{"id":"https://openalex.org/W4287367114","doi":"https://doi.org/10.1109/tpami.2022.3218591","title":"Deep Learning for Instance Retrieval: A Survey","display_name":"Deep Learning for Instance Retrieval: A Survey","publication_year":2022,"publication_date":"2022-11-04","ids":{"openalex":"https://openalex.org/W4287367114","doi":"https://doi.org/10.1109/tpami.2022.3218591","pmid":"https://pubmed.ncbi.nlm.nih.gov/36318563"},"language":"en","primary_location":{"id":"doi:10.1109/tpami.2022.3218591","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2022.3218591","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://scholarlypublications.universiteitleiden.nl/access/item%3A4248373/view","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100344333","display_name":"Wei Chen","orcid":"https://orcid.org/0000-0001-7875-4548"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Wei Chen","raw_affiliation_strings":["Academy of Advanced Technology Research of Hunan, Changsha, China"],"affiliations":[{"raw_affiliation_string":"Academy of Advanced Technology Research of Hunan, Changsha, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004895426","display_name":"Yu Liu","orcid":"https://orcid.org/0000-0002-2067-9175"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu Liu","raw_affiliation_strings":["DUTRU International School of Information Science and Engineering, Dalian University of Technology, Dalian, China"],"affiliations":[{"raw_affiliation_string":"DUTRU International School of Information Science and Engineering, Dalian University of Technology, Dalian, China","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100442323","display_name":"Weiping Wang","orcid":"https://orcid.org/0000-0003-3237-8107"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Weiping Wang","raw_affiliation_strings":["Academy of Advanced Technology Research of Hunan, Changsha, China"],"affiliations":[{"raw_affiliation_string":"Academy of Advanced Technology Research of Hunan, Changsha, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047471651","display_name":"Erwin M. Bakker","orcid":"https://orcid.org/0000-0002-2624-5271"},"institutions":[{"id":"https://openalex.org/I121797337","display_name":"Leiden University","ror":"https://ror.org/027bh9e22","country_code":"NL","type":"education","lineage":["https://openalex.org/I121797337"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Erwin M. Bakker","raw_affiliation_strings":["Leiden Institute of Advanced Computer Science, Leiden University, Leiden, EZ, The Netherlands"],"affiliations":[{"raw_affiliation_string":"Leiden Institute of Advanced Computer Science, Leiden University, Leiden, EZ, The Netherlands","institution_ids":["https://openalex.org/I121797337"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5098400468","display_name":"Theodoros Georgiou","orcid":"https://orcid.org/0000-0002-3247-3107"},"institutions":[{"id":"https://openalex.org/I121797337","display_name":"Leiden University","ror":"https://ror.org/027bh9e22","country_code":"NL","type":"education","lineage":["https://openalex.org/I121797337"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Theodoros Georgiou","raw_affiliation_strings":["Leiden Institute of Advanced Computer Science, Leiden University, Leiden, EZ, The Netherlands"],"affiliations":[{"raw_affiliation_string":"Leiden Institute of Advanced Computer Science, Leiden University, Leiden, EZ, The Netherlands","institution_ids":["https://openalex.org/I121797337"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078015739","display_name":"Paul Fieguth","orcid":"https://orcid.org/0000-0001-7260-2260"},"institutions":[{"id":"https://openalex.org/I151746483","display_name":"University of Waterloo","ror":"https://ror.org/01aff2v68","country_code":"CA","type":"education","lineage":["https://openalex.org/I151746483"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Paul Fieguth","raw_affiliation_strings":["Department of Systems Design Engineering, University of Waterloo, Waterloo, ON, Canada"],"affiliations":[{"raw_affiliation_string":"Department of Systems Design Engineering, University of Waterloo, Waterloo, ON, Canada","institution_ids":["https://openalex.org/I151746483"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100418783","display_name":"Li Liu","orcid":"https://orcid.org/0000-0002-2011-2873"},"institutions":[{"id":"https://openalex.org/I98381234","display_name":"University of Oulu","ror":"https://ror.org/03yj89h83","country_code":"FI","type":"education","lineage":["https://openalex.org/I98381234"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Li Liu","raw_affiliation_strings":["Academy of Advanced Technology Research of Hunan, Changsha, China","Center for Machine Vision and Signal Analysis, University of Oulu, Oulu, Finland"],"affiliations":[{"raw_affiliation_string":"Academy of Advanced Technology Research of Hunan, Changsha, China","institution_ids":[]},{"raw_affiliation_string":"Center for Machine Vision and Signal Analysis, University of Oulu, Oulu, Finland","institution_ids":["https://openalex.org/I98381234"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5107877141","display_name":"Michael S. Lew","orcid":null},"institutions":[{"id":"https://openalex.org/I121797337","display_name":"Leiden University","ror":"https://ror.org/027bh9e22","country_code":"NL","type":"education","lineage":["https://openalex.org/I121797337"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Michael