{"id":"https://openalex.org/W4409761057","doi":"https://doi.org/10.1109/lra.2025.3564218","title":"TTAPose: Test-Time Adaptation for Unseen Object Pose Estimation","display_name":"TTAPose: Test-Time Adaptation for Unseen Object Pose Estimation","publication_year":2025,"publication_date":"2025-04-24","ids":{"openalex":"https://openalex.org/W4409761057","doi":"https://doi.org/10.1109/lra.2025.3564218"},"language":"en","primary_location":{"id":"doi:10.1109/lra.2025.3564218","is_oa":true,"landing_page_url":"https://doi.org/10.1109/lra.2025.3564218","pdf_url":null,"source":{"id":"https://openalex.org/S4210169774","display_name":"IEEE Robotics and Automation Letters","issn_l":"2377-3766","issn":["2377-3766","2377-3774"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Robotics and Automation Letters","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.1109/lra.2025.3564218","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100588512","display_name":"Junwen Huang","orcid":null},"institutions":[{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Junwen Huang","raw_affiliation_strings":["Technical University of Munich, München, Germany","Technical University of Munich, Germany"],"raw_orcid":"https://orcid.org/0000-0002-0504-2395","affiliations":[{"raw_affiliation_string":"Technical University of Munich, München, Germany","institution_ids":["https://openalex.org/I62916508"]},{"raw_affiliation_string":"Technical University of Munich, Germany","institution_ids":["https://openalex.org/I62916508"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110430490","display_name":"Peter Yu","orcid":null},"institutions":[{"id":"https://openalex.org/I4210116723","display_name":"Robotics Research (United States)","ror":"https://ror.org/020w2fr77","country_code":"US","type":"company","lineage":["https://openalex.org/I4210116723"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Peter KT Yu","raw_affiliation_strings":["XYZ Robotics, Allston, MA, USA","XYZ Robotics, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"XYZ Robotics, Allston, MA, USA","institution_ids":["https://openalex.org/I4210116723"]},{"raw_affiliation_string":"XYZ Robotics, USA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046896448","display_name":"Nassir Navab","orcid":"https://orcid.org/0000-0002-6032-5611"},"institutions":[{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Nassir Navab","raw_affiliation_strings":["Technical University of Munich, München, Germany","Technical University of Munich, Germany"],"raw_orcid":"https://orcid.org/0000-0002-6032-5611","affiliations":[{"raw_affiliation_string":"Technical University of Munich, München, Germany","institution_ids":["https://openalex.org/I62916508"]},{"raw_affiliation_string":"Technical University of Munich, Germany","institution_ids":["https://openalex.org/I62916508"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5067135033","display_name":"Benjamin Busam","orcid":"https://orcid.org/0000-0002-0620-5774"},"institutions":[{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Benjamin Busam","raw_affiliation_strings":["Technical University of Munich, München, Germany","Technical University of Munich, Germany"],"raw_orcid":"https://orcid.org/0000-0002-0620-5774","affiliations":[{"raw_affiliation_string":"Technical University of Munich, München, Germany","institution_ids":["https://openalex.org/I62916508"]},{"raw_affiliation_string":"Technical University of Munich, Germany","institution_ids":["https://openalex.org/I62916508"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":2645,"currency":"USD","value_usd":2645},"apc_paid":{"value":2645,"currency":"USD","value_usd":2645},"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.05595953,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"10","issue":"6","first_page":"6063","last_page":"6070"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9966999888420105,"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"}},"topics":[{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9966999888420105,"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/T10653","display_name":"Robot Manipulation and Learning","score":0.9914000034332275,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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":0.9883000254631042,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.6649662256240845},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.6545584201812744},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6454333662986755},{"id":"https://openalex.org/keywords/pose","display_name":"Pose","score":0.6365435123443604},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5395672917366028},{"id":"https://openalex.org/keywords/test","display_name":"Test (biology)","score":0.4985027313232422},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.4942324459552765},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.14101237058639526},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.04203668236732483}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6649662256240845},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.6545584201812744},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6454333662986755},{"id":"https://openalex.org/C52102323","wikidata":"https://www.wikidata.org/wiki/Q1671968","display_name":"Pose","level":2,"score":0.6365435123443604},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5395672917366028},{"id":"https://openalex.org/C2777267654","wikidata":"https://www.wikidata.org/wiki/Q3519023","display_name":"Test (biology)","level":2,"score":0.4985027313232422},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.4942324459552765},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.14101237058639526},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.04203668236732483},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lra.2025.3564218","is_oa":true,"landing_page_url":"https://doi.org/10.1109/lra.2025.3564218","pdf_url":null,"source":{"id":"https://openalex.org/S4210169774","display_name":"IEEE