{"id":"https://openalex.org/W4393182987","doi":"https://doi.org/10.1007/s11263-024-02043-5","title":"Hyperbolic Deep Learning in Computer Vision: A Survey","display_name":"Hyperbolic Deep Learning in Computer Vision: A Survey","publication_year":2024,"publication_date":"2024-03-26","ids":{"openalex":"https://openalex.org/W4393182987","doi":"https://doi.org/10.1007/s11263-024-02043-5"},"language":"en","primary_location":{"id":"doi:10.1007/s11263-024-02043-5","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11263-024-02043-5","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11263-024-02043-5.pdf","source":{"id":"https://openalex.org/S25538012","display_name":"International Journal of Computer Vision","issn_l":"0920-5691","issn":["0920-5691","1573-1405"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Computer Vision","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s11263-024-02043-5.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5000845063","display_name":"Pascal Mettes","orcid":"https://orcid.org/0000-0001-9275-5942"},"institutions":[{"id":"https://openalex.org/I887064364","display_name":"University of Amsterdam","ror":"https://ror.org/04dkp9463","country_code":"NL","type":"education","lineage":["https://openalex.org/I887064364"]}],"countries":["NL"],"is_corresponding":true,"raw_author_name":"Pascal Mettes","raw_affiliation_strings":["University of Amsterdam, Amsterdam, The Netherlands"],"raw_orcid":"https://orcid.org/0000-0001-9275-5942","affiliations":[{"raw_affiliation_string":"University of Amsterdam, Amsterdam, The Netherlands","institution_ids":["https://openalex.org/I887064364"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033280702","display_name":"Mina Ghadimi Atigh","orcid":null},"institutions":[{"id":"https://openalex.org/I887064364","display_name":"University of Amsterdam","ror":"https://ror.org/04dkp9463","country_code":"NL","type":"education","lineage":["https://openalex.org/I887064364"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Mina Ghadimi Atigh","raw_affiliation_strings":["University of Amsterdam, Amsterdam, The Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Amsterdam, Amsterdam, The Netherlands","institution_ids":["https://openalex.org/I887064364"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058487219","display_name":"Martin Keller\u2010Ressel","orcid":"https://orcid.org/0000-0003-0913-3363"},"institutions":[{"id":"https://openalex.org/I78650965","display_name":"Technische Universit\u00e4t Dresden","ror":"https://ror.org/042aqky30","country_code":"DE","type":"education","lineage":["https://openalex.org/I78650965"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Martin Keller-Ressel","raw_affiliation_strings":["TU Dresden, Dresden, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"TU Dresden, Dresden, Germany","institution_ids":["https://openalex.org/I78650965"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112706410","display_name":"Jeffrey Gu","orcid":null},"institutions":[{"id":"https://openalex.org/I97018004","display_name":"Stanford University","ror":"https://ror.org/00f54p054","country_code":"US","type":"education","lineage":["https://openalex.org/I97018004"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jeffrey Gu","raw_affiliation_strings":["Stanford University, Stanford, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Stanford University, Stanford, CA, USA","institution_ids":["https://openalex.org/I97018004"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5081511803","display_name":"Serena Yeung","orcid":"https://orcid.org/0000-0003-0529-0628"},"institutions":[{"id":"https://openalex.org/I97018004","display_name":"Stanford University","ror":"https://ror.org/00f54p054","country_code":"US","type":"education","lineage":["https://openalex.org/I97018004"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Serena Yeung","raw_affiliation_strings":["Stanford University, Stanford, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Stanford University, Stanford, CA, USA","institution_ids":["https://openalex.org/I97018004"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5000845063"],"corresponding_institution_ids":["https://openalex.org/I887064364"],"apc_list":{"value":2890,"currency":"EUR","value_usd":3690},"apc_paid":{"value":2890,"currency":"EUR","value_usd":3690},"fwci":10.8912,"has_fulltext":true,"cited_by_count":51,"citation_normalized_percentile":{"value":0.99018498,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":"132","issue":"9","first_page":"3484","last_page":"3508"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9998000264167786,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9998000264167786,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9980000257492065,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9962999820709229,"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":0.7001277208328247},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5448290705680847},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5253471732139587},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.512309193611145},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.511340320110321}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7001277208328247},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5448290705680847},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5253471732139587},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.512309193611145},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.511340320110321}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1007/s11263-024-02043-5","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11263-024-02043-5","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11263-024-02043-5.pdf","source":{"id":"https://openalex.org/S25538012","display_name":"International