{"id":"https://openalex.org/W4415482392","doi":"https://doi.org/10.1109/tip.2025.3613942","title":"Enhanced Cross-Modal Hashing via Hybrid Distillation and Structural Refinement","display_name":"Enhanced Cross-Modal Hashing via Hybrid Distillation and Structural Refinement","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4415482392","doi":"https://doi.org/10.1109/tip.2025.3613942","pmid":"https://pubmed.ncbi.nlm.nih.gov/41129448"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2025.3613942","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2025.3613942","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"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 Image Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5100320553","display_name":"Xiaoqing Liu","orcid":"https://orcid.org/0000-0003-4256-4771"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoqing Liu","raw_affiliation_strings":["School of Future Technology, South China University of Technology, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-4256-4771","affiliations":[{"raw_affiliation_string":"School of Future Technology, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100701158","display_name":"Zhiwen Yu","orcid":"https://orcid.org/0000-0002-0935-5890"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiwen Yu","raw_affiliation_strings":["School of Computer Science and Engineering, South China University of Technology, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-0935-5890","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050942308","display_name":"Kaixiang Yang","orcid":"https://orcid.org/0000-0003-2180-2101"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kaixiang Yang","raw_affiliation_strings":["School of Computer Science and Engineering, South China University of Technology, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-2180-2101","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050817770","display_name":"Jun Yu","orcid":"https://orcid.org/0000-0003-1922-7283"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Yu","raw_affiliation_strings":["School of Intelligence Science and Engineering, Harbin Institute of Technology, Shenzhen, China","Department of Computer Science and Technology, Harbin Institute of Technology, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0003-1922-7283","affiliations":[{"raw_affiliation_string":"School of Intelligence Science and Engineering, Harbin Institute of Technology, Shenzhen, China","institution_ids":["https://openalex.org/I204983213"]},{"raw_affiliation_string":"Department of Computer Science and Technology, Harbin Institute of Technology, Shenzhen, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035422552","display_name":"Huanqiang Zeng","orcid":"https://orcid.org/0000-0002-2802-7745"},"institutions":[{"id":"https://openalex.org/I119045251","display_name":"Huaqiao University","ror":"https://ror.org/03frdh605","country_code":"CN","type":"education","lineage":["https://openalex.org/I119045251"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huanqiang Zeng","raw_affiliation_strings":["School of Engineering, Huaqiao University, Quanzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-2802-7745","affiliations":[{"raw_affiliation_string":"School of Engineering, Huaqiao University, Quanzhou, China","institution_ids":["https://openalex.org/I119045251"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5076968631","display_name":"C. L. Philip Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"C. L. Philip Chen","raw_affiliation_strings":["School of Computer Science and Engineering, South China University of Technology, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.1231,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.80101381,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":98},"biblio":{"volume":"34","issue":null,"first_page":"7138","last_page":"7151"},"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":0.9911999702453613,"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":0.9911999702453613,"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/T10901","display_name":"Advanced Data Compression Techniques","score":0.9498999714851379,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9369999766349792,"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/hash-function","display_name":"Hash function","score":0.7603999972343445},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.4950999915599823},{"id":"https://openalex.org/keywords/pointwise","display_name":"Pointwise","score":0.4616999924182892},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.44749999046325684},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.44350001215934753},{"id":"https://openalex.org/keywords/locality-sensitive-hashing","display_name":"Locality-sensitive