Robotics and Automation Letters","issn_l":"2377-3766","issn":["2377-3766","2377-3774"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Robotics and Automation Letters","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1109/lra.2025.3564218","is_oa":true,"landing_page_url":"https://doi.org/10.1109/lra.2025.3564218","pdf_url":null,"source":{"id":"https://openalex.org/S4210169774","display_name":"IEEE Robotics and Automation Letters","issn_l":"2377-3766","issn":["2377-3766","2377-3774"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Robotics and Automation Letters","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":85,"referenced_works":["https://openalex.org/W132147841","https://openalex.org/W1526868886","https://openalex.org/W1969868017","https://openalex.org/W1991544872","https://openalex.org/W2124386111","https://openalex.org/W2136567909","https://openalex.org/W2161168419","https://openalex.org/W2214409633","https://openalex.org/W2344474200","https://openalex.org/W2513600924","https://openalex.org/W2580726517","https://openalex.org/W2604236302","https://openalex.org/W2781064046","https://openalex.org/W2889903120","https://openalex.org/W2963188159","https://openalex.org/W2963675327","https://openalex.org/W2963756608","https://openalex.org/W2963892972","https://openalex.org/W2964249569","https://openalex.org/W2989915422","https://openalex.org/W3009516594","https://openalex.org/W3034275286","https://openalex.org/W3034303554","https://openalex.org/W3034573608","https://openalex.org/W3034597466","https://openalex.org/W3035091076","https://openalex.org/W3035198432","https://openalex.org/W3043075211","https://openalex.org/W3096609285","https://openalex.org/W3107730598","https://openalex.org/W3107992529","https://openalex.org/W3110330833","https://openalex.org/W3127593632","https://openalex.org/W3163945288","https://openalex.org/W3177069133","https://openalex.org/W3178144853","https://openalex.org/W3179923621","https://openalex.org/W3193676140","https://openalex.org/W3202538459","https://openalex.org/W3204319309","https://openalex.org/W3207187156","https://openalex.org/W3207966761","https://openalex.org/W3214778407","https://openalex.org/W3216621076","https://openalex.org/W4200604336","https://openalex.org/W4221167997","https://openalex.org/W4224598146","https://openalex.org/W4225986028","https://openalex.org/W4226321491","https://openalex.org/W4226322645","https://openalex.org/W4285102264","https://openalex.org/W4311640782","https://openalex.org/W4312270557","https://openalex.org/W4312296985","https://openalex.org/W4312359138","https://openalex.org/W4312670700","https://openalex.org/W4383108845","https://openalex.org/W4383109459","https://openalex.org/W4385805054","https://openalex.org/W4386066268","https://openalex.org/W4386075587","https://openalex.org/W4386075917","https://openalex.org/W4386076224","https://openalex.org/W4390190811","https://openalex.org/W4390533816","https://openalex.org/W4390873315","https://openalex.org/W4390874575","https://openalex.org/W4401415011","https://openalex.org/W4402623738","https://openalex.org/W4402727146","https://openalex.org/W4402727657","https://openalex.org/W4402754209","https://openalex.org/W4403510570","https://openalex.org/W4403842181","https://openalex.org/W6631190155","https://openalex.org/W6687718950","https://openalex.org/W6733814495","https://openalex.org/W6743668622","https://openalex.org/W6780178746","https://openalex.org/W6783432159","https://openalex.org/W6783501676","https://openalex.org/W6788125050","https://openalex.org/W6798369812","https://openalex.org/W6851800889","https://openalex.org/W6855905062"],"related_works":["https://openalex.org/W2123263858","https://openalex.org/W3127959533","https://openalex.org/W2997567050","https://openalex.org/W4387967917","https://openalex.org/W4387968151","https://openalex.org/W4386925306","https://openalex.org/W3132124459","https://openalex.org/W2736638679","https://openalex.org/W4313046826","https://openalex.org/W1968716783"],"abstract_inverted_index":{"Recent":[0],"advances":[1],"in":[2],"the":[3,19,64,120],"field":[4],"of":[5,9,43],"6D":[6],"pose":[7,46,85],"estimation":[8],"unseen":[10,50,71],"objects":[11],"not":[12],"present":[13],"during":[14],"training":[15],"are":[16],"promising,":[17],"however,":[18],"performance":[20,112],"gap":[21,121],"between":[22],"these":[23],"general":[24],"methods":[25,28],"and":[26,61,106],"object-specific":[27,123],"remains":[29],"significant.":[30],"This":[31],"paper":[32],"introduces":[33],"an":[34,83],"innovative":[35],"unsupervised":[36,67],"test-time":[37],"adaptation":[38],"method,":[39],"termed":[40],"TTAPose,":[41],"capable":[42],"adapting":[44],"a":[45,57,79],"estimator":[47],"to":[48,88,115,122],"any":[49],"object.":[51],"TTAPose":[52,94],"initially":[53],"undergoes":[54],"pre-training":[55],"using":[56,66],"large":[58],"synthetic":[59],"dataset":[60],"thereafter":[62],"refines":[63],"weights":[65],"loss":[68],"conducted":[69],"on":[70,78],"real-world":[72],"target":[73,100],"objects.":[74],"The":[75],"network,":[76],"based":[77],"teacher-student":[80],"architecture,":[81],"leverages":[82],"RGB-D":[84],"refinement":[86],"pipeline":[87],"incrementally":[89],"improve":[90],"pseudo":[91],"labels.":[92],"Notably,":[93],"operates":[95],"with":[96],"no":[97],"requirement":[98],"for":[99],"data":[101,107],"annotation,":[102],"thus":[103],"minimizing":[104],"time":[105],"expenditure.":[108],"Experimental":[109],"results":[110],"show":[111],"levels":[113],"comparable":[114],"supervised":[116],"methods,":[117],"effectively":[118],"narrowing":[119],"baselines.":[124]},"counts_by_year":[],"updated_date":"2026-08-21T09:56:20.448147","created_date":"2025-10-10T00:00:00"}