{"id":"https://openalex.org/W2295537791","doi":"https://doi.org/10.1007/978-3-319-46604-0_48","title":"Cross-Dimensional Weighting for Aggregated Deep Convolutional Features","display_name":"Cross-Dimensional Weighting for Aggregated Deep Convolutional Features","publication_year":2016,"publication_date":"2016-01-01","ids":{"openalex":"https://openalex.org/W2295537791","doi":"https://doi.org/10.1007/978-3-319-46604-0_48","mag":"2295537791"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-319-46604-0_48","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-319-46604-0_48","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"type":"book-chapter","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/A5042126127","display_name":"Yannis Kalantidis","orcid":null},"institutions":[{"id":"https://openalex.org/I4210134091","display_name":"Yahoo (United States)","ror":"https://ror.org/040dkzz12","country_code":"US","type":"company","lineage":["https://openalex.org/I4210134091"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Yannis Kalantidis","raw_affiliation_strings":["Computer Vision and Machine Learning Group Flickr, Yahoo, San Francisco, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Vision and Machine Learning Group Flickr, Yahoo, San Francisco, USA","institution_ids":["https://openalex.org/I4210134091"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042405815","display_name":"Clayton Mellina","orcid":null},"institutions":[{"id":"https://openalex.org/I4210134091","display_name":"Yahoo (United States)","ror":"https://ror.org/040dkzz12","country_code":"US","type":"company","lineage":["https://openalex.org/I4210134091"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Clayton Mellina","raw_affiliation_strings":["Computer Vision and Machine Learning Group Flickr, Yahoo, San Francisco, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Vision and Machine Learning Group Flickr, Yahoo, San Francisco, USA","institution_ids":["https://openalex.org/I4210134091"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5052435039","display_name":"Simon Osindero","orcid":null},"institutions":[{"id":"https://openalex.org/I4210134091","display_name":"Yahoo (United States)","ror":"https://ror.org/040dkzz12","country_code":"US","type":"company","lineage":["https://openalex.org/I4210134091"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Simon Osindero","raw_affiliation_strings":["Computer Vision and Machine Learning Group Flickr, Yahoo, San Francisco, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Vision and Machine Learning Group Flickr, Yahoo, San Francisco, USA","institution_ids":["https://openalex.org/I4210134091"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5042126127"],"corresponding_institution_ids":["https://openalex.org/I4210134091"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":20.8176,"has_fulltext":false,"cited_by_count":413,"citation_normalized_percentile":{"value":0.99144057,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"685","last_page":"701"},"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":1.0,"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":1.0,"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":0.9994999766349792,"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":0.9993000030517578,"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/computer-science","display_name":"Computer science","score":0.8535691499710083},{"id":"https://openalex.org/keywords/weighting","display_name":"Weighting","score":0.8387787342071533},{"id":"https://openalex.org/keywords/pooling","display_name":"Pooling","score":0.7424476146697998},{"id":"https://openalex.org/keywords/burstiness","display_name":"Burstiness","score":0.6922242045402527},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6839913725852966},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5633859634399414},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.544529378414154},{"id":"https://openalex.org/keywords/parametric-statistics","display_name":"Parametric statistics","score":0.47412776947021484},{"id":"https://openalex.org/keywords/simple","display_name":"Simple (philosophy)","score":0.4642038941383362},{"id":"https://openalex.org/keywords/layer","display_name":"Layer (electronics)","score":0.41813600063323975},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4146523177623749},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.4126230776309967},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.38865044713020325},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3614371716976166},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3301534950733185},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.07428035140037537},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.06575503945350647},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.06443971395492554}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8535691499710083},{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.8387787342071533},{"id":"https://openalex.org/C70437156","wikidata":"https://www.wikidata.org/wiki/Q7228652","display_name":"Pooling","level":2,"score":0.7424476146697998},{"id":"https://openalex.org/C2781023610","wikidata":"https://www.wikidata.org/wiki/Q17006304","display_name":"Burstiness","level":3,"score":0.6922242045402527},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6839913725852966},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5633859634399414},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.544529378414154},{"id":"https://openalex.org/C117251300","wikidata":"https://www.wikidata.org/wiki/Q1849855","display_name":"Parametric statistics","level":2,"score":0.47412776947021484},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.4642038941383362},{"id":"https://openalex.org/C2779227376","wikidata":"https://www.wikidata.org/wiki/Q6505497","display_name":"Layer (electronics)","level":2,"score":0.41813600063323975},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4146523177623749},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.4126230776309967},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.38865044713020325},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3614371716976166},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3301534950733185},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.07428035140037537},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.06575503945350647},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.06443971395492554},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"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/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"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},{"id":"https://openalex.org/C158379750","wikidata":"https://www.wikidata.org/wiki/Q214111","display_name":"Network packet","level":2,"score":0.0},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-3-319-46604-0_48","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-319-46604-0_48","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W204268067","https://openalex.org/W603908379","https://openalex.org/W1524680991","https://openalex.org/W1544060217","https://openalex.org/W1556531089","https://openalex.org/W1606858007","https://openalex.org/W1686810756","https://openalex.org/W1833123814","https://openalex.org/W1903029394","https://openalex.org/W1909952827","https://openalex.org/W1920702274","https://openalex.org/W1967632700","https://openalex.org/W1976591483","https://openalex.org/W1976794880","https://openalex.org/W1979931042","https://openalex.org/W1981857004","https://openalex.org/W1982067089","https://openalex.org/W2003340926","https://openalex.org/W2012592962","https://openalex.org/W2023991840","https://openalex.org/W2044284589","https://openalex.org/W2045143396","https://openalex.org/W2062118960","https://openalex.org/W2068143350","https://openalex.org/W2071027807","https://openalex.org/W2100398441","https://openalex.org/W2105516263","https://openalex.org/W2129662884","https://openalex.org/W2131846894","https://openalex.org/W2141362318","https://openalex.org/W2148809531","https://openalex.org/W2155893237","https://openalex.org/W2162601563","https://openalex.org/W2163605009","https://openalex.org/W2174726731","https://openalex.org/W2246164164","https://openalex.org/W2340690086","https://openalex.org/W2963125676"],"related_works":["https://openalex.org/W1843717240","https://openalex.org/W2340440348","https://openalex.org/W2083756677","https://openalex.org/W2737070158","https://openalex.org/W2508200300","https://openalex.org/W4297850514","https://openalex.org/W2138256111","https://openalex.org/W1574103160","https://openalex.org/W1591572210","https://openalex.org/W2810679507"],"abstract_inverted_index":null,"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":10},{"year":2024,"cited_by_count":14},{"year":2023,"cited_by_count":36},{"year":2022,"cited_by_count":56},{"year":2021,"cited_by_count":53},{"year":2020,"cited_by_count":53},{"year":2019,"cited_by_count":64},{"year":2018,"cited_by_count":62},{"year":2017,"cited_by_count":52},{"year":2016,"cited_by_count":10},{"year":2015,"cited_by_count":1}],"updated_date":"2026-04-29T09:16:38.111599","created_date":"2025-10-10T00:00:00"}