Journal of Computer Vision","issn_l":"0920-5691","issn":["0920-5691","1573-1405"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Computer Vision","raw_type":"journal-article"},{"id":"pmh:oai:dare.uva.nl:openaire_cris_publications/4e1568b1-502d-481f-b17d-7515a57c5d0e","is_oa":true,"landing_page_url":"https://handle.uba.uva.nl/personal/pure/en/publications/hyperbolic-deep-learning-in-computer-vision(4e1568b1-502d-481f-b17d-7515a57c5d0e).html","pdf_url":null,"source":{"id":"https://openalex.org/S4306400088","display_name":"UvA-DARE (University of Amsterdam)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I887064364","host_organization_name":"University of Amsterdam","host_organization_lineage":["https://openalex.org/I887064364"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Mettes, P, Ghadimi Atigh, M, Keller-Ressel, M, Gu, J & Yeung, S 2024, 'Hyperbolic Deep Learning in Computer Vision : A Survey', International Journal of Computer Vision, vol. 132, no. 9, pp. 3484-3508. https://doi.org/10.1007/s11263-024-02043-5","raw_type":"info:eu-repo/semantics/publishedVersion"},{"id":"pmh:oai:dare.uva.nl:openaire/4e1568b1-502d-481f-b17d-7515a57c5d0e","is_oa":true,"landing_page_url":"https://hdl.handle.net/11245.1/4e1568b1-502d-481f-b17d-7515a57c5d0e","pdf_url":null,"source":{"id":"https://openalex.org/S4306400088","display_name":"UvA-DARE (University of Amsterdam)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I887064364","host_organization_name":"University of Amsterdam","host_organization_lineage":["https://openalex.org/I887064364"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Mettes, P, Ghadimi Atigh, M, Keller-Ressel, M, Gu, J & Yeung, S 2024, 'Hyperbolic Deep Learning in Computer Vision : A Survey', International Journal of Computer Vision, vol. 132, no. 9, pp. 3484-3508. https://doi.org/10.1007/s11263-024-02043-5","raw_type":"info:eu-repo/semantics/publishedVersion"}],"best_oa_location":{"id":"doi:10.1007/s11263-024-02043-5","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11263-024-02043-5","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11263-024-02043-5.pdf","source":{"id":"https://openalex.org/S25538012","display_name":"International Journal of Computer Vision","issn_l":"0920-5691","issn":["0920-5691","1573-1405"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Computer Vision","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Quality Education","score":0.7099999785423279,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4393182987.pdf"},"referenced_works_count":145,"referenced_works":["https://openalex.org/W639834748","https://openalex.org/W1579035156","https://openalex.org/W1618514862","https://openalex.org/W1641498739","https://openalex.org/W1909320841","https://openalex.org/W2042662336","https://openalex.org/W2118686428","https://openalex.org/W2134086356","https://openalex.org/W2199357291","https://openalex.org/W2400540722","https://openalex.org/W2559091987","https://openalex.org/W2618798060","https://openalex.org/W2739748921","https://openalex.org/W2751069891","https://openalex.org/W2796314760","https://openalex.org/W2797520557","https://openalex.org/W2804622816","https://openalex.org/W2804935370","https://openalex.org/W2919115771","https://openalex.org/W2944617599","https://openalex.org/W2948646817","https://openalex.org/W2948672349","https://openalex.org/W2953915517","https://openalex.org/W2955067198","https://openalex.org/W2962770929","https://openalex.org/W2962892594","https://openalex.org/W2962949934","https://openalex.org/W2963737091","https://openalex.org/W2963841265","https://openalex.org/W2963981733","https://openalex.org/W2970326421","https://openalex.org/W2984640634","https://openalex.org/W2990138404","https://openalex.org/W2990942688","https://openalex.org/W2998128907","https://openalex.org/W3005680577","https://openalex.org/W3021747094","https://openalex.org/W3034694537","https://openalex.org/W3034929136","https://openalex.org/W3035102141","https://openalex.org/W3035134435","https://openalex.org/W3035524453","https://openalex.org/W3035574324","https://openalex.org/W3035700349","https://openalex.org/W3038054432","https://openalex.org/W3049759836","https://openalex.org/W3090602628","https://openalex.org/W3094502228","https://openalex.org/W3095099350","https://openalex.org/W3096163555","https://openalex.org/W3096831136","https://openalex.org/W3098934552","https://openalex.org/W3100458477","https://openalex.org/W3101011071","https://openalex.org/W3106653142","https://openalex.org/W3135367836","https://openalex.org/W3153106544","https