hashing","score":0.38609999418258667},{"id":"https://openalex.org/keywords/semantic-similarity","display_name":"Semantic similarity","score":0.3743000030517578},{"id":"https://openalex.org/keywords/consistent-hashing","display_name":"Consistent hashing","score":0.3257000148296356}],"concepts":[{"id":"https://openalex.org/C99138194","wikidata":"https://www.wikidata.org/wiki/Q183427","display_name":"Hash function","level":2,"score":0.7603999972343445},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.741599977016449},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5296000242233276},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.4950999915599823},{"id":"https://openalex.org/C2777984123","wikidata":"https://www.wikidata.org/wiki/Q9248237","display_name":"Pointwise","level":2,"score":0.4616999924182892},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.44749999046325684},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.44350001215934753},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.397599995136261},{"id":"https://openalex.org/C74270461","wikidata":"https://www.wikidata.org/wiki/Q1625299","display_name":"Locality-sensitive hashing","level":4,"score":0.38609999418258667},{"id":"https://openalex.org/C130318100","wikidata":"https://www.wikidata.org/wiki/Q2268914","display_name":"Semantic similarity","level":2,"score":0.3743000030517578},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.35850000381469727},{"id":"https://openalex.org/C56856351","wikidata":"https://www.wikidata.org/wiki/Q1757218","display_name":"Consistent hashing","level":5,"score":0.3257000148296356},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.325300008058548},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.30000001192092896},{"id":"https://openalex.org/C116738811","wikidata":"https://www.wikidata.org/wiki/Q608751","display_name":"Nearest neighbor search","level":2,"score":0.296999990940094},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.29600000381469727},{"id":"https://openalex.org/C122907437","wikidata":"https://www.wikidata.org/wiki/Q5318999","display_name":"Dynamic perfect hashing","level":5,"score":0.2924000024795532},{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.29159998893737793},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.2833999991416931},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.2809999883174896},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.28029999136924744},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.2761000096797943},{"id":"https://openalex.org/C139502532","wikidata":"https://www.wikidata.org/wiki/Q1122090","display_name":"Computational intelligence","level":2,"score":0.25619998574256897},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.25290000438690186},{"id":"https://openalex.org/C67388219","wikidata":"https://www.wikidata.org/wiki/Q207440","display_name":"Hash table","level":3,"score":0.25279998779296875},{"id":"https://openalex.org/C162319229","wikidata":"https://www.wikidata.org/wiki/Q175263","display_name":"Data structure","level":2,"score":0.25209999084472656}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tip.2025.3613942","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2025.3613942","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"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 Image Processing","raw_type":"journal-article"},{"id":"pmid:41129448","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/41129448","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 image processing : a publication of the IEEE Signal Processing Society","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1893049888","display_name":null,"funder_award_id":"U21A20478","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2287686479","display_name":null,"funder_award_id":"2023YFA1011601","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G3386551668","display_name":null,"funder_award_id":"92467109","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6429208762","display_name":null,"funder_award_id":"2024A1515140137","funder_id":"https://openalex.org/F4320337111","funder_display_name":"Basic and Applied Basic Research Foundation of Guangdong Province"},{"id":"https://openalex.org/G645989761","display_name":null,"funder_award_id":"62106224","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8344851981","display_name":null,"funder_award_id":"62476101","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/F4320335777","display_name":"National Key