{"id":"https://openalex.org/W2773502880","doi":"https://doi.org/10.1109/iccvw.2017.148","title":"Few-Shot Hash Learning for Image Retrieval","display_name":"Few-Shot Hash Learning for Image Retrieval","publication_year":2017,"publication_date":"2017-10-01","ids":{"openalex":"https://openalex.org/W2773502880","doi":"https://doi.org/10.1109/iccvw.2017.148","mag":"2773502880"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccvw.2017.148","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"proceedings-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/A5037727565","display_name":"Liangke Gui","orcid":null},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Liangke Gui","raw_affiliation_strings":["School of Computer Science, Carnegie Mellon University"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, Carnegie Mellon University","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102952938","display_name":"Yu-Xiong Wang","orcid":"https://orcid.org/0000-0002-3338-7905"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yu-Xiong Wang","raw_affiliation_strings":["School of Computer Science, Carnegie Mellon University"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, Carnegie Mellon University","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5075246991","display_name":"Martial Hebert","orcid":"https://orcid.org/0000-0003-4566-5930"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Martial Hebert","raw_affiliation_strings":["School of Computer Science, Carnegie Mellon University"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, Carnegie Mellon University","institution_ids":["https://openalex.org/I74973139"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.363,"has_fulltext":true,"fulltext_origin":"ngrams","cited_by_count":11,"citation_normalized_percentile":{"value":0.800251,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":86,"max":87},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Image Feature Retrieval and Recognition Techniques","score":0.9999,"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":"Image Feature Retrieval and Recognition Techniques","score":0.9999,"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":"Advances in Transfer Learning and Domain Adaptation","score":0.9955,"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/T11714","display_name":"Visual Question Answering in Images and Videos","score":0.9938,"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/locality-sensitive-hashing","display_name":"Locality-sensitive hashing","score":0.6719923},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.6588242},{"id":"https://openalex.org/keywords/few-shot-learning","display_name":"Few-Shot Learning","score":0.653071},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image Retrieval","score":0.566271},{"id":"https://openalex.org/keywords/unsupervised-learning","display_name":"Unsupervised Learning","score":0.539393},{"id":"https://openalex.org/keywords/semi-supervised-learning","display_name":"Semi-Supervised Learning","score":0.539055},{"id":"https://openalex.org/keywords/transfer-learning","display_name":"Transfer Learning","score":0.538728},{"id":"https://openalex.org/keywords/feature-hashing","display_name":"Feature hashing","score":0.5214574},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.41244903}],"concepts":[{"id":"https://openalex.org/C99138194","wikidata":"https://www.wikidata.org/wiki/Q183427","display_name":"Hash function","level":2,"score":0.79028296},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.73390967},{"id":"https://openalex.org/C74270461","wikidata":"https://www.wikidata.org/wiki/Q1625299","display_name":"Locality-sensitive hashing","level":4,"score":0.6719923},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.6588242},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.63272774},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.609071},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.6047122},{"id":"https://openalex.org/C133667856","wikidata":"https://www.wikidata.org/wiki/Q5439682","display_name":"Feature hashing","level":5,"score":0.5214574},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.48440844},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.41696614},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.41244903},{"id":"https://openalex.org/C67388219","wikidata":"https://www.wikidata.org/wiki/Q207440","display_name":"Hash table","level":3,"score":0.3817547},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3530722},{"id":"https://openalex.org/C138111711","wikidata":"https://www.wikidata.org/wiki/Q478351","display_name":"Double