{"id":"https://openalex.org/W2005530432","doi":"https://doi.org/10.1142/s0218001412550063","title":"FINE-GRAINED AND LAYERED OBJECT RECOGNITION","display_name":"FINE-GRAINED AND LAYERED OBJECT RECOGNITION","publication_year":2012,"publication_date":"2012-03-01","ids":{"openalex":"https://openalex.org/W2005530432","doi":"https://doi.org/10.1142/s0218001412550063","mag":"2005530432"},"language":"en","primary_location":{"id":"doi:10.1142/s0218001412550063","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218001412550063","pdf_url":null,"source":{"id":"https://openalex.org/S41486457","display_name":"International Journal of Pattern Recognition and Artificial Intelligence","issn_l":"0218-0014","issn":["0218-0014","1793-6381"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Pattern Recognition and Artificial Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100741279","display_name":"Yang Wu","orcid":"https://orcid.org/0000-0001-8010-6857"},"institutions":[{"id":"https://openalex.org/I22299242","display_name":"Kyoto University","ror":"https://ror.org/02kpeqv85","country_code":"JP","type":"education","lineage":["https://openalex.org/I22299242"]},{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]},{"id":"https://openalex.org/I39012071","display_name":"Kyoto College of Graduate Studies for Informatics","ror":"https://ror.org/05mzj8a56","country_code":"JP","type":"education","lineage":["https://openalex.org/I39012071"]}],"countries":["CN","JP"],"is_corresponding":true,"raw_author_name":"YANG WU","raw_affiliation_strings":["Academic Center for Computing and Media Studies, Kyoto University, Kyoto 606-8501, Japan","Institute of Artificial Intelligence and Robotics, Xi'an Jiaotong University, 28 West Xianning Road, Xi'an 710049 Shaanxi, P. R. China"],"affiliations":[{"raw_affiliation_string":"Academic Center for Computing and Media Studies, Kyoto University, Kyoto 606-8501, Japan","institution_ids":["https://openalex.org/I39012071","https://openalex.org/I22299242"]},{"raw_affiliation_string":"Institute of Artificial Intelligence and Robotics, Xi'an Jiaotong University, 28 West Xianning Road, Xi'an 710049 Shaanxi, P. R. China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047405956","display_name":"Nanning Zheng","orcid":"https://orcid.org/0000-0003-1608-8257"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"NANNING ZHENG","raw_affiliation_strings":["Institute of Artificial Intelligence and Robotics, Xi'an Jiaotong University, 28 West Xianning Road, Xi'an 710049 Shaanxi, P. R. China"],"affiliations":[{"raw_affiliation_string":"Institute of Artificial Intelligence and Robotics, Xi'an Jiaotong University, 28 West Xianning Road, Xi'an 710049 Shaanxi, P. R. China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073987006","display_name":"Yuanliu Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"YUANLIU LIU","raw_affiliation_strings":["Institute of Artificial Intelligence and Robotics, Xi'an Jiaotong University, 28 West Xianning Road, Xi'an 710049 Shaanxi, P. R. China"],"affiliations":[{"raw_affiliation_string":"Institute of Artificial Intelligence and Robotics, Xi'an Jiaotong University, 28 West Xianning Road, Xi'an 710049 Shaanxi, P. R. China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005376529","display_name":"Zejian Yuan","orcid":"https://orcid.org/0000-0001-5548-3634"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"ZEJIAN YUAN","raw_affiliation_strings":["Institute of Artificial Intelligence and Robotics, Xi'an Jiaotong University, 28 West Xianning Road, Xi'an 710049 Shaanxi, P. R. China"],"affiliations":[{"raw_affiliation_string":"Institute of Artificial Intelligence and Robotics, Xi'an Jiaotong University, 28 West Xianning Road, Xi'an 710049 Shaanxi, P. R. China","institution_ids":["https://openalex.org/I87445476"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100741279"],"corresponding_institution_ids":["https://openalex.org/I22299242","https://openalex.org/I39012071","https://openalex.org/I87445476"],"apc_list":null,"apc_paid":null,"fwci":0.2745,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.55337563,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"26","issue":"02","first_page":"1255006","last_page":"1255006"},"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/T10824","display_name":"Image Retrieval and Classification 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":0.9966999888420105,"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":0.8494638204574585},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.8215861320495605},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.7493429183959961},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7226455211639404},{"id":"https://openalex.org/keywords/categorization","display_name":"Categorization","score":0.7226217985153198},{"id":"https://openalex.org/keywords/cognitive-neuroscience-of-visual-object-recognition","display_name":"Cognitive neuroscience of visual object