{"id":"https://openalex.org/W3217671320","doi":"https://doi.org/10.1109/tmm.2021.3129623","title":"Semi-Supervised Knowledge Distillation for Cross-Modal Hashing","display_name":"Semi-Supervised Knowledge Distillation for Cross-Modal Hashing","publication_year":2021,"publication_date":"2021-11-22","ids":{"openalex":"https://openalex.org/W3217671320","doi":"https://doi.org/10.1109/tmm.2021.3129623","mag":"3217671320"},"language":"en","primary_location":{"id":"doi:10.1109/tmm.2021.3129623","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2021.3129623","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/A5040789962","display_name":"Mingyue Su","orcid":"https://orcid.org/0000-0002-6725-6401"},"institutions":[{"id":"https://openalex.org/I39333907","display_name":"Yanshan University","ror":"https://ror.org/02txfnf15","country_code":"CN","type":"education","lineage":["https://openalex.org/I39333907"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Mingyue Su","raw_affiliation_strings":["School of Information Science and Engineering, Hebei Key Laboratory of Information Transmission and Signal Processing, Yanshan University, Qinhuangdao, China"],"raw_orcid":"https://orcid.org/0000-0002-6725-6401","affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Hebei Key Laboratory of Information Transmission and Signal Processing, Yanshan University, Qinhuangdao, China","institution_ids":["https://openalex.org/I39333907"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080706260","display_name":"Guanghua Gu","orcid":null},"institutions":[{"id":"https://openalex.org/I39333907","display_name":"Yanshan University","ror":"https://ror.org/02txfnf15","country_code":"CN","type":"education","lineage":["https://openalex.org/I39333907"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guanghua Gu","raw_affiliation_strings":["School of Information Science and Engineering, Hebei Key Laboratory of Information Transmission and Signal Processing, Yanshan University, Qinhuangdao, China"],"raw_orcid":"https://orcid.org/0000-0002-9532-8273","affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Hebei Key Laboratory of Information Transmission and Signal Processing, Yanshan University, Qinhuangdao, China","institution_ids":["https://openalex.org/I39333907"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113971918","display_name":"Xianlong Ren","orcid":null},"institutions":[{"id":"https://openalex.org/I39333907","display_name":"Yanshan University","ror":"https://ror.org/02txfnf15","country_code":"CN","type":"education","lineage":["https://openalex.org/I39333907"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xianlong Ren","raw_affiliation_strings":["School of Information Science and Engineering, Hebei Key Laboratory of Information Transmission and Signal Processing, Yanshan University, Qinhuangdao, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Hebei Key Laboratory of Information Transmission and Signal Processing, Yanshan University, Qinhuangdao, China","institution_ids":["https://openalex.org/I39333907"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103789521","display_name":"Hao Fu","orcid":"https://orcid.org/0009-0003-0152-6127"},"institutions":[{"id":"https://openalex.org/I39333907","display_name":"Yanshan University","ror":"https://ror.org/02txfnf15","country_code":"CN","type":"education","lineage":["https://openalex.org/I39333907"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hao Fu","raw_affiliation_strings":["School of Information Science and Engineering, Hebei Key Laboratory of Information Transmission and Signal Processing, Yanshan University, Qinhuangdao, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Hebei Key Laboratory of Information Transmission and Signal Processing, Yanshan University, Qinhuangdao, China","institution_ids":["https://openalex.org/I39333907"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100362745","display_name":"Yao Zhao","orcid":"https://orcid.org/0000-0002-8581-9554"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yao Zhao","raw_affiliation_strings":["Institute of Information Science, Beijing Key Laboratory of Advanced Information Science and Network Technology, Beijing Jiaotong University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-8581-9554","affiliations":[{"raw_affiliation_string":"Institute of Information Science, Beijing Key Laboratory of Advanced Information Science and Network Technology, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5040789962"],"corresponding_institution_ids":["https://openalex.org/I39333907"],"apc_list":null,"apc_paid":null,"fwci":1.7476,"has_fulltext":false,"cited_by_count":36,"citation_normalized_percentile":{"value":0.87036469,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":"25","issue":null,"first_page":"662","last_page":"675"},"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9993000030517578,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9976000189781189,"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":0.8598978519439697},{"id":"https://openalex.org/keywords/hash-function","display_name":"Hash function","score":0.6914981603622437},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6502484083175659},{"id":"https://openalex.org/keywords/modal","display_name":"Modal","score":0.6005423069000244},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.5824787616729736},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5792437791824341},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5367001891136169},{"id":"https://openalex.org/keywords/modalities","display_name":"Modalities","score":0.4851396977901459},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.40338507294654846},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3720886707305908}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8598978519439697},{"id":"https://openalex.org/C99138194","wikidata":"https://www.wikidata.org/wiki/Q183427","display_name":"Hash