hashing","level":4,"score":0.34368694},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","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":1,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccvw.2017.148","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.73}],"grants":[],"datasets":[],"versions":[],"referenced_works_count":78,"referenced_works":["https://openalex.org/W1419637810","https://openalex.org/W1502916507","https://openalex.org/W1618905105","https://openalex.org/W170686211","https://openalex.org/W1797054124","https://openalex.org/W1910300841","https://openalex.org/W1913628733","https://openalex.org/W1922288304","https://openalex.org/W1923967535","https://openalex.org/W1939575207","https://openalex.org/W1943357268","https://openalex.org/W1951304353","https://openalex.org/W1953590900","https://openalex.org/W1969198793","https://openalex.org/W1974647172","https://openalex.org/W1992371516","https://openalex.org/W2012833704","https://openalex.org/W2017814585","https://openalex.org/W2027668556","https://openalex.org/W2029205712","https://openalex.org/W2038233937","https://openalex.org/W2051666324","https://openalex.org/W2059139185","https://openalex.org/W2062510133","https://openalex.org/W2062671023","https://openalex.org/W2074668987","https://openalex.org/W2084363474","https://openalex.org/W2115733720","https://openalex.org/W2116750363","https://openalex.org/W2122205543","https://openalex.org/W2122528955","https://openalex.org/W2125378448","https://openalex.org/W2130903752","https://openalex.org/W2132069633","https://openalex.org/W2134514757","https://openalex.org/W2142881874","https://openalex.org/W2143321506","https://openalex.org/W2145065594","https://openalex.org/W2147717514","https://openalex.org/W2150307973","https://openalex.org/W2153273131","https://openalex.org/W2155893237","https://openalex.org/W2160160833","https://openalex.org/W2160831612","https://openalex.org/W2162006472","https://openalex.org/W2163250762","https://openalex.org/W2163605009","https://openalex.org/W2164338181","https://openalex.org/W2167057485","https://openalex.org/W2169177311","https://openalex.org/W2194321275","https://openalex.org/W2221852422","https://openalex.org/W2250384498","https://openalex.org/W2251864938","https://openalex.org/W2292992741","https://openalex.org/W2293597654","https://openalex.org/W2293824885","https://openalex.org/W2399033357","https://openalex.org/W2435450765","https://openalex.org/W2464915613","https://openalex.org/W2482980052","https://openalex.org/W2509619282","https://openalex.org/W2519631826","https://openalex.org/W2519882289","https://openalex.org/W2520150327","https://openalex.org/W2566038561","https://openalex.org/W2589226201","https://openalex.org/W2962810352","https://openalex.org/W2962817490","https://openalex.org/W2963078860","https://openalex.org/W2963341924","https://openalex.org/W2964275819","https://openalex.org/W3021931813","https://openalex.org/W3091905774","https://openalex.org/W3103722964","https://openalex.org/W3118608800","https://openalex.org/W4230940751","https://openalex.org/W4293407356"],"related_works":["https://openalex.org/W4318193138","https://openalex.org/W2975588143","https://openalex.org/W2921167217","https://openalex.org/W2293015666","https://openalex.org/W2158169729","https://openalex.org/W2120031510","https://openalex.org/W2086731314","https://openalex.org/W2065169802","https://openalex.org/W2000284985","https://openalex.org/W1554555624"],"abstract_inverted_index":{"Current":[0],"approaches":[1,148],"to":[2],"hash":[3,62,93,124],"based":[4,87],"semantic":[5],"image":[6,71,150],"retrieval":[7,151],"assume":[8],"a":[9,20,38,44,51,112,120,127,131],"set":[10,46],"of":[11,23,47,60,67,103,111,123],"pre-defined":[12],"categories":[13],"and":[14,73,75,145],"rely":[15],"on":[16,78,88,149],"supervised":[17,144],"learning":[18,69],"from":[19,99,130],"large":[21],"number":[22],"annotated":[24],"samples.":[25,134,156],"The":[26,135],"need":[27],"for":[28,126],"labeled":[29,133],"samples":[30],"limits":[31],"their":[32],"applicability":[33],"in":[34,36,64,70,107],"scenarios":[35],"which":[37],"user":[39],"provides":[40],"at":[41],"query":[42],"time":[43],"small":[45,154],"training":[48,155],"images":[49],"defining":[50],"customized":[52],"novel":[53,128],"category.":[54],"This":[55],"paper":[56],"addresses":[57],"the":[58,65,89,104,108],"problem":[59],"few-shot":[61],"learning,":[63],"spirit":[66],"one-shot":[68],"recognition":[72],"classification":[74],"early":[76],"work":[77],"locality":[79],"sensitive":[80],"hashing.":[81],"More":[82],"precisely,":[83],"our":[84],"approach":[85],"is":[86],"insight":[90],"that":[91],"universal":[92],"functions":[94],"can":[95,117],"be":[96],"learned":[97],"off-line":[98],"unlabeled":[100],"data":[101],"because":[102],"information":[105],"implicit":[106],"density":[109],"structure":[110],"discriminative":[113],"feature":[114],"space.":[115],"We":[116],"then":[118],"select":[119],"task-specific":[121],"combination":[122],"codes":[125],"category":[129],"few":[132],"resulting":[136],"unsupervised":[137,146],"generic":[138],"hashing":[139,147],"(UGH)":[140],"significantly":[141],"outperforms":[142],"current":[143],"tasks":[152],"with":[153]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W2773502880","counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2018,"cited_by_count":4}],"updated_date":"2024-12-03T20:03:22.703053","created_date":"2017-12-22"}