{"id":"https://openalex.org/W4225789408","doi":"https://doi.org/10.1109/tcsvt.2022.3168967","title":"Learning Transferable and Discriminative Representations for 2D Image-Based 3D Model Retrieval","display_name":"Learning Transferable and Discriminative Representations for 2D Image-Based 3D Model Retrieval","publication_year":2022,"publication_date":"2022-04-20","ids":{"openalex":"https://openalex.org/W4225789408","doi":"https://doi.org/10.1109/tcsvt.2022.3168967"},"language":"en","primary_location":{"id":"doi:10.1109/tcsvt.2022.3168967","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2022.3168967","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/A5061046810","display_name":"Yaqian Zhou","orcid":null},"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":"Yaqian Zhou","raw_affiliation_strings":["School of Microelectronics, Tianjin University, Tianjin, China","Institute of Artificial Intelligence, Hefei Comprehensive National Science Center, Hefei, China"],"raw_orcid":"https://orcid.org/0000-0001-9473-4221","affiliations":[{"raw_affiliation_string":"School of Microelectronics, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]},{"raw_affiliation_string":"Institute of Artificial Intelligence, Hefei Comprehensive National Science Center, Hefei, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034675261","display_name":"Yu Liu","orcid":"https://orcid.org/0000-0002-5949-6587"},"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":"Yu Liu","raw_affiliation_strings":["School of Microelectronics, Tianjin University, Tianjin, China"],"raw_orcid":"https://orcid.org/0000-0002-5949-6587","affiliations":[{"raw_affiliation_string":"School of Microelectronics, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042213182","display_name":"Heyu Zhou","orcid":null},"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":"Heyu Zhou","raw_affiliation_strings":["School of Electrical and Information Engineering, Tianjin University, Tianjin, China"],"raw_orcid":"https://orcid.org/0000-0001-9451-5600","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/A5068843001","display_name":"Zhiyong Cheng","orcid":"https://orcid.org/0000-0003-1109-5028"},"institutions":[{"id":"https://openalex.org/I152269853","display_name":"Qilu University of Technology","ror":"https://ror.org/04hyzq608","country_code":"CN","type":"education","lineage":["https://openalex.org/I152269853"]},{"id":"https://openalex.org/I4210142748","display_name":"Shandong Academy of Sciences","ror":"https://ror.org/04y8d6y55","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210142748"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiyong Cheng","raw_affiliation_strings":["Shandong Artificial Intelligence Institute, Qilu University of Technology (Shandong Academy of Sciences), Jinan, China"],"raw_orcid":"https://orcid.org/0000-0003-1109-5028","affiliations":[{"raw_affiliation_string":"Shandong Artificial Intelligence Institute, Qilu University of Technology (Shandong Academy of Sciences), Jinan, China","institution_ids":["https://openalex.org/I4210142748","https://openalex.org/I152269853"]}]},{"author_position":"middle","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"]}]},{"author_position":"last","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":false,"raw_author_name":"An-An Liu","raw_affiliation_strings":["School of Electrical and Information Engineering, Tianjin University, Tianjin, 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"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5061046810"],"corresponding_institution_ids":["https://openalex.org/I162868743"],"apc_list":null,"apc_paid":null,"fwci":2.4894,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.88223335,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":"32","issue":"10","first_page":"7147","last_page":"7159"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9952999949455261,"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":0.9952999949455261,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9936000108718872,"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":0.9930999875068665,"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":[{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.8863509893417358},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.7814671397209167},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.7271997332572937},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6589893102645874},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.652224063873291},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5633559226989746},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.5216724872589111},{"id":"https://openalex.org/keywords/discriminator","display_name":"Discriminator","score":0.5055158138275146},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.4969368278980255},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4790433645248413},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4572254717350006},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.4417724907398224},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.31789302825927734}],"concepts":[{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.8863509893417358},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.7814671397209167},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7271997332572937},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6589893102645874},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.652224063873291},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5633559226989746},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.5216724872589111},{"id":"https://openalex.org/C2779803651","wikidata":"https://www.wikidata.org/wiki/Q5282088","display_name":"Discriminator","level":3,"score":0.5055158138275146},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.4969368278980255},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4790433645248413},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4572254717350006},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.4417724907398224},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.31789302825927734},{"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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tcsvt.