://openalex.org/W3154492312","https://openalex.org/W3159481202","https://openalex.org/W3163629447","https://openalex.org/W3164410012","https://openalex.org/W3167945386","https://openalex.org/W3171266048","https://openalex.org/W3171364227","https://openalex.org/W3172752666","https://openalex.org/W3173635498","https://openalex.org/W3173655578","https://openalex.org/W3174823655","https://openalex.org/W3176793698","https://openalex.org/W3176913662","https://openalex.org/W3177377177","https://openalex.org/W3177829265","https://openalex.org/W3181274577","https://openalex.org/W3204802193","https://openalex.org/W3209692422","https://openalex.org/W3210549871","https://openalex.org/W3211144631","https://openalex.org/W3216885100","https://openalex.org/W3217321712","https://openalex.org/W4200629525","https://openalex.org/W4205175531","https://openalex.org/W4206706211","https://openalex.org/W4214764301","https://openalex.org/W4220782233","https://openalex.org/W4221151129","https://openalex.org/W4224295683","https://openalex.org/W4226044115","https://openalex.org/W4281556647","https://openalex.org/W4283205862","https://openalex.org/W4283645167","https://openalex.org/W4283812379","https://openalex.org/W4292166790","https://openalex.org/W4295916008","https://openalex.org/W4296899566","https://openalex.org/W4308015688","https://openalex.org/W4312286025","https://openalex.org/W4312492074","https://openalex.org/W4312533318","https://openalex.org/W4312891522","https://openalex.org/W4313127305","https://openalex.org/W4313312395","https://openalex.org/W4319299944","https://openalex.org/W4319459201","https://openalex.org/W4320718960","https://openalex.org/W4324302636","https://openalex.org/W4327524109","https://openalex.org/W4380551115","https://openalex.org/W4385804753","https://openalex.org/W4385804920","https://openalex.org/W4386076191","https://openalex.org/W4386076409","https://openalex.org/W4386076540","https://openalex.org/W4386083107","https://openalex.org/W4386558448","https://openalex.org/W4388240477","https://openalex.org/W4388766813","https://openalex.org/W4389100667","https://openalex.org/W4390190599","https://openalex.org/W4390871918","https://openalex.org/W4390871950","https://openalex.org/W4390872141","https://openalex.org/W4390872378","https://openalex.org/W4390872537","https://openalex.org/W4390872578","https://openalex.org/W4390873664","https://openalex.org/W4393158977","https://openalex.org/W4394625691","https://openalex.org/W4402771876","https://openalex.org/W6718379498","https://openalex.org/W6735236233","https://openalex.org/W6735913928","https://openalex.org/W6751693566","https://openalex.org/W6751732583","https://openalex.org/W6752141533","https://openalex.org/W6755383511","https://openalex.org/W6759395528","https://openalex.org/W6762819970","https://openalex.org/W6766952790","https://openalex.org/W6767121309","https://openalex.org/W6773638259","https://openalex.org/W6776700526","https://openalex.org/W6779429662","https://openalex.org/W6779630795","https://openalex.org/W6814114727","https://openalex.org/W6854084194"],"related_works":["https://openalex.org/W2731899572","https://openalex.org/W3215138031","https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2772917594","https://openalex.org/W2775347418","https://openalex.org/W2166024367","https://openalex.org/W3009238340","https://openalex.org/W3116076068","https://openalex.org/W2229312674"],"abstract_inverted_index":{"Abstract":[0],"Deep":[1],"representation":[2],"learning":[3,23,34,40,78,102,121],"is":[4,103],"a":[5,43,68,128],"ubiquitous":[6],"part":[7],"of":[8,73],"modern":[9],"computer":[10,36,80,123],"vision.":[11,37,81,124],"While":[12],"Euclidean":[13],"space":[14,27],"has":[15,28,41],"been":[16],"the":[17,110],"de":[18],"facto":[19],"standard":[20],"manifold":[21],"for":[22,33,79,122],"visual":[24],"representations,":[25],"hyperbolic":[26,39,77,101,120,132],"recently":[29],"gained":[30],"rapid":[31],"traction":[32],"in":[35,95,105,119,143],"Specifically,":[38],"shown":[42],"strong":[44],"potential":[45],"to":[46,139],"embed":[47],"hierarchical":[48],"structures,":[49],"learn":[50],"from":[51,116],"limited":[52],"samples,":[53],"quantify":[54],"uncertainty,":[55],"add":[56],"robustness,":[57],"limit":[58],"error":[59],"severity,":[60],"and":[61,70,86,89,108,134],"more.":[62],"In":[63],"this":[64,144],"paper,":[65],"we":[66,126],"provide":[67,127],"categorization":[69],"in-depth":[71],"overview":[72],"current":[74,117],"literature":[75,88],"on":[76],"We":[82,98],"research":[83,93,112,137,142],"both":[84],"supervised":[85],"unsupervised":[87],"identify":[90],"three":[91],"main":[92,111],"themes":[94,107],"each":[96],"direction.":[97,145],"outline":[99,135],"how":[100],"performed":[104],"all":[106],"discuss":[109],"problems":[113],"that":[114],"benefit":[115],"advances":[118],"Moreover,":[125],"high-level":[129],"intuition":[130],"behind":[131],"geometry":[133],"open":[136],"questions":[138],"further":[140],"advance":[141]},"counts_by_year":[{"year":2026,"cited_by_count":8},{"year":2025,"cited_by_count":33},{"year":2024,"cited_by_count":9},{"year":2023,"cited_by_count":1}],"updated_date":"2026-06-13T06:13:01.061226","created_date":"2025-10-10T00:00:00"}