcid.org/0000-0001-9427-3883"},"institutions":[{"id":"https://openalex.org/I120250893","display_name":"New York University Abu Dhabi","ror":"https://ror.org/00e5k0821","country_code":"AE","type":"education","lineage":["https://openalex.org/I120250893","https://openalex.org/I57206974"]}],"countries":["AE"],"is_corresponding":false,"raw_author_name":"Yi Fang","raw_affiliation_strings":["NYU Abu Dhabi,Abu Dhabi,UAE","NYU Abu Dhabi, Abu Dhabi, UAE"],"affiliations":[{"raw_affiliation_string":"NYU Abu Dhabi,Abu Dhabi,UAE","institution_ids":["https://openalex.org/I120250893"]},{"raw_affiliation_string":"NYU Abu Dhabi, Abu Dhabi, UAE","institution_ids":["https://openalex.org/I120250893"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5102925195"],"corresponding_institution_ids":["https://openalex.org/I120250893"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.09701244,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"1","issue":null,"first_page":"516","last_page":"520"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9998999834060669,"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":0.9998999834060669,"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":0.998199999332428,"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/T11245","display_name":"Advanced Numerical Analysis Techniques","score":0.9976999759674072,"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":0.6729001402854919},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.589647114276886},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5174834728240967},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4430447518825531},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.41392451524734497}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6729001402854919},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.589647114276886},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5174834728240967},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4430447518825531},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.41392451524734497}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icara60736.2024.10553035","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icara60736.2024.10553035","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 10th International Conference on Automation, Robotics and Applications (ICARA)","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":17,"referenced_works":["https://openalex.org/W1920022804","https://openalex.org/W2553307952","https://openalex.org/W2737234477","https://openalex.org/W2788158258","https://openalex.org/W2897035133","https://openalex.org/W2946653762","https://openalex.org/W2962731536","https://openalex.org/W2963121255","https://openalex.org/W2963231572","https://openalex.org/W2963719584","https://openalex.org/W2963735494","https://openalex.org/W2979750740","https://openalex.org/W2982590312","https://openalex.org/W3034652543","https://openalex.org/W6739778489","https://openalex.org/W6763422710","https://openalex.org/W6910779650"],"related_works":["https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2772917594","https://openalex.org/W2775347418","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W1969923398"],"abstract_inverted_index":{"Previous":[0],"deep":[1],"learning":[2],"methods":[3],"for":[4],"3D":[5,38,51,66],"shape":[6,39],"part":[7,52,82,96,100,108,117,129,141,154,163,172,185,195],"segmentation":[8,40,53,67,83,97,101,109,118,130,142,155,164,173,186,196],"often":[9],"require":[10],"extensive":[11],"labeled":[12],"training":[13,46,105],"data,":[14],"which":[15,70,169],"can":[16],"limit":[17],"their":[18],"effectiveness":[19],"on":[20,145,183,202],"unfamiliar":[21],"classes":[22],"with":[23,166,198],"limited":[24],"data.":[25],"To":[26,85],"tackle":[27],"this,":[28],"we":[29,90],"introduce":[30],"a":[31,43,48,115],"novel":[32,93],"meta-learning":[33,88],"strategy":[34],"that":[35,76,190],"regards":[36],"the":[37,61,64,104,107,121,125,127,136,146,162,199,203],"function":[41,68],"as":[42],"task.":[44],"By":[45],"over":[47,63],"number":[49],"of":[50,149],"tasks,":[54],"our":[55,87,152,171,191],"method":[56],"is":[57,77,111,132,157],"capable":[58],"to":[59,72,80,113,134,159,175],"learn":[60],"prior":[62,137],"respective":[65],"space":[69],"leads":[71],"an":[73],"optimal":[74,167],"model":[75,192],"rapidly":[78,176],"adapting":[79],"new":[81,184],"tasks.":[84,143,187],"implement":[86],"strategy,":[89],"propose":[91],"two":[92],"modules:":[94],"meta":[95,128,153],"learner":[98,110,131,156,165,174],"and":[99,178],"learner.":[102],"During":[103],"process,":[106],"trained":[112,133],"complete":[114],"specific":[116],"task":[119,150],"in":[120],"few-shot":[122,200],"scenario.":[123],"In":[124],"meantime,":[126],"capture":[135],"from":[138],"multiple":[139],"similar":[140],"Based":[144],"learned":[147],"information":[148],"distribution,":[151],"able":[158],"dynamically":[160],"update":[161],"parameters":[168],"enable":[170],"adapt":[177],"have":[179],"great":[180],"generalization":[181],"ability":[182],"We":[188],"demonstrate":[189],"achieves":[193],"superior":[194],"performance":[197],"setting":[201],"widely":[204],"used":[205],"dataset:":[206],"ShapeNet.":[207]},"counts_by_year":[],"updated_date":"2025-12-22T23:10:17.713674","created_date":"2025-10-10T00:00:00"}