function","level":2,"score":0.6914981603622437},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6502484083175659},{"id":"https://openalex.org/C71139939","wikidata":"https://www.wikidata.org/wiki/Q910194","display_name":"Modal","level":2,"score":0.6005423069000244},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.5824787616729736},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5792437791824341},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5367001891136169},{"id":"https://openalex.org/C2779903281","wikidata":"https://www.wikidata.org/wiki/Q6888026","display_name":"Modalities","level":2,"score":0.4851396977901459},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.40338507294654846},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3720886707305908},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"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/C188027245","wikidata":"https://www.wikidata.org/wiki/Q750446","display_name":"Polymer chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0},{"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/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tmm.2021.3129623","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2021.3129623","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":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.5899999737739563}],"awards":[{"id":"https://openalex.org/G4199957601","display_name":null,"funder_award_id":"62072394","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7174654955","display_name":null,"funder_award_id":"F2021203019","funder_id":"https://openalex.org/F4320322163","funder_display_name":"Natural Science Foundation of Hebei Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322163","display_name":"Natural Science Foundation of Hebei Province","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":46,"referenced_works":["https://openalex.org/W1522734439","https://openalex.org/W1821462560","https://openalex.org/W1970055505","https://openalex.org/W2013535308","https://openalex.org/W2016053056","https://openalex.org/W2022398331","https://openalex.org/W2049993534","https://openalex.org/W2071207147","https://openalex.org/W2093091163","https://openalex.org/W2155803963","https://openalex.org/W2186500555","https://openalex.org/W2203543769","https://openalex.org/W2266728343","https://openalex.org/W2388114291","https://openalex.org/W2512032049","https://openalex.org/W2606965845","https://openalex.org/W2625219738","https://openalex.org/W2725249286","https://openalex.org/W2739879705","https://openalex.org/W2748725735","https://openalex.org/W2759194679","https://openalex.org/W2799787995","https://openalex.org/W2889024947","https://openalex.org/W2903707108","https://openalex.org/W2953037339","https://openalex.org/W2960406243","https://openalex.org/W2962805368","https://openalex.org/W2963140444","https://openalex.org/W2963187862","https://openalex.org/W2963288100","https://openalex.org/W2963468606","https://openalex.org/W2964005298","https://openalex.org/W2979548969","https://openalex.org/W2982905682","https://openalex.org/W2999606372","https://openalex.org/W3003460937","https://openalex.org/W3014701888","https://openalex.org/W3034890701","https://openalex.org/W6608183366","https://openalex.org/W6638523607","https://openalex.org/W6712884540","https://openalex.org/W6718140377","https://openalex.org/W6732395776","https://openalex.org/W6733814495","https://openalex.org/W6751751081","https://openalex.org/W6842607031"],"related_works":["https://openalex.org/W2378211422","https://openalex.org/W4321353415","https://openalex.org/W2745001401","https://openalex.org/W2185469136","https://openalex.org/W2130974462","https://openalex.org/W2028665553","https://openalex.org/W2086519370","https://openalex.org/W4246352526","https://openalex.org/W4301143707","https://openalex.org/W2952745240"],"abstract_inverted_index":{"Deep":[0],"hashing":[1,22,54,88],"methods":[2,23,38,55],"have":[3,24],"achieved":[4,25],"tremendous":[5],"success":[6],"in":[7],"cross-modal":[8,21,43,53,87],"retrieval,":[9],"due":[10],"to":[11,33,49,90,116,125],"its":[12],"low":[13],"storage":[14],"consumption":[15],"and":[16,62],"fast":[17],"retrieval":[18],"speed.":[19],"Supervised":[20],"substantial":[26],"advancement":[27],"by":[28,104],"incorporating":[29],"semantic":[30],"information.":[31],"However,":[32],"a":[34,78,98,105],"great":[35],"extent,":[36],"supervised":[37,99],"rely":[39],"on":[40,142],"large-scale":[41],"labeled":[42],"training":[44],"data":[45],"which":[46,95,131],"are":[47],"laborious":[48],"obtain.":[50],"Moreover,":[51],"most":[52],"only":[56],"handle":[57],"two":[58,143],"modalities":[59,70],"of":[60,68,135],"image":[61],"text,":[63],"without":[64],"taking":[65],"the":[66,92,128,133,148,152],"scene":[67],"multiple":[69],"into":[71],"consideration.":[72],"In":[73],"this":[74],"paper,":[75],"we":[76,112,120],"propose":[77],"novel":[79],"semi-supervised":[80,83,106],"approach":[81],"called":[82],"knowledge":[84],"distillation":[85],"for":[86,108],"(SKDCH)":[89],"overcome":[91],"above-mentioned":[93],"challenges,":[94],"enables":[96],"guiding":[97],"method":[100,107],"using":[101],"outputs":[102],"produced":[103],"multimodality":[109],"retrieval.":[110],"Specifically,":[111],"utilize":[113],"teacher-student":[114],"optimization":[115],"propagate":[117],"knowledge.":[118],"Furthermore,":[119],"improves":[121],"triplet":[122],"ranking":[123],"loss":[124],"better":[126],"mitigate":[127],"heterogeneity":[129],"gap,":[130],"increases":[132],"discriminability":[134],"our":[136],"proposed":[137,149],"approach.":[138],"Extensive":[139],"experiments":[140],"executed":[141],"benchmark":[144],"datasets":[145],"validate":[146],"that":[147],"SKDCH":[150],"surpasses":[151],"state-of-the-art":[153],"methods.":[154]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":15},{"year":2024,"cited_by_count":12},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}