{"id":"https://openalex.org/W2057011956","doi":"https://doi.org/10.1145/2671188.2749328","title":"Kernelizing Spatially Consistent Visual Matches for Fine-Grained Classification","display_name":"Kernelizing Spatially Consistent Visual Matches for Fine-Grained Classification","publication_year":2015,"publication_date":"2015-06-22","ids":{"openalex":"https://openalex.org/W2057011956","doi":"https://doi.org/10.1145/2671188.2749328","mag":"2057011956"},"language":"en","primary_location":{"id":"doi:10.1145/2671188.2749328","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2671188.2749328","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 5th ACM on International Conference on Multimedia Retrieval","raw_type":"proceedings-article"},"type":"conference-paper","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/A5001703354","display_name":"Vaentin Leveau","orcid":null},"institutions":[{"id":"https://openalex.org/I4210125774","display_name":"Institut National de l'Audiovisuel","ror":"https://ror.org/02zwkwz55","country_code":"FR","type":"other","lineage":["https://openalex.org/I4210125774"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Vaentin Leveau","raw_affiliation_strings":["INA, Bry-sur-Marne, France","Institut National de l'Audiovisuel","Scientific Data Management"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"INA, Bry-sur-Marne, France","institution_ids":["https://openalex.org/I4210125774"]},{"raw_affiliation_string":"Institut National de l'Audiovisuel","institution_ids":["https://openalex.org/I4210125774"]},{"raw_affiliation_string":"Scientific Data Management","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015501462","display_name":"Alexis Joly","orcid":"https://orcid.org/0000-0002-2161-9940"},"institutions":[{"id":"https://openalex.org/I1326498283","display_name":"Institut national de recherche en sciences et technologies du num\u00e9rique","ror":"https://ror.org/02kvxyf05","country_code":"FR","type":"government","lineage":["https://openalex.org/I1326498283"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Alexis Joly","raw_affiliation_strings":["INRIA, Montpellier, France","Scientific Data Management"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"INRIA, Montpellier, France","institution_ids":["https://openalex.org/I1326498283"]},{"raw_affiliation_string":"Scientific Data Management","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033855284","display_name":"Olivier Buisson","orcid":null},"institutions":[{"id":"https://openalex.org/I4210125774","display_name":"Institut National de l'Audiovisuel","ror":"https://ror.org/02zwkwz55","country_code":"FR","type":"other","lineage":["https://openalex.org/I4210125774"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Olivier Buisson","raw_affiliation_strings":["INA, Bry-sur-Marne, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"INA, Bry-sur-Marne, France","institution_ids":["https://openalex.org/I4210125774"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5041964026","display_name":"Patrick Valduriez","orcid":"https://orcid.org/0000-0001-6506-7538"},"institutions":[{"id":"https://openalex.org/I1326498283","display_name":"Institut national de recherche en sciences et technologies du num\u00e9rique","ror":"https://ror.org/02kvxyf05","country_code":"FR","type":"government","lineage":["https://openalex.org/I1326498283"]},{"id":"https://openalex.org/I4210124949","display_name":"Microsoft Research (India)","ror":"https://ror.org/02w7f3w92","country_code":"IN","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210124949"]}],"countries":["FR","IN"],"is_corresponding":false,"raw_author_name":"Patrick Valduriez","raw_affiliation_strings":["INRIA, Montpellier, France","Institut de Biologie Computationnelle","Microsoft Research - Inria Joint Centre","Scientific Data Management"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"INRIA, Montpellier, France","institution_ids":["https://openalex.org/I1326498283"]},{"raw_affiliation_string":"Institut de Biologie Computationnelle","institution_ids":[]},{"raw_affiliation_string":"Microsoft Research - Inria Joint Centre","institution_ids":["https://openalex.org/I4210124949"]},{"raw_affiliation_string":"Scientific Data Management","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2703,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.57606782,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"155","last_page":"162"},"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9961000084877014,"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.995199978351593,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/overfitting","display_name":"Overfitting","score":0.8153330683708191},{"id":"https://openalex.org/keywords/pooling","display_name":"Pooling","score":0.8091113567352295},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7313003540039062},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7072159051895142},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.66792231798172},{"id":"https://openalex.org/keywords/curse-of-dimensionality","display_name":"Curse of