S. Lew","raw_affiliation_strings":["Leiden Institute of Advanced Computer Science, Leiden University, Leiden, EZ, The Netherlands"],"affiliations":[{"raw_affiliation_string":"Leiden Institute of Advanced Computer Science, Leiden University, Leiden, EZ, The Netherlands","institution_ids":["https://openalex.org/I121797337"]}]}],"institutions":[],"countries_distinct_count":4,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5100344333"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":16.6411,"has_fulltext":true,"cited_by_count":168,"citation_normalized_percentile":{"value":0.99574421,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":"45","issue":"6","first_page":"7270","last_page":"7292"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification 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/T10824","display_name":"Image Retrieval and Classification 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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9998000264167786,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9902999997138977,"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":0.8032233715057373},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6270017623901367},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.6027034521102905},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5970429182052612},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.59202641248703},{"id":"https://openalex.org/keywords/content-based-image-retrieval","display_name":"Content-based image retrieval","score":0.5678926110267639},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5088610649108887},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4892744719982147},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.46649882197380066},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.4208889603614807},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.4158038794994354},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.16694098711013794}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8032233715057373},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6270017623901367},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.6027034521102905},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5970429182052612},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.59202641248703},{"id":"https://openalex.org/C2780052074","wikidata":"https://www.wikidata.org/wiki/Q1128648","display_name":"Content-based image retrieval","level":4,"score":0.5678926110267639},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5088610649108887},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4892744719982147},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.46649882197380066},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4208889603614807},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.4158038794994354},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.16694098711013794},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/tpami.2022.3218591","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2022.3218591","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},{"id":"pmid:36318563","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/36318563","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on pattern analysis and machine intelligence","raw_type":null},{"id":"pmh:oai:scholarlypublications.universiteitleiden.nl:item_4248372","is_oa":true,"landing_page_url":"https://hdl.handle.net/1887/4248372","pdf_url":"https://scholarlypublications.universiteitleiden.nl/access/item%3A4248373/view","source":{"id":"https://openalex.org/S4306400850","display_name":"Leiden Repository (Leiden University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I121797337","host_organization_name":"Leiden University","host_organization_lineage":["https://openalex.org/I121797337"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","raw_type":"Text"},{"id":"pmh:oai:oulu.fi:nbnfi-fe2023061555340","is_oa":false,"landing_page_url":"http://urn.fi/urn:nbn:fi-fe2023061555340","pdf_url":null,"source":{"id":"https://openalex.org/S4306400284","display_name":"University of Oulu Repository (University of Oulu)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I98381234","host_organization_name":"University of Oulu","host_organization_lineage":["https://openalex.org/I98381234"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"pmh:oai:scholarlypublications.universiteitleiden.nl:item_4248372","is_oa":true,"landing_page_url":"https://hdl.handle.net/1887/4248372","pdf_url":"https://scholarlypublications.universiteitleiden.nl/access/item%3A4248373/view","source":{"id":"https://openalex.org/S4306400850","display_name":"Leiden Repository (Leiden University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I121797337","host_organization_name":"Leiden University","host_organization_lineage":["https://openalex.org/I121797337"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","raw_type":"Text"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1231421488","display_name":null,"funder_award_id":"under","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1761424634","display_name":null,"funder_award_id":"61872379","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2443591357","display_name":"LESLearn: Label, Energy and Sample Efficient Feature Representation