Research and Development Program of China","ror":null},{"id":"https://openalex.org/F4320337111","display_name":"Basic and Applied Basic Research Foundation of Guangdong Province","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":49,"referenced_works":["https://openalex.org/W1821462560","https://openalex.org/W1910300841","https://openalex.org/W2007972815","https://openalex.org/W2049993534","https://openalex.org/W2089549033","https://openalex.org/W2100235303","https://openalex.org/W2108598243","https://openalex.org/W2155803963","https://openalex.org/W2266728343","https://openalex.org/W2337086876","https://openalex.org/W2345649690","https://openalex.org/W2549070563","https://openalex.org/W2560982456","https://openalex.org/W2591669147","https://openalex.org/W2725249286","https://openalex.org/W2748725735","https://openalex.org/W2749145308","https://openalex.org/W2752589725","https://openalex.org/W2795832645","https://openalex.org/W2802864907","https://openalex.org/W2808243243","https://openalex.org/W2808301810","https://openalex.org/W2903903916","https://openalex.org/W2945578092","https://openalex.org/W2962955826","https://openalex.org/W2976061040","https://openalex.org/W2981433620","https://openalex.org/W2981777726","https://openalex.org/W2982905682","https://openalex.org/W3003735286","https://openalex.org/W3028385587","https://openalex.org/W3034368386","https://openalex.org/W3035747010","https://openalex.org/W3040407270","https://openalex.org/W3049577264","https://openalex.org/W3088663932","https://openalex.org/W3107593279","https://openalex.org/W3122091215","https://openalex.org/W3175740157","https://openalex.org/W3185834143","https://openalex.org/W3192393047","https://openalex.org/W3217671320","https://openalex.org/W4225303410","https://openalex.org/W4321021417","https://openalex.org/W4323644273","https://openalex.org/W4362681485","https://openalex.org/W4390635893","https://openalex.org/W4393108955","https://openalex.org/W4406857691"],"related_works":[],"abstract_inverted_index":{"Since":[0],"cross-modal":[1,60,124,160,179],"hashing":[2,36,40,61,180],"requires":[3],"minimal":[4],"storage":[5],"and":[6,45,70,82,90,166,188,195],"computation,":[7],"it":[8],"is":[9,148,173],"becoming":[10],"increasingly":[11],"popular":[12],"with":[13,175],"the":[14,21,24,32,78,119,134,141,157,189],"exponential":[15],"growth":[16],"of":[17,26,34,80,130,136,145,159],"multimedia":[18],"content":[19],"on":[20,182],"internet.":[22],"However,":[23],"lack":[25],"accurate":[27,167],"supervisory":[28],"data":[29,49,132,147],"has":[30],"curtailed":[31],"effectiveness":[33],"unsupervised":[35],"techniques.":[37],"Conversely,":[38],"supervised":[39],"strategies":[41],"necessitate":[42],"considerable":[43],"human":[44],"financial":[46],"resources":[47],"for":[48],"annotation.":[50],"To":[51],"address":[52],"this":[53],"limitation,":[54],"we":[55,75,116],"propose":[56],"a":[57],"novel":[58],"semi-supervised":[59],"method":[62],"called":[63],"Enhanced":[64],"Cross-Modal":[65],"Hashing":[66],"via":[67],"Hybrid":[68],"Distillation":[69],"Structural":[71],"Refinement":[72],"(HDSR).":[73],"Specifically,":[74],"first":[76],"learn":[77],"features":[79],"inter-modal":[81,109],"inter-instance":[83],"similarity":[84,92,110],"relationships":[85],"through":[86,133,153],"pointwise":[87],"semantic":[88,120],"alignment":[89],"listwise":[91],"partial":[93],"order":[94],"learning,":[95],"respectively,":[96],"to":[97,111],"extract":[98],"refined":[99,142],"structural":[100,143],"representations":[101],"from":[102],"partially":[103],"labeled":[104,146],"data.":[105],"Secondly,":[106],"by":[107,163],"fusing":[108],"construct":[112],"higher-order":[113],"affinity":[114],"matrices,":[115],"precisely":[117],"delineate":[118],"correlation":[121],"information":[122],"across":[123],"data,":[125],"facilitating":[126],"stable":[127],"self-supervised":[128],"training":[129],"unlabeled":[131,151],"application":[135],"momentum":[137],"fusion":[138],"strategies.":[139],"Finally,":[140],"representation":[144],"transferred":[149],"into":[150],"branches":[152],"hybrid":[154],"distillation,":[155],"enhancing":[156],"performance":[158],"hash":[161,168],"learning":[162],"generating":[164],"compact":[165],"codes.":[169],"The":[170],"proposed":[171],"HDSR":[172],"compared":[174],"several":[176],"state-of-the-art":[177],"deep":[178],"methods":[181],"three":[183],"widely":[184],"used":[185],"benchmark":[186],"databases,":[187],"experimental":[190],"results":[191],"verify":[192],"its":[193],"efficiency":[194],"superiority.":[196]},"counts_by_year":[{"year":2026,"cited_by_count":2}],"updated_date":"2026-07-15T18:14:33.161393","created_date":"2025-10-24T00:00:00"}