recognition","score":0.6801062226295471},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5023605823516846},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4797419309616089},{"id":"https://openalex.org/keywords/3d-single-object-recognition","display_name":"3D single-object recognition","score":0.4409664273262024},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3359837532043457}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8494638204574585},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.8215861320495605},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.7493429183959961},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7226455211639404},{"id":"https://openalex.org/C94124525","wikidata":"https://www.wikidata.org/wiki/Q912550","display_name":"Categorization","level":2,"score":0.7226217985153198},{"id":"https://openalex.org/C64876066","wikidata":"https://www.wikidata.org/wiki/Q5141226","display_name":"Cognitive neuroscience of visual object recognition","level":3,"score":0.6801062226295471},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5023605823516846},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4797419309616089},{"id":"https://openalex.org/C14551309","wikidata":"https://www.wikidata.org/wiki/Q4636325","display_name":"3D single-object recognition","level":4,"score":0.4409664273262024},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3359837532043457},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1142/s0218001412550063","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218001412550063","pdf_url":null,"source":{"id":"https://openalex.org/S41486457","display_name":"International Journal of Pattern Recognition and Artificial Intelligence","issn_l":"0218-0014","issn":["0218-0014","1793-6381"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Pattern Recognition and Artificial Intelligence","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":39,"referenced_works":["https://openalex.org/W1515020792","https://openalex.org/W1525954826","https://openalex.org/W1558057344","https://openalex.org/W1910192750","https://openalex.org/W1994213117","https://openalex.org/W2009593947","https://openalex.org/W2020573657","https://openalex.org/W2030536784","https://openalex.org/W2031489346","https://openalex.org/W2083342768","https://openalex.org/W2098411764","https://openalex.org/W2100852738","https://openalex.org/W2105842272","https://openalex.org/W2106097867","https://openalex.org/W2110764733","https://openalex.org/W2113201641","https://openalex.org/W2115647273","https://openalex.org/W2122808326","https://openalex.org/W2131962941","https://openalex.org/W2132172482","https://openalex.org/W2132630629","https://openalex.org/W2134270519","https://openalex.org/W2135140174","https://openalex.org/W2142037471","https://openalex.org/W2151103935","https://openalex.org/W2153493250","https://openalex.org/W2156323526","https://openalex.org/W2158535772","https://openalex.org/W2162762921","https://openalex.org/W2162915993","https://openalex.org/W2164598857","https://openalex.org/W2168356304","https://openalex.org/W2534457893","https://openalex.org/W2538075359","https://openalex.org/W2540289081","https://openalex.org/W2541621339","https://openalex.org/W2548995987","https://openalex.org/W2562540632","https://openalex.org/W3014182576"],"related_works":["https://openalex.org/W4311804456","https://openalex.org/W4365135359","https://openalex.org/W2115592544","https://openalex.org/W2093773434","https://openalex.org/W2010089350","https://openalex.org/W2114275278","https://openalex.org/W2769899322","https://openalex.org/W1489511283","https://openalex.org/W2974914859","https://openalex.org/W949345935"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3,24,62,80],"novel":[4],"research":[5],"on":[6,41,66,79],"promoting":[7],"the":[8,12,85],"performance":[9],"and":[10,51,69,90],"enriching":[11],"functionalities":[13],"of":[14,18,87],"object":[15,28,38],"recognition.":[16],"Instead":[17],"simply":[19],"fitting":[20],"various":[21],"data":[22],"to":[23,32,75],"few":[25],"predefined":[26],"semantic":[27],"categories,":[29],"we":[30],"propose":[31],"generate":[33],"proper":[34],"results":[35,47],"for":[36],"different":[37],"instances":[39],"based":[40,65],"their":[42],"actual":[43],"visual":[44],"appearances.":[45],"The":[46],"can":[48],"be":[49],"fine-grained":[50],"layered":[52],"categorization":[53],"along":[54],"with":[55],"absolute":[56],"or":[57],"relative":[58],"localization.":[59],"We":[60],"present":[61],"generic":[63],"model":[64,89],"structured":[67],"prediction":[68],"an":[70],"efficient":[71],"online":[72],"learning":[73],"algorithm":[74],"solve":[76],"it.":[77],"Experiments":[78],"new":[81],"benchmark":[82],"dataset":[83],"demonstrate":[84],"effectiveness":[86],"our":[88],"its":[91],"superiority":[92],"against":[93],"traditional":[94],"recognition":[95],"methods.":[96]},"counts_by_year":[{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2014,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
