{"id":"https://openalex.org/W4417131199","doi":"https://doi.org/10.1109/tetci.2025.3630464","title":"Deep Hamming Hashing Integrating Transformer and Attention Mechanism","display_name":"Deep Hamming Hashing Integrating Transformer and Attention Mechanism","publication_year":2025,"publication_date":"2025-12-08","ids":{"openalex":"https://openalex.org/W4417131199","doi":"https://doi.org/10.1109/tetci.2025.3630464"},"language":null,"primary_location":{"id":"doi:10.1109/tetci.2025.3630464","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tetci.2025.3630464","pdf_url":null,"source":{"id":"https://openalex.org/S4210210251","display_name":"IEEE Transactions on Emerging Topics in Computational Intelligence","issn_l":"2471-285X","issn":["2471-285X"],"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 Emerging Topics in Computational Intelligence","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/A5100382965","display_name":"Xinyi Wang","orcid":"https://orcid.org/0000-0003-3087-2638"},"institutions":[{"id":"https://openalex.org/I20942203","display_name":"Hainan University","ror":"https://ror.org/03q648j11","country_code":"CN","type":"education","lineage":["https://openalex.org/I20942203"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xinyi Wang","raw_affiliation_strings":["School of Information and Communication Engineering, Hainan University, Haikou, Hainan, China"],"affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering, Hainan University, Haikou, Hainan, China","institution_ids":["https://openalex.org/I20942203"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101794545","display_name":"Dongsheng Guo","orcid":"https://orcid.org/0000-0002-1700-1996"},"institutions":[{"id":"https://openalex.org/I20942203","display_name":"Hainan University","ror":"https://ror.org/03q648j11","country_code":"CN","type":"education","lineage":["https://openalex.org/I20942203"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dongsheng Guo","raw_affiliation_strings":["School of Information and Communication Engineering, Hainan University, Haikou, Hainan, China"],"affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering, Hainan University, Haikou, Hainan, China","institution_ids":["https://openalex.org/I20942203"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100414775","display_name":"Weidong Zhang","orcid":"https://orcid.org/0000-0002-4700-1276"},"institutions":[{"id":"https://openalex.org/I20942203","display_name":"Hainan University","ror":"https://ror.org/03q648j11","country_code":"CN","type":"education","lineage":["https://openalex.org/I20942203"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weidong Zhang","raw_affiliation_strings":["School of Information and Communication Engineering, Hainan University, Haikou, Hainan, China"],"affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering, Hainan University, Haikou, Hainan, China","institution_ids":["https://openalex.org/I20942203"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064564307","display_name":"Zehua Jia","orcid":"https://orcid.org/0000-0001-9936-5883"},"institutions":[{"id":"https://openalex.org/I20942203","display_name":"Hainan University","ror":"https://ror.org/03q648j11","country_code":"CN","type":"education","lineage":["https://openalex.org/I20942203"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zehua Jia","raw_affiliation_strings":["School of Information and Communication Engineering, Hainan University, Haikou, Hainan, China"],"affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering, Hainan University, Haikou, Hainan, China","institution_ids":["https://openalex.org/I20942203"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101260508","display_name":"Shan Xue","orcid":"https://orcid.org/0009-0009-9872-451X"},"institutions":[{"id":"https://openalex.org/I20942203","display_name":"Hainan University","ror":"https://ror.org/03q648j11","country_code":"CN","type":"education","lineage":["https://openalex.org/I20942203"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shan Xue","raw_affiliation_strings":["School of Information and Communication Engineering, Hainan University, Haikou, Hainan, China"],"affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering, Hainan University, Haikou, Hainan, China","institution_ids":["https://openalex.org/I20942203"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100398476","display_name":"Wenbo Zhang","orcid":"https://orcid.org/0009-0007-2549-2549"},"institutions":[{"id":"https://openalex.org/I20942203","display_name":"Hainan University","ror":"https://ror.org/03q648j11","country_code":"CN","type":"education","lineage":["https://openalex.org/I20942203"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenbo Zhang","raw_affiliation_strings":["School of Information and Communication Engineering, Hainan University, Haikou, Hainan, China"],"affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering, Hainan University, Haikou, Hainan, China","institution_ids":["https://openalex.org/I20942203"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5100382965"],"corresponding_institution_ids":["https://openalex.org/I20942203"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.40487805,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"10","issue":"2","first_page":"1365","last_page":"1375"},"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":0.7487000226974487,"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":0.7487000226974487,"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":0.012199999764561653,"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/T12702","display_name":"Brain Tumor Detection and