dimensionality","score":0.6494426727294922},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.595843493938446},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.5934737324714661},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5657380819320679},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.5345408320426941},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3669204115867615},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3210960924625397},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2322312295436859},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.22512134909629822}],"concepts":[{"id":"https://openalex.org/C22019652","wikidata":"https://www.wikidata.org/wiki/Q331309","display_name":"Overfitting","level":3,"score":0.8153330683708191},{"id":"https://openalex.org/C70437156","wikidata":"https://www.wikidata.org/wiki/Q7228652","display_name":"Pooling","level":2,"score":0.8091113567352295},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7313003540039062},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7072159051895142},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.66792231798172},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.6494426727294922},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.595843493938446},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.5934737324714661},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5657380819320679},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.5345408320426941},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3669204115867615},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3210960924625397},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2322312295436859},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.22512134909629822},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","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/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/2671188.2749328","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2671188.2749328","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 5th ACM on International Conference on Multimedia Retrieval","raw_type":"proceedings-article"},{"id":"pmh:oai:HAL:hal-01145988v1","is_oa":false,"landing_page_url":"https://inria.hal.science/hal-01145988","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.sigmm.org/archive/ICMR/icmr15/","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W9613553","https://openalex.org/W1503387401","https://openalex.org/W1556531089","https://openalex.org/W1606858007","https://openalex.org/W1967632700","https://openalex.org/W1969241115","https://openalex.org/W1979931042","https://openalex.org/W1980911747","https://openalex.org/W1980972548","https://openalex.org/W1984309565","https://openalex.org/W1986482242","https://openalex.org/W1997360595","https://openalex.org/W2027922120","https://openalex.org/W2031039904","https://openalex.org/W2073299621","https://openalex.org/W2088866137","https://openalex.org/W2089923519","https://openalex.org/W2097018403","https://openalex.org/W2104978738","https://openalex.org/W2118585731","https://openalex.org/W2122048393","https://openalex.org/W2124386111","https://openalex.org/W2124509324","https://openalex.org/W2131846894","https://openalex.org/W2134692386","https://openalex.org/W2135142548","https://openalex.org/W2135706578","https://openalex.org/W2142040641","https://openalex.org/W2147238549","https://openalex.org/W2148809531","https://openalex.org/W2154583877","https://openalex.org/W2155490028","https://openalex.org/W2162915993","https://openalex.org/W2163605009","https://openalex.org/W2165146474","https://openalex.org/W2167986384","https://openalex.org/W2170037597","https://openalex.org/W2604272474","https://openalex.org/W3001645704","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W1574414179","https://openalex.org/W4362597605","https://openalex.org/W3009056573","https://openalex.org/W2922073769","https://openalex.org/W3026913501","https://openalex.org/W4318954401","https://openalex.org/W2748667022","https://openalex.org/W3211770882","https://openalex.org/W2010629964","https://openalex.org/W2983135586"],"abstract_inverted_index":{"This":[0],"paper":[1],"introduces":[2],"a":[3,20,92],"new":[4,21],"image":[5,74],"representation":[6,52,75],"relying":[7],"on":[8,25,111],"the":[9,26,30,46,49,59,69,80,105,109],"spatial":[10,66],"pooling":[11,58],"of":[12,29,48],"geometrically":[13],"consistent":[14,61],"visual":[15],"matches.":[16],"We":[17],"therefore":[18],"introduce":[19],"match":[22],"kernel":[23],"based":[24],"inverse":[27],"rank":[28],"shared":[31],"nearest":[32],"neighbors":[33],"combined":[34],"with":[35],"local":[36],"geometric":[37],"constraints.":[38],"To":[39],"avoid":[40],"overfitting":[41],"and":[42],"reduce":[43],"processing":[44],"costs,":[45],"dimensionality":[47],"resulting":[50,81],"over-complete":[51],"is":[53,76,96],"further":[54],"reduced":[55],"by":[56,78],"hierarchically":[57],"raw":[60],"matches":[62],"according":[63],"to":[64,98],"their":[65],"position":[67],"in":[68,108],"training":[70],"images.":[71],"The":[72],"final":[73],"obtained":[77],"concatenating":[79],"feature":[82],"vectors":[83],"at":[84],"several":[85,112],"resolutions.":[86],"Learning":[87],"from":[88],"these":[89],"representations":[90],"using":[91],"logistic":[93],"regression":[94],"classifier":[95],"shown":[97],"provide":[99],"excellent":[100],"fine-grained":[101],"classification":[102,113],"performances":[103],"outperforming":[104],"results":[106],"reported":[107],"literature":[110],"tasks.":[114]},"counts_by_year":[{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