2022.3168967","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2022.3168967","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":[{"score":0.7400000095367432,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[{"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"},{"id":"https://openalex.org/G3648701118","display_name":null,"funder_award_id":"61902223","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G797288062","display_name":null,"funder_award_id":"61771338","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":77,"referenced_works":["https://openalex.org/W1644641054","https://openalex.org/W1920022804","https://openalex.org/W2078841894","https://openalex.org/W2104094955","https://openalex.org/W2122585444","https://openalex.org/W2132175002","https://openalex.org/W2149466042","https://openalex.org/W2187089797","https://openalex.org/W2194775991","https://openalex.org/W2211722331","https://openalex.org/W2555618208","https://openalex.org/W2560609797","https://openalex.org/W2593768305","https://openalex.org/W2605488490","https://openalex.org/W2616287544","https://openalex.org/W2624503621","https://openalex.org/W2765338284","https://openalex.org/W2770645414","https://openalex.org/W2779039928","https://openalex.org/W2790362762","https://openalex.org/W2808170586","https://openalex.org/W2884771968","https://openalex.org/W2886012241","https://openalex.org/W2896207750","https://openalex.org/W2905173041","https://openalex.org/W2914529374","https://openalex.org/W2919998154","https://openalex.org/W2932414082","https://openalex.org/W2956121407","https://openalex.org/W2962687275","https://openalex.org/W2962793481","https://openalex.org/W2963443993","https://openalex.org/W2963789515","https://openalex.org/W2964002966","https://openalex.org/W2976674591","https://openalex.org/W2976726839","https://openalex.org/W2979509742","https://openalex.org/W2981479076","https://openalex.org/W2981506675","https://openalex.org/W2981747647","https://openalex.org/W2996049010","https://openalex.org/W3014367186","https://openalex.org/W3014622751","https://openalex.org/W3034591020","https://openalex.org/W3034706886","https://openalex.org/W3034738317","https://openalex.org/W3035541121","https://openalex.org/W3040854439","https://openalex.org/W3089400682","https://openalex.org/W3090308608","https://openalex.org/W3093133634","https://openalex.org/W3100294256","https://openalex.org/W3109887297","https://openalex.org/W3173768697","https://openalex.org/W3176053087","https://openalex.org/W3183682375","https://openalex.org/W3189597199","https://openalex.org/W3196335228","https://openalex.org/W3209159014","https://openalex.org/W4210527113","https://openalex.org/W4210923626","https://openalex.org/W4226198565","https://openalex.org/W4233104424","https://openalex.org/W4394671432","https://openalex.org/W6639480849","https://openalex.org/W6684191040","https://openalex.org/W6687484953","https://openalex.org/W6713955831","https://openalex.org/W6725448924","https://openalex.org/W6741832134","https://openalex.org/W6746282794","https://openalex.org/W6748949023","https://openalex.org/W6750109254","https://openalex.org/W6763066025","https://openalex.org/W6776172991","https://openalex.org/W6782167127","https://openalex.org/W6783456391"],"related_works":["https://openalex.org/W3119773509","https://openalex.org/W3208297503","https://openalex.org/W2889153461","https://openalex.org/W2964117661","https://openalex.org/W156213964","https://openalex.org/W2050960118","https://openalex.org/W4388405611","https://openalex.org/W2619127353","https://openalex.org/W2123991572","https://openalex.org/W2786094008"],"abstract_inverted_index":{"Existing":[0],"research":[1],"on":[2,11,151,175,214],"the":[3,18,32,48,69,95,108,113,134,142,152,158,171,190,196],"2D":[4,85,96,123],"image-based":[5,86],"3D":[6,87,99,126],"model":[7,88,127],"retrieval":[8],"task":[9],"focuses":[10],"learning":[12,79],"transferable":[13,57,80],"representations":[14,59,83],"directly":[15,111],"to":[16,26,31,46,64,121,129,138,182],"narrow":[17],"domain":[19,44,135],"discrepancy.":[20],"However,":[21,141],"it":[22],"is":[23,161],"not":[24,146],"easy":[25],"achieve":[27],"in":[28],"practice":[29],"due":[30],"significant":[33],"variations":[34],"across":[35],"two":[36,116,215],"domains.":[37],"In":[38],"addition,":[39],"some":[40],"methods":[41],"design":[42],"a":[43],"discriminator":[45],"distinguish":[47],"feature":[49,58,70,143,159,164,172,197,208],"arising":[50],"from":[51,94],"source":[52],"or":[53],"target":[54],"domains":[55,128],"for":[56,84],"learning,":[60],"which":[61],"will":[62],"lead":[63],"an":[65,130],"unexpected":[66],"deterioration":[67],"of":[68,110,115,212],"discriminability.":[71,149,209],"To":[72],"settle":[73],"these":[74],"problems,":[75],"we":[76,91,118,188],"propose":[77],"jointly":[78],"and":[81,98,125,219],"discriminative":[82,185],"retrieval.":[89],"Specifically,":[90],"extract":[92],"features":[93],"images":[97],"models":[100],"(described":[101],"as":[102],"multiple":[103],"views)":[104],"by":[105,163],"CNN.":[106],"Considering":[107],"difficulty":[109],"narrowing":[112],"discrepancy":[114],"domains,":[117],"are":[119,203],"prone":[120],"connect":[122],"image":[124],"intermediate":[131],"domain,":[132],"where":[133],"gap":[136],"aims":[137],"be":[139],"eliminated.":[140],"transferability":[144,160],"does":[145],"denote":[147],"well":[148],"Based":[150],"batch":[153],"spectral":[154],"penalization":[155],"(BSP)":[156],"theory,":[157],"dominated":[162],"vectors":[165,198],"with":[166,178,199],"higher":[167],"singular":[168,180,192,201],"values,":[169],"while":[170],"discriminability":[173],"depends":[174],"more":[176],"eigenvectors":[177],"lower":[179,200],"values":[181,193,202],"convey":[183],"rich":[184],"structures.":[186],"Therefore,":[187],"penalize":[189],"largest":[191],"so":[194],"that":[195,222],"appropriately":[204],"enhanced,":[205],"thereby":[206],"strengthening":[207],"A":[210],"series":[211],"experiments":[213],"challenging":[216],"datasets,":[217],"MI3DOR":[218],"MI3DOR-2,":[220],"indicate":[221],"our":[223],"method":[224],"can":[225],"significantly":[226],"improve":[227],"performance.":[228]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":2}],"updated_date":"2026-05-22T09:01:20.584952","created_date":"2025-10-10T00:00:00"}