{"id":"https://openalex.org/W4386280829","doi":"https://doi.org/10.1109/tmm.2023.3310333","title":"Self-Paced Relational Contrastive Hashing for Large-Scale Image Retrieval","display_name":"Self-Paced Relational Contrastive Hashing for Large-Scale Image Retrieval","publication_year":2023,"publication_date":"2023-08-30","ids":{"openalex":"https://openalex.org/W4386280829","doi":"https://doi.org/10.1109/tmm.2023.3310333"},"language":"en","primary_location":{"id":"doi:10.1109/tmm.2023.3310333","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2023.3310333","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["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 Multimedia","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/A5101970303","display_name":"Zhengyun Lu","orcid":null},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhengyun Lu","raw_affiliation_strings":["School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China"],"raw_orcid":"https://orcid.org/0009-0000-7821-6950","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101923561","display_name":"Lu Jin","orcid":"https://orcid.org/0000-0002-2964-426X"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lu Jin","raw_affiliation_strings":["School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0002-2964-426X","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017096005","display_name":"Zechao Li","orcid":"https://orcid.org/0000-0002-5341-5985"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zechao Li","raw_affiliation_strings":["School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0002-5341-5985","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5035112538","display_name":"Jinhui Tang","orcid":"https://orcid.org/0000-0001-9008-222X"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinhui Tang","raw_affiliation_strings":["School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0001-9008-222X","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I36399199"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I36399199"],"apc_list":{"value":2345,"currency":"USD","value_usd":2345},"apc_paid":null,"fwci":2.2863,"has_fulltext":false,"cited_by_count":24,"citation_normalized_percentile":{"value":0.89457797,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":"26","issue":null,"first_page":"3392","last_page":"3404"},"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9983999729156494,"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":0.9897000193595886,"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":0.8746182918548584},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.6370159983634949},{"id":"https://openalex.org/keywords/hash-function","display_name":"Hash function","score":0.5563080310821533},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5423437356948853},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.44341447949409485},{"id":"https://openalex.org/keywords/relational-database","display_name":"Relational database","score":0.4327229857444763},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4251709580421448},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4076937735080719},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.4048527479171753},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.402309775352478},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.09765669703483582}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8746182918548584},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.6370159983634949},{"id":"https://openalex.org/C99138194","wikidata":"https://www.wikidata.org/wiki/Q183427","display_name":"Hash function","level":2,"score":0.5563080310821533},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5423437356948853},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.44341447949409485},{"id":"https://openalex.org/C5655090","wikidata":"https://www.wikidata.org/wiki/Q192588","display_name":"Relational database","level":2,"score":0.4327229857444763},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4251709580421448},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4076937735080719},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4048527479171753},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.402309775352478},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.09765669703483582},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tmm.2023.3310333","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2023.3310333","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["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 