{"id":"https://openalex.org/W2963731667","doi":"https://doi.org/10.1609/aaai.v33i01.33018682","title":"Angular Triplet-Center Loss for Multi-View 3D Shape Retrieval","display_name":"Angular Triplet-Center Loss for Multi-View 3D Shape Retrieval","publication_year":2019,"publication_date":"2019-07-17","ids":{"openalex":"https://openalex.org/W2963731667","doi":"https://doi.org/10.1609/aaai.v33i01.33018682","mag":"2963731667"},"language":"en","primary_location":{"id":"doi:10.1609/aaai.v33i01.33018682","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v33i01.33018682","pdf_url":"https://ojs.aaai.org/index.php/AAAI/article/download/4890/4763","source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://ojs.aaai.org/index.php/AAAI/article/download/4890/4763","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5011805208","display_name":"Zhaoqun Li","orcid":"https://orcid.org/0000-0003-3803-8314"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhaoqun Li","raw_affiliation_strings":["Beihang University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beihang University","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112876305","display_name":"Cheng Xu","orcid":null},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Cheng Xu","raw_affiliation_strings":["Beihang University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beihang University","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5074480499","display_name":"Biao Leng","orcid":"https://orcid.org/0000-0003-3588-5622"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Biao Leng","raw_affiliation_strings":["Beihang University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beihang University","institution_ids":["https://openalex.org/I82880672"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I82880672"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":61,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"33","issue":"01","first_page":"8682","last_page":"8689"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9908000230789185,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9908000230789185,"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/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9836999773979187,"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/T14339","display_name":"Image Processing and 3D Reconstruction","score":0.9706000089645386,"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":0.7505670189857483},{"id":"https://openalex.org/keywords/shape-analysis","display_name":"Shape analysis (program analysis)","score":0.6443861722946167},{"id":"https://openalex.org/keywords/active-shape-model","display_name":"Active shape model","score":0.6050752401351929},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5851300954818726},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5740610957145691},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5647851824760437},{"id":"https://openalex.org/keywords/softmax-function","display_name":"Softmax function","score":0.5570557117462158},{"id":"https://openalex.org/keywords/margin","display_name":"Margin (machine learning)","score":0.525473952293396},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.5223613977432251},{"id":"https://openalex.org/keywords/heat-kernel-signature","display_name":"Heat kernel signature","score":0.4719592332839966},{"id":"https://openalex.org/keywords/trigonometric-functions","display_name":"Trigonometric functions","score":0.4357418417930603},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.42924758791923523},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.4197540879249573},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.37751153111457825},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.22348248958587646},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.1468084454536438},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.08287063241004944},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.06923478841781616}],"concepts":[{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.7505670189857483},{"id":"https://openalex.org/C112604564","wikidata":"https://www.wikidata.org/wiki/Q7489226","display_name":"Shape analysis (program analysis)","level":3,"score":0.6443861722946167},{"id":"https://openalex.org/C129641003","wikidata":"https://www.wikidata.org/wiki/Q267189","display_name":"Active shape model","level":3,"score":0.6050752401351929},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5851300954818726},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5740610957145691},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5647851824760437},{"id":"https://openalex.org/C188441871","wikidata":"https://www.wikidata.org/wiki/Q7554146","display_name":"Softmax function","level":3,"score":0.5570557117462158},{"id":"https://openalex.org/C774472","wikidata":"https://www.wikidata.org/wiki/Q6760393","display_name":"Margin (machine learning)","level":2,"score":0.525473952293396},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.5223613977432251},{"id":"https://openalex.org/C45089102","wikidata":"https://www.wikidata.org/wiki/Q5693286","display_name":"Heat kernel signature","level":4,"score":0.4719592332839966},{"id":"https://openalex.org/C178009071","wikidata":"https://www.wikidata.org/wiki/Q93344","display_name":"Trigonometric functions","level":2,"score":0.4357418417930603},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.42924758791923523},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.4197540879249573},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.37751153111457825},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.22348248958587646},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.1468084454536438},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.08287063241004944},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.06923478841781616},{"id":"https://openalex.org/C97686452","wikidata":"https://www.wikidata.org/wiki/Q7604153","display_name":"Static