{"id":"https://openalex.org/W4376864533","doi":"https://doi.org/10.48550/arxiv.2305.05665","title":"ImageBind: One Embedding Space To Bind Them All","display_name":"ImageBind: One Embedding Space To Bind Them All","publication_year":2023,"publication_date":"2023-05-09","ids":{"openalex":"https://openalex.org/W4376864533","doi":"https://doi.org/10.48550/arxiv.2305.05665"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2305.05665","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2305.05665","pdf_url":"https://arxiv.org/pdf/2305.05665","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":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":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"type":"preprint","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2305.05665","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5006312307","display_name":"Rohit Girdhar","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Girdhar, Rohit","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083505661","display_name":"Alaaeldin El-Nouby","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"El-Nouby, Alaaeldin","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100452089","display_name":"Zhuang Liu","orcid":"https://orcid.org/0000-0001-6395-0212"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liu, Zhuang","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060023106","display_name":"Mannat Singh","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Singh, Mannat","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078659702","display_name":"Kalyan Vasudev Alwala","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Alwala, Kalyan Vasudev","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5107859338","display_name":"Armand Joulin","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Joulin, Armand","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5000623592","display_name":"Ishan Misra","orcid":"https://orcid.org/0000-0001-7708-7261"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Misra, Ishan","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5006312307"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":13,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9991000294685364,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9991000294685364,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9969000220298767,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9847000241279602,"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/modalities","display_name":"Modalities","score":0.8075751066207886},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.7735108733177185},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.7192209362983704},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7181882858276367},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5884783267974854},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.5435140132904053},{"id":"https://openalex.org/keywords/modal","display_name":"Modal","score":0.5120168328285217},{"id":"https://openalex.org/keywords/ground-truth","display_name":"Ground truth","score":0.43556997179985046},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.40571659803390503},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.35487592220306396},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3205067813396454}],"concepts":[{"id":"https://openalex.org/C2779903281","wikidata":"https://www.wikidata.org/wiki/Q6888026","display_name":"Modalities","level":2,"score":0.8075751066207886},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.7735108733177185},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.7192209362983704},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7181882858276367},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5884783267974854},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.5435140132904053},{"id":"https://openalex.org/C71139939","wikidata":"https://www.wikidata.org/wiki/Q910194","display_name":"Modal","level":2,"score":0.5120168328285217},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.43556997179985046},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.40571659803390503},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.35487592220306396},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3205067813396454},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"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/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0},{"id":"https://openalex.org/C188027245","wikidata":"https://www.wikidata.org/wiki/Q750446","display_name":"Polymer chemistry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:2305.05665","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2305.05665","pdf_url":"https://arxiv.org/pdf/2305.05665","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":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":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"doi:10.48550/arxiv.2305.05665","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2305.05665","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_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2305.05665","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2305.05665","pdf_url":"https://arxiv.org/pdf/2305.05665","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":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":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[{"display_name":"Quality Education","score":0.5199999809265137,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4376864533.pdf","grobid_xml":"https://content.openalex.org/works/W4376864533.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2185469136","https://openalex.org/W2081900870","https://openalex.org/W2011264131","https://openalex.org/W4306353150","https://openalex.org/W2026860389","https://openalex.org/W4295532600","https://openalex.org/W2063823869","https://openalex.org/W2047973478","https://openalex.org/W4301143707","https://openalex.org/W2952745240"],"abstract_inverted_index":{"We":[0,23],"present":[1],"ImageBind,":[2],"an":[3],"approach":[4],"to":[5,34,46,64,138],"learn":[6],"a":[7,37,106,135],"joint":[8,38],"embedding":[9],"across":[10,114],"six":[11],"different":[12],"modalities":[13,49,66,85],"-":[14],"images,":[15],"text,":[16],"audio,":[17],"depth,":[18],"thermal,":[19],"and":[20,40,59,90,103,130,144],"IMU":[21],"data.":[22],"show":[24,122],"that":[25,131],"all":[26],"combinations":[27],"of":[28,99],"paired":[29],"data":[30,43],"are":[31],"not":[32],"necessary":[33],"train":[35],"such":[36],"embedding,":[39],"only":[41],"image-paired":[42],"is":[44],"sufficient":[45],"bind":[47],"the":[48,97,100],"together.":[50],"ImageBind":[51,132],"can":[52],"leverage":[53],"recent":[54],"large":[55],"scale":[56],"vision-language":[57],"models,":[58],"extends":[60],"their":[61,70],"zero-shot":[62,111],"capabilities":[63,94],"new":[65,107,136],"just":[67],"by":[68],"using":[69],"natural":[71],"pairing":[72],"with":[73,86,96],"images.":[74],"It":[75],"enables":[76],"novel":[77],"emergent":[78,93,110],"applications":[79],"'out-of-the-box'":[80],"including":[81],"cross-modal":[82,88],"retrieval,":[83],"composing":[84],"arithmetic,":[87],"detection":[89],"generation.":[91],"The":[92],"improve":[95],"strength":[98],"image":[101],"encoder":[102],"we":[104,121],"set":[105],"state-of-the-art":[108],"on":[109],"recognition":[112,125],"tasks":[113],"modalities,":[115],"outperforming":[116,127],"specialist":[117],"supervised":[118],"models.":[119],"Finally,":[120],"strong":[123],"few-shot":[124],"results":[126],"prior":[128],"work,":[129],"serves":[133],"as":[134],"way":[137],"evaluate":[139],"vision":[140],"models":[141],"for":[142],"visual":[143],"non-visual":[145],"tasks.":[146]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":4}],"updated_date":"2026-03-10T16:38:18.471706","created_date":"2025-10-10T00:00:00"}