Multimedia","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7099999785423279,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[{"id":"https://openalex.org/G3355207257","display_name":null,"funder_award_id":"30923010915","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G5710919167","display_name":null,"funder_award_id":"62102181","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7975452587","display_name":null,"funder_award_id":"U20B2064","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":69,"referenced_works":["https://openalex.org/W1861492603","https://openalex.org/W1910300841","https://openalex.org/W1939575207","https://openalex.org/W1950117310","https://openalex.org/W1951304353","https://openalex.org/W1974647172","https://openalex.org/W1997107867","https://openalex.org/W2007972815","https://openalex.org/W2117539524","https://openalex.org/W2171790913","https://openalex.org/W2464915613","https://openalex.org/W2565611351","https://openalex.org/W2575032143","https://openalex.org/W2621147812","https://openalex.org/W2624945720","https://openalex.org/W2751486419","https://openalex.org/W2768428796","https://openalex.org/W2793456900","https://openalex.org/W2798834175","https://openalex.org/W2801086478","https://openalex.org/W2801765193","https://openalex.org/W2832876791","https://openalex.org/W2887842788","https://openalex.org/W2889081631","https://openalex.org/W2894879246","https://openalex.org/W2919115771","https://openalex.org/W2963187862","https://openalex.org/W2964158883","https://openalex.org/W2964280870","https://openalex.org/W2966218308","https://openalex.org/W2972421866","https://openalex.org/W2981076146","https://openalex.org/W2997729898","https://openalex.org/W3003460937","https://openalex.org/W3009561768","https://openalex.org/W3025665229","https://openalex.org/W3027918202","https://openalex.org/W3034239448","https://openalex.org/W3034315422","https://openalex.org/W3104374384","https://openalex.org/W3113055207","https://openalex.org/W3118608800","https://openalex.org/W3145450063","https://openalex.org/W3188087362","https://openalex.org/W3201037053","https://openalex.org/W4200200221","https://openalex.org/W4214737784","https://openalex.org/W4282937884","https://openalex.org/W4313153605","https://openalex.org/W4320005661","https://openalex.org/W4321608135","https://openalex.org/W6675038308","https://openalex.org/W6676931166","https://openalex.org/W6679390333","https://openalex.org/W6688844344","https://openalex.org/W6697214482","https://openalex.org/W6753772092","https://openalex.org/W6754813029","https://openalex.org/W6767513282","https://openalex.org/W6770717842","https://openalex.org/W6774670964","https://openalex.org/W6776700526","https://openalex.org/W6779977557","https://openalex.org/W6779997284","https://openalex.org/W6784909784","https://openalex.org/W6787972765","https://openalex.org/W6791742336","https://openalex.org/W6801929243","https://openalex.org/W6810258035"],"related_works":["https://openalex.org/W2159024673","https://openalex.org/W3001987467","https://openalex.org/W2968165261","https://openalex.org/W1603161560","https://openalex.org/W1587382781","https://openalex.org/W2154676777","https://openalex.org/W2950663250","https://openalex.org/W2133252868","https://openalex.org/W2404914496","https://openalex.org/W3210945214"],"abstract_inverted_index":{"Supervised":[0],"deep":[1,185,229],"hashing":[2],"aims":[3],"to":[4,21,29,70,109,123,158,172,175],"learn":[5,13,190],"hash":[6,14,186,230],"functions":[7,15],"using":[8,78],"label":[9],"information.":[10],"Existing":[11],"methods":[12,36],"by":[16,141],"employing":[17],"either":[18],"pairwise/triplet":[19],"loss":[20,28,98,130],"explore":[22,30],"the":[23,31,38,41,48,80,87,93,119,127,132,162,179,194,226],"point-to-point":[24,81,136],"relation":[25],"or":[26],"center":[27],"point-to-class":[32,83,139],"relation.":[33],"However,":[34],"these":[35,159],"overlook":[37],"collaboration":[39],"between":[40,135],"above":[42,88],"two":[43,89],"kinds":[44,90],"of":[45,50,91,197],"relations":[46],"and":[47,82,114,138,178,199],"hardness":[49],"pairs.":[51,209],"In":[52,182],"this":[53,183],"work,":[54],"we":[55],"propose":[56],"a":[57,66,149],"novel":[58],"Self-Paced":[59],"Relational":[60,94],"Contrastive":[61,95],"Hashing":[62],"(SPRCH)":[63],"method":[64,223],"with":[65],"single":[67],"learning":[68,151,167],"objective":[69],"capture":[71],"valuable":[72,204],"discriminative":[73,205],"information":[74,206],"from":[75,193,207],"hard":[76,147,208],"pairs":[77,137,140,160,173,198],"both":[79],"relations.":[84],"To":[85,145],"exploit":[86],"relations,":[92],"Hash":[96],"(RCH)":[97],"is":[99,107,153],"proposed,":[100,154],"which":[101],"ensures":[102],"that":[103,219],"each":[104],"data":[105,112],"anchor":[106],"closer":[108],"all":[110],"similar":[111],"points":[113],"corresponding":[115],"class":[116],"centers":[117],"in":[118,161],"Hamming":[120],"space":[121],"compared":[122],"dissimilar":[124],"ones.":[125],"Moreover,":[126],"proposed":[128,221],"RCH":[129,163],"reduces":[131],"drastic":[133],"imbalance":[134],"rebalancing":[142],"their":[143,176],"weights.":[144],"prioritize":[146],"pairs,":[148],"self-paced":[150,166],"schedule":[152,168],"assigning":[155],"higher":[156],"weights":[157,171],"loss.":[164],"The":[165],"assigns":[169],"dynamic":[170],"according":[174],"similarities":[177],"training":[180],"process.":[181],"way,":[184],"model":[187],"can":[188],"initially":[189],"universal":[191],"patterns":[192],"entire":[195],"set":[196],"then":[200],"gradually":[201],"acquire":[202],"more":[203],"Experimental":[210],"results":[211],"on":[212],"four":[213],"widely-used":[214],"image":[215],"retrieval":[216],"datasets":[217],"demonstrate":[218],"our":[220],"SPRCH":[222],"significantly":[224],"outperforms":[225],"state-of-the-art":[227],"supervised":[228],"methods.":[231]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":17},{"year":2024,"cited_by_count":4}],"updated_date":"2026-08-28T12:50:07.497085","created_date":"2025-10-10T00:00:00"}
