{"id":"https://openalex.org/W2017814585","doi":"https://doi.org/10.1109/cvpr.2010.5539970","title":"SUN database: Large-scale scene recognition from abbey to zoo","display_name":"SUN database: Large-scale scene recognition from abbey to zoo","publication_year":2010,"publication_date":"2010-06-01","ids":{"openalex":"https://openalex.org/W2017814585","doi":"https://doi.org/10.1109/cvpr.2010.5539970","mag":"2017814585"},"language":"en","primary_location":{"id":"doi:10.1109/cvpr.2010.5539970","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2010.5539970","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://hdl.handle.net/1721.1/60690","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5040082544","display_name":"Jianxiong Xiao","orcid":"https://orcid.org/0000-0001-9605-0341"},"institutions":[{"id":"https://openalex.org/I63966007","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44","country_code":"US","type":"education","lineage":["https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jianxiong Xiao","raw_affiliation_strings":["Massachusetts Institute of Technology, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Massachusetts Institute of Technology, USA","institution_ids":["https://openalex.org/I63966007"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016775802","display_name":"James Hays","orcid":"https://orcid.org/0000-0001-7016-4252"},"institutions":[{"id":"https://openalex.org/I175594653","display_name":"John Brown University","ror":"https://ror.org/02ct41q97","country_code":"US","type":"education","lineage":["https://openalex.org/I175594653"]},{"id":"https://openalex.org/I63966007","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44","country_code":"US","type":"education","lineage":["https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"James Hays","raw_affiliation_strings":["Brown University, USA","Massachusetts Institute of Technology, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Brown University, USA","institution_ids":["https://openalex.org/I175594653"]},{"raw_affiliation_string":"Massachusetts Institute of Technology, USA","institution_ids":["https://openalex.org/I63966007"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084653483","display_name":"Krista A. Ehinger","orcid":"https://orcid.org/0000-0003-2247-3020"},"institutions":[{"id":"https://openalex.org/I63966007","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44","country_code":"US","type":"education","lineage":["https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Krista A. Ehinger","raw_affiliation_strings":["Massachusetts Institute of Technology, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Massachusetts Institute of Technology, USA","institution_ids":["https://openalex.org/I63966007"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021257546","display_name":"Aude Oliva","orcid":"https://orcid.org/0000-0002-6920-914X"},"institutions":[{"id":"https://openalex.org/I63966007","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44","country_code":"US","type":"education","lineage":["https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Aude Oliva","raw_affiliation_strings":["Massachusetts Institute of Technology, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Massachusetts Institute of Technology, USA","institution_ids":["https://openalex.org/I63966007"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085020955","display_name":"Antonio Torralba","orcid":"https://orcid.org/0000-0003-4915-0256"},"institutions":[{"id":"https://openalex.org/I63966007","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44","country_code":"US","type":"education","lineage":["https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Antonio Torralba","raw_affiliation_strings":["Massachusetts Institute of Technology, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Massachusetts Institute of Technology, USA","institution_ids":["https://openalex.org/I63966007"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":3214,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"3485","last_page":"3492"},"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":0.9998999834060669,"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":0.9998999834060669,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9973000288009644,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9961000084877014,"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/categorization","display_name":"Categorization","score":0.8708356618881226},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7827039957046509},{"id":"https://openalex.org/keywords/scene-statistics","display_name":"Scene statistics","score":0.6245030760765076},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6106266975402832},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5679239630699158},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5627451539039612},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.5359521508216858},{"id":"https://openalex.org/keywords/variety","display_name":"Variety (cybernetics)","score":0.5266268849372864},{"id":"https://openalex.org/keywords/scope","display_name":"Scope (computer science)","score":0.5117461681365967},{"id":"https://openalex.org/keywords/cognitive-neuroscience-of-visual-object-recognition","display_name":"Cognitive neuroscience of visual object recognition","score":0.46917325258255005},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.4482837915420532},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.38708335161209106},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.38305968046188354},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.1799730658531189},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.12245473265647888},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.08260449767112732}],"concepts":[{"id":"https://openalex.org/C94124525","wikidata":"https://www.wikidata.org/wiki/Q912550","display_name":"Categorization","level":2,"score":0.8708356618881226},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7827039957046509},{"id":"https://openalex.org/C197654239","wikidata":"https://www.wikidata.org/wiki/Q7430757","display_name":"Scene statistics","level":3,"score":0.6245030760765076},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6106266975402832},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5679239630699158},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5627451539039612},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.5359521508216858},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.5266268849372864},{"id":"https://openalex.org/C2778012447","wikidata":"https://www.wikidata.org/wiki/Q1034415","display_name":"Scope (computer science)","level":2,"score":0.5117461681365967},{"id":"https://openalex.org/C64876066","wikidata":"https://www.wikidata.org/wiki/Q5141226","display_name":"Cognitive neuroscience of visual object recognition","level":3,"score":0.46917325258255005},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.4482837915420532},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.38708335161209106},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.38305968046188354},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.1799730658531189},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.12245473265647888},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.08260449767112732},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","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}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/cvpr.2010.5539970","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2010.5539970","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.469.2228","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.469.2228","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://cs.brown.edu/~hays/papers/sun.pdf","raw_type":"text"},{"id":"pmh:oai:dspace.mit.edu:1721.1/60690","is_oa":true,"landing_page_url":"http://hdl.handle.net/1721.1/60690","pdf_url":null,"source":{"id":"https://openalex.org/S4306400425","display_name":"DSpace@MIT (Massachusetts Institute of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I63966007","host_organization_name":"Massachusetts Institute of Technology","host_organization_lineage":["https://openalex.org/I63966007"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-sa","license_id":"https://openalex.org/licenses/cc-by-nc-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"MIT web domain","raw_type":"http://purl.org/eprint/type/ConferencePaper"}],"best_oa_location":{"id":"pmh:oai:dspace.mit.edu:1721.1/60690","is_oa":true,"landing_page_url":"http://hdl.handle.net/1721.1/60690","pdf_url":null,"source":{"id":"https://openalex.org/S4306400425","display_name":"DSpace@MIT (Massachusetts Institute of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I63966007","host_organization_name":"Massachusetts Institute of Technology","host_organization_lineage":["https://openalex.org/I63966007"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-sa","license_id":"https://openalex.org/licenses/cc-by-nc-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"MIT web domain","raw_type":"http://purl.org/eprint/type/ConferencePaper"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":44,"referenced_works":["https://openalex.org/W1546715894","https://openalex.org/W1566135517","https://openalex.org/W1576445103","https://openalex.org/W1619178479","https://openalex.org/W2007653981","https://openalex.org/W2031489346","https://openalex.org/W2038721957","https://openalex.org/W2059799772","https://openalex.org/W2070093385","https://openalex.org/W2086293932","https://openalex.org/W2103163130","https://openalex.org/W2103215849","https://openalex.org/W2107034620","https://openalex.org/W2119996767","https://openalex.org/W2121927366","https://openalex.org/W2124404372","https://openalex.org/W2125310925","https://openalex.org/W2128554449","https://openalex.org/W2134921974","https://openalex.org/W2135994945","https://openalex.org/W2138203286","https://openalex.org/W2144502914","https://openalex.org/W2145607950","https://openalex.org/W2146022472","https://openalex.org/W2148809531","https://openalex.org/W2155871590","https://openalex.org/W2161969291","https://openalex.org/W2162915993","https://openalex.org/W2163352848","https://openalex.org/W2168356304","https://openalex.org/W2181691731","https://openalex.org/W2624602067","https://openalex.org/W2911355490","https://openalex.org/W4229844323","https://openalex.org/W4235505822","https://openalex.org/W4241027858","https://openalex.org/W4285719527","https://openalex.org/W6632732690","https://openalex.org/W6634343353","https://openalex.org/W6658049321","https://openalex.org/W6680167234","https://openalex.org/W6758369597","https://openalex.org/W7011438494","https://openalex.org/W7062670285"],"related_works":["https://openalex.org/W2109586375","https://openalex.org/W2115592544","https://openalex.org/W2093773434","https://openalex.org/W1986440968","https://openalex.org/W2071302177","https://openalex.org/W4311804456","https://openalex.org/W4365135359","https://openalex.org/W2168616527","https://openalex.org/W2891061472","https://openalex.org/W2573606541"],"abstract_inverted_index":{"Scene":[0,64],"categorization":[1,38],"is":[2],"a":[3,113],"fundamental":[4],"problem":[5],"in":[6],"computer":[7],"vision.":[8],"However,":[9],"scene":[10,31,51,86,97,115],"understanding":[11],"research":[12],"has":[13],"been":[14],"constrained":[15],"by":[16],"the":[17,27,46,62,101],"limited":[18],"scope":[19],"of":[20,30,41,44,50,92,122],"currently-used":[21],"databases":[22,35],"which":[23],"do":[24],"not":[25],"capture":[26],"full":[28],"variety":[29],"categories.":[32],"Whereas":[33],"standard":[34],"for":[36,85],"object":[37],"contain":[39],"hundreds":[40],"different":[42],"classes":[43],"objects,":[45],"largest":[47],"available":[48],"dataset":[49],"categories":[52,71,79],"contains":[53,69],"only":[54],"15":[55],"classes.":[56],"In":[57],"this":[58,106],"paper":[59],"we":[60,111],"propose":[61],"extensive":[63],"UNderstanding":[65],"(SUN)":[66],"database":[67,103],"that":[68],"899":[70],"and":[72,88,104],"130,519":[73],"images.":[74],"We":[75,94],"use":[76],"397":[77],"well-sampled":[78],"to":[80,117],"evaluate":[81],"numerous":[82],"state-of-the-art":[83],"algorithms":[84],"recognition":[87],"establish":[89],"new":[90],"bounds":[91],"performance.":[93],"measure":[95],"human":[96],"classification":[98],"performance":[99],"on":[100],"SUN":[102],"compare":[105],"with":[107],"computational":[108],"methods.":[109],"Additionally,":[110],"study":[112],"finer-grained":[114],"representation":[116],"detect":[118],"scenes":[119],"embedded":[120],"inside":[121],"larger":[123],"scenes.":[124]},"counts_by_year":[{"year":2026,"cited_by_count":95},{"year":2025,"cited_by_count":257},{"year":2024,"cited_by_count":287},{"year":2023,"cited_by_count":254},{"year":2022,"cited_by_count":190},{"year":2021,"cited_by_count":262},{"year":2020,"cited_by_count":227},{"year":2019,"cited_by_count":270},{"year":2018,"cited_by_count":226},{"year":2017,"cited_by_count":207},{"year":2016,"cited_by_count":268},{"year":2015,"cited_by_count":235},{"year":2014,"cited_by_count":188},{"year":2013,"cited_by_count":125},{"year":2012,"cited_by_count":75}],"updated_date":"2026-07-20T07:56:41.581041","created_date":"2025-10-10T00:00:00"}
