{"id":"https://openalex.org/W4285821172","doi":"https://doi.org/10.1109/tcsvt.2022.3191761","title":"Self-Supervised Auxiliary Domain Alignment for Unsupervised 2D Image-Based 3D Shape Retrieval","display_name":"Self-Supervised Auxiliary Domain Alignment for Unsupervised 2D Image-Based 3D Shape Retrieval","publication_year":2022,"publication_date":"2022-07-18","ids":{"openalex":"https://openalex.org/W4285821172","doi":"https://doi.org/10.1109/tcsvt.2022.3191761"},"language":"en","primary_location":{"id":"doi:10.1109/tcsvt.2022.3191761","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2022.3191761","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Circuits and Systems for Video Technology","raw_type":"journal-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/A5081485810","display_name":"An-An Liu","orcid":"https://orcid.org/0000-0001-5755-9145"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"An-An Liu","raw_affiliation_strings":["School of Electrical and Information Engineering, Tianjin University, Tianjin, China","Hefei Comprehensive National Science Center, Institute of Artificial Intelligence, Hefei, China"],"raw_orcid":"https://orcid.org/0000-0001-5755-9145","affiliations":[{"raw_affiliation_string":"School of Electrical and Information Engineering, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]},{"raw_affiliation_string":"Hefei Comprehensive National Science Center, Institute of Artificial Intelligence, Hefei, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006856526","display_name":"Chenyu Zhang","orcid":"https://orcid.org/0000-0001-7822-2517"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chenyu Zhang","raw_affiliation_strings":["School of Electrical and Information Engineering, Tianjin University, Tianjin, China"],"raw_orcid":"https://orcid.org/0000-0001-7822-2517","affiliations":[{"raw_affiliation_string":"School of Electrical and Information Engineering, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100339851","display_name":"Wenhui Li","orcid":"https://orcid.org/0000-0001-9609-6120"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenhui Li","raw_affiliation_strings":["School of Electrical and Information Engineering, Tianjin University, Tianjin, China"],"raw_orcid":"https://orcid.org/0000-0001-9609-6120","affiliations":[{"raw_affiliation_string":"School of Electrical and Information Engineering, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004694827","display_name":"Xingyu Gao","orcid":"https://orcid.org/0000-0002-4660-8092"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210119392","display_name":"Institute of Microelectronics","ror":"https://ror.org/02s6gs133","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210119392"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xingyu Gao","raw_affiliation_strings":["Chinese Academy of Sciences, Institute of Microelectronics, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-4660-8092","affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences, Institute of Microelectronics, Beijing, China","institution_ids":["https://openalex.org/I4210119392","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016507963","display_name":"Zhengya Sun","orcid":"https://orcid.org/0000-0003-2381-6363"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhengya Sun","raw_affiliation_strings":["Chinese Academy of Sciences, Institute of Automation, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences, Institute of Automation, Beijing, China","institution_ids":["https://openalex.org/I4210112150","https://openalex.org/I19820366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5024121467","display_name":"Xuanya Li","orcid":"https://orcid.org/0000-0002-2227-207X"},"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":"Xuanya Li","raw_affiliation_strings":["Baidu Inc., Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-2227-207X","affiliations":[{"raw_affiliation_string":"Baidu Inc., Beijing, China","institution_ids":["https://openalex.org/I98301712"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5081485810"],"corresponding_institution_ids":["https://openalex.org/I162868743"],"apc_list":null,"apc_paid":null,"fwci":3.1535,"has_fulltext":false,"cited_by_count":20,"citation_normalized_percentile":{"value":0.92036043,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":99},"biblio":{"volume":"32","issue":"12","first_page":"8809","last_page":"8821"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9921000003814697,"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":0.9921000003814697,"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":0.9898999929428101,"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/T14339","display_name":"Image Processing and 3D Reconstruction","score":0.9889000058174133,"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/discriminative-model","display_name":"Discriminative model","score":0.7687118053436279},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7286825180053711},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7284258008003235},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6850336790084839},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.6506751775741577},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.560017466545105},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4865337908267975},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.4527190327644348},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4121735990047455},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4086650609970093},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.201271653175354}],"concepts":[{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.7687118053436279},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7286825180053711},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7284258008003235},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6850336790084839},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.6506751775741577},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.560017466545105},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4865337908267975},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.4527190327644348},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4121735990047455},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4086650609970093},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.201271653175354},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tcsvt.2022.3191761","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2022.3191761","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Circuits