{"id":"https://openalex.org/W2553474785","doi":"https://doi.org/10.24963/ijcai.2017/505","title":"Object Recognition with and without Objects","display_name":"Object Recognition with and without Objects","publication_year":2017,"publication_date":"2017-07-28","ids":{"openalex":"https://openalex.org/W2553474785","doi":"https://doi.org/10.24963/ijcai.2017/505","mag":"2553474785"},"language":"en","primary_location":{"id":"doi:10.24963/ijcai.2017/505","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2017/505","pdf_url":"https://www.ijcai.org/proceedings/2017/0505.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.ijcai.org/proceedings/2017/0505.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5069972117","display_name":"Zhuotun Zhu","orcid":null},"institutions":[{"id":"https://openalex.org/I145311948","display_name":"Johns Hopkins University","ror":"https://ror.org/00za53h95","country_code":"US","type":"education","lineage":["https://openalex.org/I145311948"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Zhuotun Zhu","raw_affiliation_strings":["The Johns Hopkins University","Johns Hopkins University, Baltimore, MD, USA"],"affiliations":[{"raw_affiliation_string":"The Johns Hopkins University","institution_ids":["https://openalex.org/I145311948"]},{"raw_affiliation_string":"Johns Hopkins University, Baltimore, MD, USA","institution_ids":["https://openalex.org/I145311948"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075290241","display_name":"Lingxi Xie","orcid":"https://orcid.org/0000-0003-4831-9451"},"institutions":[{"id":"https://openalex.org/I145311948","display_name":"Johns Hopkins University","ror":"https://ror.org/00za53h95","country_code":"US","type":"education","lineage":["https://openalex.org/I145311948"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Lingxi Xie","raw_affiliation_strings":["The Johns Hopkins University","Johns Hopkins University, Baltimore, MD, USA"],"affiliations":[{"raw_affiliation_string":"The Johns Hopkins University","institution_ids":["https://openalex.org/I145311948"]},{"raw_affiliation_string":"Johns Hopkins University, Baltimore, MD, USA","institution_ids":["https://openalex.org/I145311948"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5086706224","display_name":"Alan Yuille","orcid":"https://orcid.org/0000-0001-5207-9249"},"institutions":[{"id":"https://openalex.org/I145311948","display_name":"Johns Hopkins University","ror":"https://ror.org/00za53h95","country_code":"US","type":"education","lineage":["https://openalex.org/I145311948"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Alan Yuille","raw_affiliation_strings":["The Johns Hopkins University","Johns Hopkins University, Baltimore, MD, USA"],"affiliations":[{"raw_affiliation_string":"The Johns Hopkins University","institution_ids":["https://openalex.org/I145311948"]},{"raw_affiliation_string":"Johns Hopkins University, Baltimore, MD, USA","institution_ids":["https://openalex.org/I145311948"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5069972117"],"corresponding_institution_ids":["https://openalex.org/I145311948"],"apc_list":null,"apc_paid":null,"fwci":1.6637,"has_fulltext":false,"cited_by_count":49,"citation_normalized_percentile":{"value":0.90463619,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"3609","last_page":"3615"},"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":0.9997000098228455,"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":0.9997000098228455,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9988999962806702,"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/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9986000061035156,"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/computer-science","display_name":"Computer science","score":0.8289636373519897},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.749725878238678},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.7062626481056213},{"id":"https://openalex.org/keywords/margin","display_name":"Margin (machine learning)","score":0.7004203200340271},{"id":"https://openalex.org/keywords/cognitive-neuroscience-of-visual-object-recognition","display_name":"Cognitive neuroscience of visual object recognition","score":0.6913664937019348},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6253670454025269},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5915921330451965},{"id":"https://openalex.org/keywords/deep-neural-networks","display_name":"Deep neural networks","score":0.5752177834510803},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.48922109603881836},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.47809597849845886},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.452619343996048},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4430012106895447},{"id":"https://openalex.org/keywords/context-model","display_name":"Context model","score":0.4311380982398987},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3285002112388611}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8289636373519897},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.749725878238678},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.7062626481056213},{"id":"https://openalex.org/C774472","wikidata":"https://www.wikidata.org/wiki/Q6760393","display_name":"Margin (machine learning)","level":2,"score":0.7004203200340271},{"id":"https://openalex.org/C64876066","wikidata":"https://www.wikidata.org/wiki/Q5141226","display_name":"Cognitive neuroscience of visual object