and Learning in Computer Vision","funder_award_id":"331883","funder_id":"https://openalex.org/F4320321108","funder_display_name":"Academy of Finland"},{"id":"https://openalex.org/G2634789579","display_name":null,"funder_award_id":"62102061","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G391238517","display_name":null,"funder_award_id":", and","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4020255992","display_name":null,"funder_award_id":"Project","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5196624177","display_name":null,"funder_award_id":"61825305","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6264497851","display_name":null,"funder_award_id":"201703170183","funder_id":"https://openalex.org/F4320322725","funder_display_name":"China Scholarship Council"},{"id":"https://openalex.org/G7033253288","display_name":null,"funder_award_id":"Grants","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7713788294","display_name":null,"funder_award_id":"62022091","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8008312880","display_name":null,"funder_award_id":"331883","funder_id":"https://openalex.org/F4320321108","funder_display_name":"Academy of Finland"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321108","display_name":"Academy of Finland","ror":"https://ror.org/05k73zm37"},{"id":"https://openalex.org/F4320322725","display_name":"China Scholarship Council","ror":"https://ror.org/04atp4p48"}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4287367114.pdf"},"referenced_works_count":193,"referenced_works":["https://openalex.org/W7746136","https://openalex.org/W204268067","https://openalex.org/W639708223","https://openalex.org/W968110725","https://openalex.org/W1524680991","https://openalex.org/W1556531089","https://openalex.org/W1686810756","https://openalex.org/W1909011730","https://openalex.org/W1922773808","https://openalex.org/W1935207225","https://openalex.org/W1966385142","https://openalex.org/W1975517671","https://openalex.org/W1976794880","https://openalex.org/W1984309565","https://openalex.org/W1997360595","https://openalex.org/W2012592962","https://openalex.org/W2040002737","https://openalex.org/W2062118960","https://openalex.org/W2066142224","https://openalex.org/W2071011912","https://openalex.org/W2085261163","https://openalex.org/W2105853573","https://openalex.org/W2123229215","https://openalex.org/W2128017662","https://openalex.org/W2130660124","https://openalex.org/W2131846894","https://openalex.org/W2141362318","https://openalex.org/W2142992480","https://openalex.org/W2147069236","https://openalex.org/W2147238549","https://openalex.org/W2148809531","https://openalex.org/W2151103935","https://openalex.org/W2163605009","https://openalex.org/W2172188317","https://openalex.org/W2174726731","https://openalex.org/W2194775991","https://openalex.org/W2203224402","https://openalex.org/W2204750386","https://openalex.org/W2204975001","https://openalex.org/W2212363941","https://openalex.org/W2287558205","https://openalex.org/W2295537791","https://openalex.org/W2296096135","https://openalex.org/W2299456531","https://openalex.org/W2319888919","https://openalex.org/W2336302573","https://openalex.org/W2336803177","https://openalex.org/W2340690086","https://openalex.org/W2411707397","https://openalex.org/W2461073637","https://openalex.org/W2470322391","https://openalex.org/W2471768434","https://openalex.org/W2472899609","https://openalex.org/W2499468060","https://openalex.org/W2524324335","https://openalex.org/W2526782364","https://openalex.org/W2527197300","https://openalex.org/W2527468481","https://openalex.org/W2544587078","https://openalex.org/W2559091987","https://openalex.org/W2567001798","https://openalex.org/W2569318312","https://openalex.org/W2583409994","https://openalex.org/W2586937979","https://openalex.org/W2587224204","https://openalex.org/W2591614014","https://openalex.org/W2595774333","https://openalex.org/W2604390606","https://openalex.org/W2604652497","https://openalex.org/W2604669887","https://openalex.org/W2618039218","https://openalex.org/W2619432746","https://openalex.org/W2656999302","https://openalex.org/W2737075200","https://openalex.org/W2744926832","https://openalex.org/W2750727695","https://openalex.org/W2751825910","https://openalex.org/W2766455462","https://openalex.org/W2766630630","https://openalex.org/W2773163206","https://openalex.org/W2788585680","https://openalex.org/W2791153761","https://openalex.org/W2799712919","https://openalex.org/W2802862847","https://openalex.org/W2805820938","https://openalex.org/W2806301992","https://openalex.org/W2807929798","https://openalex.org/W2883725317","https://openalex.org/W2885563408","https://openalex.org/W2888503380","https://openalex.org/W2893240367","https://openalex.org/W2893440080","https://openalex.org/W2897078023","https://openalex.org/W2897134347","https://openalex.org/W2897464384","https://openalex.org/W2902101981","https://openalex.org/W2903106696","https://openalex.org/W2903925707","https://openalex.org/W2942105743","https://openalex.org/W2943563866","https://openalex.org/W2947054175","https://openalex.org/W2948322472","https://openalex.org/W2949578333","https://openalex.org/W2951019013","https://openalex.org/W2952239967","https://openalex.org/W2952898185","https://openalex.org/W2962684186","https://openalex.org/W2962740980","https://openalex.org/W2962941391","https://openalex.org/W2962984464","https