{"id":"https://openalex.org/W4402728160","doi":"https://doi.org/10.1109/cvpr52733.2024.01393","title":"Dynamic Adapter Meets Prompt Tuning: Parameter-Efficient Transfer Learning for Point Cloud Analysis","display_name":"Dynamic Adapter Meets Prompt Tuning: Parameter-Efficient Transfer Learning for Point Cloud Analysis","publication_year":2024,"publication_date":"2024-06-16","ids":{"openalex":"https://openalex.org/W4402728160","doi":"https://doi.org/10.1109/cvpr52733.2024.01393"},"language":"en","primary_location":{"id":"doi:10.1109/cvpr52733.2024.01393","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr52733.2024.01393","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)","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/A5101860857","display_name":"Xin Zhou","orcid":"https://orcid.org/0009-0009-4752-6118"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xin Zhou","raw_affiliation_strings":["Huazhong University of Science and Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Huazhong University of Science and Technology","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012178361","display_name":"Dingkang Liang","orcid":"https://orcid.org/0000-0003-3035-1373"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dingkang Liang","raw_affiliation_strings":["Huazhong University of Science and Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Huazhong University of Science and Technology","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5115592426","display_name":"Wei Xu","orcid":"https://orcid.org/0009-0006-3042-608X"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Xu","raw_affiliation_strings":["Huazhong University of Science and Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Huazhong University of Science and Technology","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113134736","display_name":"Xingkui Zhu","orcid":null},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xingkui Zhu","raw_affiliation_strings":["Huazhong University of Science and Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Huazhong University of Science and Technology","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101838296","display_name":"Yihan Xu","orcid":"https://orcid.org/0009-0003-4669-4757"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yihan Xu","raw_affiliation_strings":["Huazhong University of Science and Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Huazhong University of Science and Technology","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023883607","display_name":"Zhikang Zou","orcid":"https://orcid.org/0000-0003-3524-2942"},"institutions":[{"id":"https://openalex.org/I98301712","display_name":"Baidu (China)","ror":"https://ror.org/03vs3wt56","country_code":"CN","type":"company","lineage":["https://openalex.org/I98301712"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhikang Zou","raw_affiliation_strings":["Baidu Inc.,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Baidu Inc.,China","institution_ids":["https://openalex.org/I98301712"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5039363991","display_name":"Xiang Bai","orcid":"https://orcid.org/0000-0002-3449-5940"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiang Bai","raw_affiliation_strings":["Huazhong University of Science and Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Huazhong University of Science and Technology","institution_ids":["https://openalex.org/I47720641"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5101860857"],"corresponding_institution_ids":["https://openalex.org/I47720641"],"apc_list":null,"apc_paid":null,"fwci":8.8006,"has_fulltext":false,"cited_by_count":25,"citation_normalized_percentile":{"value":0.99045292,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"14707","last_page":"14717"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9998000264167786,"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":0.9998000264167786,"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/T11211","display_name":"3D Surveying and Cultural Heritage","score":0.9972000122070312,"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/T11245","display_name":"Advanced Numerical Analysis Techniques","score":0.9959999918937683,"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/adapter","display_name":"Adapter (computing)","score":0.7691425681114197},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6961719989776611},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.5291327238082886},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.49647170305252075},{"id":"https://openalex.org/keywords/point-cloud","display_name":"Point cloud","score":0.4911455810070038},{"id":"https://openalex.org/keywords/transfer","display_name":"Transfer (computing)","score":0.4668498635292053},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.4169250726699829},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.3397987484931946},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.23970544338226318},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.13021191954612732},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09405192732810974}],"concepts":[{"id":"https://openalex.org/C177284502","wikidata":"https://www.wikidata.org/wiki/Q1005390","display_name":"Adapter (computing)","level":2,"score":0.7691425681114197},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6961719989776611},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.5291327238082886},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.49647170305252075},{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.4911455810070038},{"id":"https://openalex.org/C2776175482","wikidata":"https://www.wikidata.org/wiki/Q1195816","display_name":"Transfer (computing)","level":2,"score":0.4668498635292053},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.4169250726699829},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.3397987484931946},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.23970544338226318},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.13021191954612732},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09405192732810974},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cvpr52733.2024.01393","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr52733.2024.01393","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4189157326","display_name":null,"funder_award_id":"62225603","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":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":59,"referenced_works":["https://openalex.org/W1920022804","https://openalex.org/W2338908902","https://openalex.org/W2553307952","https://openalex.org/W2560609797","https://openalex.org/W2560722161","https://openalex.org/W2963509914","https://openalex.org/W2979750740","https://openalex.org/W2981440248","https://openalex.org/W3119438769","https://openalex.org/W3128716822","https://openalex.org/W3155390614","https://openalex.org/W3168867926","https://openalex.org/W3176828726","https://openalex.org/W3202611145","https://openalex.org/W3204568647","https://openalex.org/W3206816211","https://openalex.org/W4200629389","https://openalex.org/W4205991051","https://openalex.org/W4312270234","https://openalex.org/W4312317653","https://openalex.org/W4312501532","https://openalex.org/W4312707458","https://openalex.org/W4312788538","https://openalex.org/W4312903973","https://openalex.org/W4312910764","https://openalex.org/W4312980726","https://openalex.org/W4313145913","https://openalex.org/W4313156423","https://openalex.org/W4327519267","https://openalex.org/W4378510493","https://openalex.org/W4382463911","https://openalex.org/W4386066615","https://openalex.org/W4386075590","https://openalex.org/W4386076253","https://openalex.org/W4386083036","https://openalex.org/W4386083138","https://openalex.org/W4390873067","https://openalex.org/W4390874543","https://openalex.org/W4390889783","https://openalex.org/W4391988324","https://openalex.org/W6703652217","https://openalex.org/W6739778489","https://openalex.org/W6759579507","https://openalex.org/W6780515965","https://openalex.org/W6784333009","https://openalex.org/W6796710205","https://openalex.org/W6801494532","https://openalex.org/W6802744804","https://openalex.org/W6810249204","https://openalex.org/W6810601475","https://openalex.org/W6838701581","https://openalex.org/W6839294089","https://openalex.org/W6839446344","https://openalex.org/W6847873191","https://openalex.org/W6849622024","https://openalex.org/W6859499835","https://openalex.org/W6860415673","https://openalex.org/W6861742303","https://openalex.org/W6862339684"],"related_works":["https://openalex.org/W2133028525","https://openalex.org/W4229060448","https://openalex.org/W4306381730","https://openalex.org/W2981692913","https://openalex.org/W3044188621","https://openalex.org/W3184035966","https://openalex.org/W2160602540","https://openalex.org/W2485605994","https://openalex.org/W4385571108","https://openalex.org/W4200251711"],"abstract_inverted_index":{"Point":[0],"cloud":[1,10,58],"analysis":[2,59],"has":[3],"achieved":[4],"outstanding":[5],"performance":[6,66,139],"by":[7,115,156],"transferring":[8],"point":[9,57],"pretrained":[11,81],"models.":[12],"However,":[13],"existing":[14],"methods":[15],"for":[16,56,94,123],"model":[17,22],"adaptation":[18],"usually":[19],"update":[20],"all":[21],"parameters,":[23],"i.e.,":[24],"full":[25,143],"fine-tuning":[26,144],"paradigm,":[27],"which":[28,89],"is":[29,162],"inefficient":[30],"as":[31],"it":[32],"relies":[33],"on":[34,128],"high":[35],"computational":[36],"costs":[37],"(e.g.,":[38],"training":[39,153],"GPU":[40,154],"memory)":[41],"and":[42,67,83,152,158],"massive":[43],"storage":[44],"space.":[45],"In":[46],"this":[47,72],"paper,":[48],"we":[49,74],"aim":[50],"to":[51,101,141],"study":[52],"parameter-efficient":[53],"transfer":[54],"learning":[55],"with":[60,111],"an":[61],"ideal":[62],"tradeoff":[63],"between":[64],"task":[65],"parameter":[68],"efficiency.":[69],"To":[70],"achieve":[71],"goal,":[73],"freeze":[75],"the":[76,79,86,98,102,120,134,142,149],"parameters":[77,151],"of":[78],"default":[80],"models":[82],"then":[84],"propose":[85],"Dynamic":[87,109],"Adapter,":[88],"generates":[90],"a":[91],"dynamic":[92],"scale":[93],"each":[95],"token,":[96],"considering":[97],"token":[99],"significance":[100],"downstream":[103],"task.":[104],"We":[105],"further":[106],"seamlessly":[107],"integrate":[108],"Adapter":[110],"Prompt":[112],"Tuning":[113],"(DAPT)":[114],"constructing":[116],"Internal":[117],"Prompts,":[118],"capturing":[119],"instance-specific":[121],"features":[122],"interaction.":[124],"Extensive":[125],"experiments":[126],"conducted":[127],"five":[129],"challenging":[130],"datasets":[131],"demonstrate":[132],"that":[133],"proposed":[135],"DAPT":[136],"achieves":[137],"superior":[138],"compared":[140],"counterparts":[145],"while":[146],"significantly":[147],"reducing":[148],"trainable":[150],"memory":[155],"95%":[157],"35%,":[159],"respectively.":[160],"Code":[161],"available":[163],"at":[164],"https://github.com/LMD0311/DAPT.":[165]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":14},{"year":2024,"cited_by_count":7}],"updated_date":"2026-05-05T08:41:31.759640","created_date":"2025-10-10T00:00:00"}
