{"id":"https://openalex.org/W4310562147","doi":"https://doi.org/10.48550/arxiv.2211.17126","title":"Multi-latent Space Alignments for Unsupervised Domain Adaptation in Multi-view 3D Object Detection","display_name":"Multi-latent Space Alignments for Unsupervised Domain Adaptation in Multi-view 3D Object Detection","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4310562147","doi":"https://doi.org/10.48550/arxiv.2211.17126"},"language":"en","primary_location":{"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2211.17126","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_indexed_in_scopus":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":["Cornell University"],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false},"type":"preprint","type_crossref":"posted-content","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/abs/2211.17126","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100440961","display_name":"Jiaming Liu","orcid":"https://orcid.org/0000-0001-5697-1656"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liu, Jiaming","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101803269","display_name":"Rongyu Zhang","orcid":"https://orcid.org/0000-0002-9174-1765"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang, Rongyu","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101036467","display_name":"Xiaowei Chi","orcid":"https://orcid.org/0000-0003-1788-8045"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chi, Xiaowei","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100634702","display_name":"Xiaoqi Li","orcid":"https://orcid.org/0000-0002-6012-9178"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li, Xiaoqi","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109721051","display_name":"Ming Lu","orcid":"https://orcid.org/0009-0006-0930-2189"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lu, Ming","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038064028","display_name":"Yandong Guo","orcid":"https://orcid.org/0000-0002-4594-8415"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Guo, Yandong","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5003507575","display_name":"Shanghang Zhang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang, Shanghang","raw_affiliation_strings":[],"affiliations":[]}],"institution_assertions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":0,"max":60},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9995,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9995,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10036","display_name":"Advanced Neural Network Applications","score":0.998,"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9822,"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"}}],"keywords":[],"concepts":[{"id":"https://openalex.org/C54170458","wikidata":"https://www.wikidata.org/wiki/Q663554","display_name":"Voxel","level":2,"score":0.73207664},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7232052},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.6816411},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.63525736},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.6084725},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5347029},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.49211782},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.47418413},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.46998608},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.46668252},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.46252638},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.37861615},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13172829},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2211.17126","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_indexed_in_scopus":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":["Cornell University"],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false},{"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2211.17126","pdf_url":"http://arxiv.org/pdf/2211.17126","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_indexed_in_scopus":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":["Cornell University"],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false},{"is_oa":false,"landing_page_url":"https://api.datacite.org/dois/10.48550/arxiv.2211.17126","pdf_url":null,"source":{"id":"https://openalex.org/S4393179698","display_name":"DataCite API","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_indexed_in_scopus":false,"is_core":false,"host_organization":"https://openalex.org/I4210145204","host_organization_name":"DataCite","host_organization_lineage":["https://openalex.org/I4210145204"],"host_organization_lineage_names":["DataCite"],"type":"metadata"},"license":null,"license_id":null,"version":null}],"best_oa_location":{"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2211.17126","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_indexed_in_scopus":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":["Cornell University"],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false},"sustainable_development_goals":[],"grants":[],"datasets":[],"versions":[],"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4388145910","https://openalex.org/W4248336175","https://openalex.org/W3027020613","https://openalex.org/W3009369890","https://openalex.org/W2391445434","https://openalex.org/W2381570729","https://openalex.org/W2366107444","https://openalex.org/W2031260042","https://openalex.org/W2016533837","https://openalex.org/W1976205134"],"abstract_inverted_index":{"Vision-centric":[0],"bird-eye-view":[1],"(BEV)":[2],"perception":[3,66],"has":[4],"shown":[5],"promising":[6],"potential":[7],"in":[8,29,46,140],"autonomous":[9],"driving.":[10],"Recent":[11],"works":[12],"mainly":[13],"focus":[14],"on":[15,78,201],"improving":[16],"efficiency":[17],"or":[18],"accuracy":[19],"but":[20],"neglect":[21],"the":[22,41,54,74,105,149,157,165,189],"challenges":[23],"when":[24],"facing":[25],"environment":[26],"changing,":[27],"resulting":[28],"severe":[30],"degradation":[31],"of":[32,111,153,191],"transfer":[33],"performance.":[34,208],"For":[35],"BEV":[36,65,88,143,196],"perception,":[37],"we":[38,95,194],"figure":[39],"out":[40],"significant":[42],"domain":[43,75,106,151,166],"gaps":[44],"existing":[45],"typical":[47],"real-world":[48],"cross-domain":[49,203],"scenarios":[50,204],"and":[51,70,116,128,142,179,205],"comprehensively":[52],"solve":[53],"Domain":[55],"Adaption":[56],"(DA)":[57],"problem":[58],"for":[59],"multi-view":[60],"3D":[61,84,197],"object":[62,198],"detection.":[63],"Since":[64],"approaches":[67],"are":[68],"complicated":[69],"contain":[71],"several":[72],"components,":[73],"shift":[76,107],"accumulation":[77],"multiple":[79,154],"geometric":[80,176],"spaces":[81,155],"(i.e.,":[82],"2D,":[83],"Voxel,":[85],"BEV)":[86],"makes":[87],"DA":[89],"even":[90],"challenging.":[91],"In":[92,160],"this":[93],"paper,":[94],"propose":[96],"a":[97,112,117,174],"Multi-space":[98],"Alignment":[99],"Teacher-Student":[100],"(MATS)":[101],"framework":[102],"to":[103,132,156,162,173],"ease":[104],"accumulation,":[108],"which":[109],"consists":[110],"Depth-Aware":[113],"Teacher":[114],"(DAT)":[115],"Geometric-space":[118],"Aligned":[119],"Student":[120],"(GAS)":[121],"model.":[122,159],"DAT":[123],"tactfully":[124],"combines":[125],"target":[126,137],"lidar":[127],"reliable":[129],"depth":[130],"prediction":[131],"construct":[133],"depth-aware":[134],"information,":[135],"extracting":[136],"domain-specific":[138],"knowledge":[139,152],"Voxel":[141],"feature":[144],"spaces.":[145],"It":[146],"then":[147],"transfers":[148],"sufficient":[150],"student":[158],"order":[161],"jointly":[163],"alleviate":[164],"shift,":[167],"GAS":[168],"projects":[169],"multi-geometric":[170],"space":[171,178],"features":[172],"shared":[175],"embedding":[177],"decreases":[180],"data":[181],"distribution":[182],"distance":[183],"between":[184],"two":[185],"domains.":[186],"To":[187],"verify":[188],"effectiveness":[190],"our":[192],"method,":[193],"conduct":[195],"detection":[199],"experiments":[200],"three":[202],"achieve":[206],"state-of-the-art":[207]},"abstract_inverted_index_v3":null,"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W4310562147","counts_by_year":[],"updated_date":"2025-01-21T19:26:13.190136","created_date":"2022-12-12"}