{"id":"https://openalex.org/W4298186173","doi":"https://doi.org/10.48550/arxiv.2209.14860","title":"Bridging the Gap to Real-World Object-Centric Learning","display_name":"Bridging the Gap to Real-World Object-Centric Learning","publication_year":2022,"publication_date":"2022-09-29","ids":{"openalex":"https://openalex.org/W4298186173","doi":"https://doi.org/10.48550/arxiv.2209.14860"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2209.14860","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2209.14860","pdf_url":"https://arxiv.org/pdf/2209.14860","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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":"","raw_type":"text"},"type":"preprint","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2209.14860","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5039512035","display_name":"Maximilian Seitzer","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Seitzer, Maximilian","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085235767","display_name":"Max Horn","orcid":"https://orcid.org/0000-0002-8269-9948"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Horn, Max","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041755332","display_name":"Andrii Zadaianchuk","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zadaianchuk, Andrii","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046584017","display_name":"Dominik Zietlow","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zietlow, Dominik","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020757657","display_name":"Tianjun Xiao","orcid":"https://orcid.org/0000-0003-4705-1545"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xiao, Tianjun","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006816675","display_name":"Carl-Johann Simon-Gabriel","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Simon-Gabriel, Carl-Johann","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100604494","display_name":"Tong He","orcid":"https://orcid.org/0000-0003-2772-9320"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"He, Tong","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100459168","display_name":"Zheng Zhang","orcid":"https://orcid.org/0000-0003-1470-6998"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang, Zheng","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044005697","display_name":"Bernhard Sch\u00f6lkopf","orcid":"https://orcid.org/0000-0002-8177-0925"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sch\u00f6lkopf, Bernhard","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070290355","display_name":"Thomas Brox","orcid":"https://orcid.org/0000-0002-6282-8861"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Brox, Thomas","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5073157306","display_name":"Francesco Locatello","orcid":"https://orcid.org/0000-0002-4850-0683"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Locatello, Francesco","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":31,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9919000267982483,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9919000267982483,"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/T11714","display_name":"Multimodal Machine Learning Applications","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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9878000020980835,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/pascal","display_name":"Pascal (unit)","score":0.8700485825538635},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7853479385375977},{"id":"https://openalex.org/keywords/unsupervised-learning","display_name":"Unsupervised learning","score":0.6659474968910217},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6585414409637451},{"id":"https://openalex.org/keywords/bridging","display_name":"Bridging (networking)","score":0.618887722492218},{"id":"https://openalex.org/keywords/abstraction","display_name":"Abstraction","score":0.5713090896606445},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5416709184646606},{"id":"https://openalex.org/keywords/cognitive-neuroscience-of-visual-object-recognition","display_name":"Cognitive neuroscience of visual object recognition","score":0.4773566722869873},{"id":"https://openalex.org/keywords/real-world-data","display_name":"Real world data","score":0.4534268081188202},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.4458073079586029},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.4353746771812439},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.4122200310230255},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.2849648892879486},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.1279652714729309}],"concepts":[{"id":"https://openalex.org/C75608658","wikidata":"https://www.wikidata.org/wiki/Q44395","display_name":"Pascal (unit)","level":2,"score":0.8700485825538635},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7853479385375977},{"id":"https://openalex.org/C8038995","wikidata":"https://www.wikidata.org/wiki/Q1152135","display_name":"Unsupervised learning","level":2,"score":0.6659474968910217},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6585414409637451},{"id":"https://openalex.org/C174348530","wikidata":"https://www.wikidata.org/wiki/Q188635","display_name":"Bridging (networking)","level":2,"score":0.618887722492218},{"id":"https://openalex.org/C124304363","wikidata":"https://www.wikidata.org/wiki/Q673661","display_name":"Abstraction","level":2,"score":0.5713090896606445},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5416709184646606},{"id":"https://openalex.org/C64876066","wikidata":"https://www.wikidata.org/wiki/Q5141226","display_name":"Cognitive neuroscience of visual object recognition","level":3,"score":0.4773566722869873},{"id":"https://openalex.org/C3020493868","wikidata":"https://www.wikidata.org/wiki/Q55631277","display_name":"Real world data","level":2,"score":0.4534268081188202},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.4458073079586029},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.4353746771812439},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.4122200310230255},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.2849648892879486},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.1279652714729309},{"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/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","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/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:2209.14860","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2209.14860","pdf_url":"https://arxiv.org/pdf/2209.14860","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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":"","raw_type":"text"},{"id":"doi:10.48550/arxiv.2209.14860","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2209.14860","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2209.14860","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2209.14860","pdf_url":"https://arxiv.org/pdf/2209.14860","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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":"","raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W1663079876","https://openalex.org/W2069133146","https://openalex.org/W2017545316","https://openalex.org/W2100576949","https://openalex.org/W2159686533","https://openalex.org/W4242339654","https://openalex.org/W2349160795","https://openalex.org/W2135595438","https://openalex.org/W2993291555","https://openalex.org/W2809456908"],"abstract_inverted_index":{"Humans":[0],"naturally":[1],"decompose":[2],"their":[3],"environment":[4],"into":[5],"entities":[6],"at":[7],"the":[8,16,50,111,141],"appropriate":[9],"level":[10],"of":[11,35,52],"abstraction":[12],"to":[13,22,42,58,89,118,136],"act":[14],"in":[15,26,49,56,77,91],"world.":[17],"Allowing":[18],"machine":[19],"learning":[20,104],"algorithms":[21],"derive":[23],"this":[24,63,67],"decomposition":[25],"an":[27,32],"unsupervised":[28,94,113],"way":[29],"has":[30],"become":[31],"important":[33],"line":[34],"research.":[36],"However,":[37],"current":[38],"methods":[39],"are":[40],"restricted":[41],"simulated":[43,107],"data":[44,108],"or":[45,54],"require":[46],"additional":[47],"information":[48],"form":[51],"motion":[53],"depth":[55],"order":[57],"successfully":[59],"discover":[60],"objects.":[61],"In":[62],"work,":[64],"we":[65],"overcome":[66],"limitation":[68],"by":[69],"showing":[70],"that":[71,116],"reconstructing":[72],"features":[73],"from":[74,140],"models":[75,105],"trained":[76],"a":[78,82,92],"self-supervised":[79],"manner":[80],"is":[81,110,128],"sufficient":[83],"training":[84],"signal":[85],"for":[86],"object-centric":[87,103,114],"representations":[88],"arise":[90],"fully":[93],"way.":[95],"Our":[96],"approach,":[97],"DINOSAUR,":[98],"significantly":[99],"out-performs":[100],"existing":[101],"image-based":[102],"on":[106],"and":[109,124,131],"first":[112],"model":[115],"scales":[117],"real-world":[119],"datasets":[120],"such":[121],"as":[122],"COCO":[123],"PASCAL":[125],"VOC.":[126],"DINOSAUR":[127],"conceptually":[129],"simple":[130],"shows":[132],"competitive":[133],"performance":[134],"compared":[135],"more":[137],"involved":[138],"pipelines":[139],"computer":[142],"vision":[143],"literature.":[144]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":15},{"year":2023,"cited_by_count":12},{"year":2022,"cited_by_count":1}],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2025-10-10T00:00:00"}