and Systems for Video Technology","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.7300000190734863,"display_name":"Reduced inequalities"}],"awards":[{"id":"https://openalex.org/G1611867576","display_name":null,"funder_award_id":"2022M712369","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G173205433","display_name":null,"funder_award_id":"U21B2024","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320318547","display_name":"Baidu","ror":"https://ror.org/03vs3wt56"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321543","display_name":"China Postdoctoral Science Foundation","ror":"https://ror.org/0426zh255"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":68,"referenced_works":["https://openalex.org/W1644641054","https://openalex.org/W1661149683","https://openalex.org/W1722318740","https://openalex.org/W1882958252","https://openalex.org/W2083163329","https://openalex.org/W2122585444","https://openalex.org/W2163605009","https://openalex.org/W2258484932","https://openalex.org/W2328765253","https://openalex.org/W2593768305","https://openalex.org/W2616287544","https://openalex.org/W2765407302","https://openalex.org/W2788292300","https://openalex.org/W2798377719","https://openalex.org/W2798681837","https://openalex.org/W2803297029","https://openalex.org/W2805760974","https://openalex.org/W2884771968","https://openalex.org/W2944141891","https://openalex.org/W2947963561","https://openalex.org/W2953127297","https://openalex.org/W2962988048","https://openalex.org/W2963048248","https://openalex.org/W2963275094","https://openalex.org/W2963731667","https://openalex.org/W2964278684","https://openalex.org/W2968378480","https://openalex.org/W2976674591","https://openalex.org/W2976726839","https://openalex.org/W2980535048","https://openalex.org/W2981506675","https://openalex.org/W2982683587","https://openalex.org/W2992308087","https://openalex.org/W2997310315","https://openalex.org/W3034526587","https://openalex.org/W3034590424","https://openalex.org/W3034591020","https://openalex.org/W3034706886","https://openalex.org/W3034724202","https://openalex.org/W3034971598","https://openalex.org/W3035316220","https://openalex.org/W3035701489","https://openalex.org/W3048279577","https://openalex.org/W3093133634","https://openalex.org/W3103469523","https://openalex.org/W3152685972","https://openalex.org/W3175370657","https://openalex.org/W3176602994","https://openalex.org/W3192693288","https://openalex.org/W3202408237","https://openalex.org/W3203755984","https://openalex.org/W3212972912","https://openalex.org/W4205474609","https://openalex.org/W4287630250","https://openalex.org/W6639480849","https://openalex.org/W6684191040","https://openalex.org/W6687400500","https://openalex.org/W6713955831","https://openalex.org/W6725448924","https://openalex.org/W6745136726","https://openalex.org/W6751635369","https://openalex.org/W6762823943","https://openalex.org/W6763695094","https://openalex.org/W6773490324","https://openalex.org/W6782035648","https://openalex.org/W6784449424","https://openalex.org/W6784934235","https://openalex.org/W6803458881"],"related_works":["https://openalex.org/W2965546495","https://openalex.org/W2153315159","https://openalex.org/W3103844505","https://openalex.org/W4205463238","https://openalex.org/W259157601","https://openalex.org/W2761785940","https://openalex.org/W2110523656","https://openalex.org/W1482209366","https://openalex.org/W2521627374","https://openalex.org/W2385445231"],"abstract_inverted_index":{"Unsupervised":[0],"2D":[1,17,98,278],"image-based":[2,99,279],"3D":[3,11,66,100,130,205,280],"shape":[4,101,131,281],"retrieval":[5,282],"aims":[6],"to":[7,41,57,148,182,198,218,227,250],"match":[8],"the":[9,32,42,59,63,70,84,138,146,150,159,164,169,179,189,200,220,228,253,269,276],"similar":[10],"unlabeled":[12,64],"shapes":[13,67,206],"when":[14],"given":[15],"a":[16,21,27],"labeled":[18,171],"sample.":[19],"Although":[20],"lot":[22],"of":[23,30,34,44,62,72,79,128,161,203],"methods":[24],"have":[25],"made":[26],"certain":[28],"degree":[29],"progress,":[31],"performance":[33,274],"this":[35,53],"task":[36],"is":[37,216],"still":[38],"restricted":[39],"due":[40],"lack":[43],"target":[45,65,174,204,224,232,235,260],"labels":[46],"resulting":[47],"in":[48,153,275],"tremendous":[49],"domain":[50,73,93,114,118,165,225,233,236,257],"gap.":[51],"In":[52],"paper,":[54],"we":[55,87,124,167],"aim":[56],"explore":[58,199],"discriminative":[60],"representation":[61],"and":[68,111,120,141,173,194,207,222,230,237,245,258],"facilitate":[69],"procedure":[71],"adaptation":[74],"by":[75],"taking":[76],"full":[77],"advantage":[78],"multi-view":[80,106],"information.":[81],"To":[82,157],"achieve":[83],"above":[85],"goals,":[86],"propose":[88],"an":[89,154,184],"effective":[90],"self-supervised":[91,108],"auxiliary":[92,113],"alignment":[94,119,191,215,226,247],"(SADA)":[95],"for":[96,211],"unsupervised":[97,155,277],"retrieval.":[102],"SADA":[103],"mainly":[104],"contains":[105],"guided":[107],"feature":[109,151],"learning":[110,152],"two":[112,133,238,264],"alignments,":[115],"including":[116],"intermediate":[117,185],"multi-domain":[121,214],"alignment.":[122],"Firstly,":[123],"group":[125],"multiple":[126,231,259],"views":[127],"each":[129,143],"into":[132,192],"sub-target":[134,239],"domains":[135],"based":[136],"on":[137,263],"view":[139],"similarities":[140],"regard":[142],"other":[144],"as":[145],"constraint":[147],"optimize":[149],"manner.":[156],"reduce":[158],"difficulty":[160],"directly":[162],"aligning":[163],"discrepancy,":[166],"combine":[168],"source":[170,221,229,256],"samples":[172,175],"(pseudo":[176],"labels)":[177],"with":[178],"same":[180],"category":[181],"generate":[183],"domain,":[186],"which":[187],"translates":[188],"source-target":[190],"source-intermediate":[193],"intermediate-target":[195],"alignments.":[196,241],"Moreover,":[197],"inner":[201],"characteristics":[202],"provide":[208],"more":[209],"clues":[210],"better":[212],"adaptation,":[213],"proposed":[217,270],"convert":[219],"single":[223],"(one":[234],"domains)":[240],"The":[242],"adversarial":[243],"training":[244],"semantic":[246],"are":[248],"employed":[249],"fully":[251],"excavate":[252],"relations":[254],"between":[255],"domains.":[261],"Experiments":[262],"challenging":[265],"datasets":[266],"show":[267],"that":[268],"method":[271],"achieves":[272],"competing":[273],"task.":[283]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":9},{"year":2023,"cited_by_count":7}],"updated_date":"2026-05-30T09:04:40.226872","created_date":"2025-10-10T00:00:00"}