://openalex.org/W2963125676","https://openalex.org/W2963129433","https://openalex.org/W2963154697","https://openalex.org/W2963173190","https://openalex.org/W2963414611","https://openalex.org/W2963436667","https://openalex.org/W2963542991","https://openalex.org/W2963557772","https://openalex.org/W2963588253","https://openalex.org/W2963694449","https://openalex.org/W2963740830","https://openalex.org/W2963835840","https://openalex.org/W2963916624","https://openalex.org/W2963928593","https://openalex.org/W2964015378","https://openalex.org/W2964157791","https://openalex.org/W2964271799","https://openalex.org/W2968625502","https://openalex.org/W2969985801","https://openalex.org/W2970885858","https://openalex.org/W2979458572","https://openalex.org/W2980061890","https://openalex.org/W2982524430","https://openalex.org/W2984942115","https://openalex.org/W2985491795","https://openalex.org/W2986968301","https://openalex.org/W2990519439","https://openalex.org/W2994988044","https://openalex.org/W2999657134","https://openalex.org/W3007952981","https://openalex.org/W3009756253","https://openalex.org/W3014343712","https://openalex.org/W3035305184","https://openalex.org/W3036268599","https://openalex.org/W3092167463","https://openalex.org/W3098656025","https://openalex.org/W3100623370","https://openalex.org/W3109485382","https://openalex.org/W3109684201","https://openalex.org/W3109923227","https://openalex.org/W3128099838","https://openalex.org/W3132455321","https://openalex.org/W3135279231","https://openalex.org/W3137228985","https://openalex.org/W3138366398","https://openalex.org/W3188851454","https://openalex.org/W3215397687","https://openalex.org/W4212867385","https://openalex.org/W4240108565","https://openalex.org/W4299518610","https://openalex.org/W4300485654","https://openalex.org/W4300560153","https://openalex.org/W6608313692","https://openalex.org/W6620707391","https://openalex.org/W6629368666","https://openalex.org/W6637373629","https://openalex.org/W6678131844","https://openalex.org/W6682132143","https://openalex.org/W6683949359","https://openalex.org/W6684191040","https://openalex.org/W6685522000","https://openalex.org/W6697161373","https://openalex.org/W6699920281","https://openalex.org/W6704508018","https://openalex.org/W6720829701","https://openalex.org/W6726873649","https://openalex.org/W6732770780","https://openalex.org/W6737962309","https://openalex.org/W6738345448","https://openalex.org/W6739531988","https://openalex.org/W6740731065","https://openalex.org/W6749542138","https://openalex.org/W6753000030","https://openalex.org/W6754592632","https://openalex.org/W6754803219","https://openalex.org/W6756861783","https://openalex.org/W6762704230","https://openalex.org/W6763437214","https://openalex.org/W6767375087","https://openalex.org/W6772344708","https://openalex.org/W6772513227","https://openalex.org/W6772750526","https://openalex.org/W6781565414"],"related_works":["https://openalex.org/W2900811989","https://openalex.org/W2905186525","https://openalex.org/W2044706866","https://openalex.org/W2746816529","https://openalex.org/W2341223103","https://openalex.org/W2024252608","https://openalex.org/W1499339903","https://openalex.org/W2031096531","https://openalex.org/W2080928936","https://openalex.org/W4367727948"],"abstract_inverted_index":{"In":[0,83],"recent":[1,88,126],"years":[2],"a":[3,52,122],"vast":[4],"amount":[5],"of":[6,28,39,80,125],"visual":[7],"content":[8,29,44],"has":[9,33,69,75],"been":[10],"generated":[11],"and":[12,24,31,60,74,100,112,115,138,148],"shared":[13],"from":[14],"many":[15],"fields,":[16],"such":[17],"as":[18],"social":[19],"media":[20],"platforms,":[21],"medical":[22],"imaging,":[23],"robotics.":[25],"This":[26],"abundance":[27],"creation":[30],"sharing":[32],"introduced":[34],"new":[35],"challenges,":[36,147],"particularly":[37],"that":[38,92],"searching":[40],"databases":[41],"for":[42,64],"similar":[43],"-":[45,51],"Content":[46],"Based":[47],"Image":[48],"Retrieval":[49],"(CBIR)":[50],"long-established":[53],"research":[54],"area":[55],"in":[56,72],"which":[57],"improved":[58],"efficiency":[59],"accuracy":[61],"are":[62,93],"needed":[63],"real-time":[65],"retrieval.":[66],"Artificial":[67],"intelligence":[68],"made":[70],"progress":[71],"CBIR":[73],"significantly":[76],"facilitated":[77],"the":[78,103,140],"process":[79],"instance":[81,89],"search.":[82],"this":[84],"survey":[85,104,120],"we":[86,129],"review":[87],"retrieval":[90],"works":[91],"developed":[94],"based":[95],"on":[96],"deep":[97,107],"learning":[98],"algorithms":[99],"techniques,":[101],"with":[102],"organized":[105],"by":[106],"feature":[108,110],"extraction,":[109],"embedding":[111],"aggregation":[113],"methods,":[114,127],"network":[116],"fine-tuning":[117],"strategies.":[118],"Our":[119],"considers":[121],"wide":[123],"variety":[124],"whereby":[128],"identify":[130],"milestone":[131],"work,":[132],"reveal":[133],"connections":[134],"among":[135],"various":[136],"methods":[137],"present":[139],"commonly":[141],"used":[142],"benchmarks,":[143],"evaluation":[144],"results,":[145],"common":[146],"propose":[149],"promising":[150],"future":[151],"directions.":[152]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":45},{"year":2024,"cited_by_count":70},{"year":2023,"cited_by_count":42},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":1}],"updated_date":"2026-04-15T08:11:43.952461","created_date":"2025-10-10T00:00:00"}