recognition","level":3,"score":0.6913664937019348},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6253670454025269},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5915921330451965},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.5752177834510803},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.48922109603881836},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.47809597849845886},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.452619343996048},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4430012106895447},{"id":"https://openalex.org/C183322885","wikidata":"https://www.wikidata.org/wiki/Q17007702","display_name":"Context model","level":3,"score":0.4311380982398987},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3285002112388611},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.24963/ijcai.2017/505","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2017/505","pdf_url":"https://www.ijcai.org/proceedings/2017/0505.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.24963/ijcai.2017/505","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2017/505","pdf_url":"https://www.ijcai.org/proceedings/2017/0505.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1046215736","display_name":null,"funder_award_id":"D16PC00007","funder_id":"https://openalex.org/F4320333051","funder_display_name":"Intelligence Advanced Research Projects Activity"}],"funders":[{"id":"https://openalex.org/F4320333051","display_name":"Intelligence Advanced Research Projects Activity","ror":"https://ror.org/01v3fsc55"},{"id":"https://openalex.org/F4320333452","display_name":"Interior Business Center","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2553474785.pdf","grobid_xml":"https://content.openalex.org/works/W2553474785.grobid-xml"},"referenced_works_count":44,"referenced_works":["https://openalex.org/W7746136","https://openalex.org/W639708223","https://openalex.org/W1032684693","https://openalex.org/W1482998036","https://openalex.org/W1576445103","https://openalex.org/W1606858007","https://openalex.org/W1625255723","https://openalex.org/W1665214252","https://openalex.org/W1686810756","https://openalex.org/W1797268635","https://openalex.org/W1836465849","https://openalex.org/W1849277567","https://openalex.org/W1899185266","https://openalex.org/W1955462214","https://openalex.org/W2001353114","https://openalex.org/W2017814585","https://openalex.org/W2027922120","https://openalex.org/W2080142539","https://openalex.org/W2097117768","https://openalex.org/W2104657103","https://openalex.org/W2108598243","https://openalex.org/W2117539524","https://openalex.org/W2151103935","https://openalex.org/W2154579312","https://openalex.org/W2161969291","https://openalex.org/W2162915993","https://openalex.org/W2163605009","https://openalex.org/W2175591440","https://openalex.org/W2194775991","https://openalex.org/W2220111505","https://openalex.org/W2221625691","https://openalex.org/W2302255633","https://openalex.org/W2395611524","https://openalex.org/W2507193517","https://openalex.org/W2510153535","https://openalex.org/W2533598788","https://openalex.org/W2558914813","https://openalex.org/W2618530766","https://openalex.org/W2950094539","https://openalex.org/W2953066166","https://openalex.org/W2953106684","https://openalex.org/W2953313539","https://openalex.org/W2963996492","https://openalex.org/W4295224294"],"related_works":["https://openalex.org/W3125011624","https://openalex.org/W1508631387","https://openalex.org/W2370917603","https://openalex.org/W2952760143","https://openalex.org/W2017776670","https://openalex.org/W2347897961","https://openalex.org/W2340870721","https://openalex.org/W2358318464","https://openalex.org/W2979236518","https://openalex.org/W2900482274"],"abstract_inverted_index":{"While":[0],"recent":[1],"deep":[2,29],"neural":[3,30],"networks":[4,31,50,78,85,102],"have":[5,89],"achieved":[6],"a":[7,67],"promising":[8],"performance":[9,62],"on":[10,16,32,52],"object":[11,81],"recognition,":[12],"they":[13],"rely":[14],"implicitly":[15],"the":[17,21,33,47,53,132,135],"visual":[18,106,116],"contents":[19],"of":[20,40,134],"whole":[22],"image.":[23,95],"In":[24],"this":[25],"paper,":[26],"we":[27,97],"train":[28],"foreground":[34],"(object)":[35],"and":[36,86,123],"background":[37,55],"(context)":[38],"regions":[39],"images":[41],"respectively.":[42],"Considering":[43],"human":[44,87],"recognition":[45,61],"in":[46,92],"same":[48],"situations,":[49],"trained":[51,101],"pure":[54,80],"without":[56],"objects":[57],"achieves":[58],"highly":[59],"reasonable":[60],"that":[63,114],"beats":[64],"humans":[65,75],"by":[66,109],"large":[68],"margin":[69],"if":[70],"only":[71],"given":[72],"context.":[73],"However,":[74],"still":[76],"outperform":[77],"with":[79],"available,":[82],"which":[83,130],"indicates":[84],"beings":[88],"different":[90,105,110],"mechanisms":[91],"understanding":[93],"an":[94],"Furthermore,":[96],"straightforwardly":[98],"combine":[99],"multiple":[100],"to":[103,126],"explore":[104],"cues":[107],"learned":[108,121],"networks.":[111],"Experiments":[112],"show":[113],"useful":[115],"hints":[117],"can":[118],"be":[119],"explicitly":[120],"separately":[122],"then":[124],"combined":[125],"achieve":[127],"higher":[128],"performance,":[129],"verifies":[131],"advantages":[133],"proposed":[136],"framework.":[137]},"counts_by_year":[{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":11},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":13},{"year":2020,"cited_by_count":7},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":4}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}