analysis","level":2,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1609/aaai.v33i01.33018682","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v33i01.33018682","pdf_url":"https://ojs.aaai.org/index.php/AAAI/article/download/4890/4763","source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},{"id":"pmh:oai:ojs.aaai.org:article/4890","is_oa":false,"landing_page_url":"https://ojs.aaai.org/index.php/AAAI/article/view/4890","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"2159-5399","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"doi:10.1609/aaai.v33i01.33018682","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v33i01.33018682","pdf_url":"https://ojs.aaai.org/index.php/AAAI/article/download/4890/4763","source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.7699999809265137,"display_name":"Reduced inequalities"}],"awards":[{"id":"https://openalex.org/G6656443689","display_name":null,"funder_award_id":"61472023","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":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2963731667.pdf","grobid_xml":"https://content.openalex.org/works/W2963731667.grobid-xml"},"referenced_works_count":41,"referenced_works":["https://openalex.org/W1139309024","https://openalex.org/W1629010235","https://openalex.org/W1644641054","https://openalex.org/W1920022804","https://openalex.org/W2108598243","https://openalex.org/W2339077268","https://openalex.org/W2342223463","https://openalex.org/W2394951287","https://openalex.org/W2404723690","https://openalex.org/W2502206489","https://openalex.org/W2520774990","https://openalex.org/W2560609797","https://openalex.org/W2606987267","https://openalex.org/W2624503621","https://openalex.org/W2737234477","https://openalex.org/W2753872511","https://openalex.org/W2788292300","https://openalex.org/W2796040722","https://openalex.org/W2799162093","https://openalex.org/W2808242586","https://openalex.org/W2812373594","https://openalex.org/W2887331950","https://openalex.org/W2950642167","https://openalex.org/W2962731536","https://openalex.org/W2962928871","https://openalex.org/W2963053547","https://openalex.org/W2963121255","https://openalex.org/W2963173190","https://openalex.org/W2963744743","https://openalex.org/W2963811180","https://openalex.org/W3099206234","https://openalex.org/W3103152812","https://openalex.org/W3163282598","https://openalex.org/W4297741728","https://openalex.org/W4394671432","https://openalex.org/W6640300118","https://openalex.org/W6676297131","https://openalex.org/W6704683583","https://openalex.org/W6712520605","https://openalex.org/W6761843422","https://openalex.org/W6910779650"],"related_works":["https://openalex.org/W2212089300","https://openalex.org/W2113610384","https://openalex.org/W2002305436","https://openalex.org/W3175832648","https://openalex.org/W2171392623","https://openalex.org/W2736624805","https://openalex.org/W13786964","https://openalex.org/W2046777610","https://openalex.org/W2164307460","https://openalex.org/W2982976900"],"abstract_inverted_index":{"How":[0],"to":[1,134,171,188,195],"obtain":[2],"the":[3,44,48,70,73,84,122,126,130,160,165,183,190,220],"desirable":[4],"representation":[5,39],"of":[6,76,94,102,222],"a":[7,20,111],"3D":[8,24,29,58,95,150,179,211,235],"shape,":[9],"which":[10,119],"is":[11,19,55,157,163,168,186],"discriminative":[12,37,199],"across":[13,90],"categories":[14],"and":[15,87,139,159,175,216,226],"polymerized":[16],"within":[17,83],"classes,":[18],"significant":[21],"challenge":[22],"in":[23,149,193],"shape":[25,30,38,49,59,77,96,103,107,151,180,236],"retrieval.":[26,60,181],"Most":[27],"existing":[28],"retrieval":[31,97,152,213],"methods":[32],"focus":[33],"on":[34,69,201,208,233],"capturing":[35],"strong":[36],"with":[40,52],"softmax":[41],"loss":[42,54,114,132,147],"for":[43,57,105,178],"classification":[45],"task,":[46],"while":[47],"feature":[50,173],"learning":[51],"metric":[53,113,146],"neglected":[56],"In":[61],"this":[62,66],"paper,":[63],"we":[64,109],"address":[65],"problem":[67],"based":[68],"intuition":[71],"that":[72],"cosine":[74,100,123,191],"distance":[75,101,138,142,156],"embeddings":[78,174],"should":[79],"be":[80],"close":[81],"enough":[82],"same":[85],"class":[86],"far":[88],"away":[89],"categories.":[91],"Since":[92],"most":[93],"tasks":[98],"use":[99],"features":[104],"measuring":[106],"similarity,":[108],"propose":[110],"novel":[112],"named":[115],"angular":[116],"triplet-center":[117,131],"loss,":[118,225],"directly":[120],"optimizes":[121],"distances":[124],"between":[125],"features.":[127],"It":[128],"inherits":[129],"property":[133],"achieve":[135],"larger":[136],"inter-class":[137],"smaller":[140],"intra-class":[141],"simultaneously.":[143],"Unlike":[144],"previous":[145],"utilized":[148],"methods,":[153],"where":[154],"Euclidean":[155],"adopted":[158,187],"margin":[161,185,192],"design":[162],"difficult,":[164],"proposed":[166,224],"method":[167,228],"more":[169,176,197],"convenient":[170],"train":[172],"suitable":[177],"Moreover,":[182],"angle":[184],"replace":[189],"order":[194],"provide":[196],"explicit":[198],"constraints":[200],"an":[202],"embedding":[203],"space.":[204],"Extensive":[205],"experimental":[206],"results":[207,232],"two":[209],"popular":[210],"object":[212],"benchmarks,":[214],"ModelNet40":[215],"ShapeNetCore":[217],"55,":[218],"demonstrate":[219],"effectiveness":[221],"our":[223,227],"has":[229],"achieved":[230],"state-ofthe-art":[231],"various":[234],"datasets.":[237]},"counts_by_year":[{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":8},{"year":2022,"cited_by_count":9},{"year":2021,"cited_by_count":13},{"year":2020,"cited_by_count":14},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