Classification","score":0.011800000444054604,"subfield":{"id":"https://openalex.org/subfields/2808","display_name":"Neurology"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/hash-function","display_name":"Hash function","score":0.7455999851226807},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6173999905586243},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.604200005531311},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5705999732017517},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5009999871253967},{"id":"https://openalex.org/keywords/hamming-distance","display_name":"Hamming distance","score":0.4772000014781952},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.4745999872684479},{"id":"https://openalex.org/keywords/feature-hashing","display_name":"Feature hashing","score":0.44449999928474426},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.413100004196167}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7534000277519226},{"id":"https://openalex.org/C99138194","wikidata":"https://www.wikidata.org/wiki/Q183427","display_name":"Hash function","level":2,"score":0.7455999851226807},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6312000155448914},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6173999905586243},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.604200005531311},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5705999732017517},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5009999871253967},{"id":"https://openalex.org/C193319292","wikidata":"https://www.wikidata.org/wiki/Q272172","display_name":"Hamming distance","level":2,"score":0.4772000014781952},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.4745999872684479},{"id":"https://openalex.org/C133667856","wikidata":"https://www.wikidata.org/wiki/Q5439682","display_name":"Feature hashing","level":5,"score":0.44449999928474426},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.413100004196167},{"id":"https://openalex.org/C63435697","wikidata":"https://www.wikidata.org/wiki/Q864135","display_name":"Binary code","level":3,"score":0.3736000061035156},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.36160001158714294},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.361299991607666},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3393999934196472},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3345000147819519},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.33070001006126404},{"id":"https://openalex.org/C67388219","wikidata":"https://www.wikidata.org/wiki/Q207440","display_name":"Hash table","level":3,"score":0.3102000057697296},{"id":"https://openalex.org/C88796919","wikidata":"https://www.wikidata.org/wiki/Q1142907","display_name":"Backbone network","level":2,"score":0.3091000020503998},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.3077000081539154},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.2989000082015991},{"id":"https://openalex.org/C74270461","wikidata":"https://www.wikidata.org/wiki/Q1625299","display_name":"Locality-sensitive hashing","level":4,"score":0.29109999537467957},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2906000018119812},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.28780001401901245},{"id":"https://openalex.org/C73150493","wikidata":"https://www.wikidata.org/wiki/Q853922","display_name":"Hamming code","level":4,"score":0.26930001378059387},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.265500009059906},{"id":"https://openalex.org/C122907437","wikidata":"https://www.wikidata.org/wiki/Q5318999","display_name":"Dynamic perfect hashing","level":5,"score":0.2644999921321869},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.250900000333786}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tetci.2025.3630464","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tetci.2025.3630464","pdf_url":null,"source":{"id":"https://openalex.org/S4210210251","display_name":"IEEE Transactions on Emerging Topics in Computational Intelligence","issn_l":"2471-285X","issn":["2471-285X"],"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 Emerging Topics in Computational Intelligence","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Recently,":[0],"image":[1,143],"retrieval":[2],"from":[3],"massive":[4],"images":[5],"has":[6],"been":[7],"considered":[8],"as":[9,25,88],"a":[10,70,94,104],"crucial":[11],"research":[12],"topic.":[13],"Current":[14],"deep":[15,32,72,105],"hashing":[16,33,64,73,106,135],"methods":[17,34],"mostly":[18],"rely":[19],"on":[20,115,142],"convolutional":[21],"neural":[22],"network":[23,91],"(CNN)":[24],"the":[26,30,46,53,60,84,89,116,124,139],"backbone":[27,90],"network.":[28],"However,":[29],"CNN-based":[31],"require":[35],"multiple":[36],"convolution":[37],"operations":[38],"to":[39,45],"capture":[40,109],"global":[41],"information,":[42],"which":[43],"lead":[44],"loss":[47],"of":[48,55,62],"many":[49],"shallow-level":[50],"features":[51],"in":[52,79],"process":[54],"feature":[56],"extraction":[57],"and":[58,77,92,119],"affect":[59],"accuracy":[61],"binary":[63],"codes.":[65],"To":[66],"address":[67],"such":[68],"limitations,":[69],"new":[71],"method":[74,107,126],"is":[75],"proposed":[76,125],"studied":[78],"this":[80],"paper":[81],"by":[82],"adopting":[83],"vision":[85],"transformer":[86],"model":[87],"designing":[93],"spatial":[95],"reduction":[96],"layer":[97],"with":[98],"channel":[99],"attention":[100],"mechanism":[101],"fused.":[102],"Such":[103],"can":[108],"long-range":[110],"dependencies":[111],"effectively.":[112],"The":[113],"experiments":[114],"CIFAR-10,":[117],"NUSWIDE":[118],"ImageNet":[120],"datasets":[121],"indicate":[122],"that":[123],"achieves":[127],"higher":[128],"mean":[129],"average":[130],"precision":[131],"than":[132],"other":[133],"state-of-the-art":[134],"methods,":[136],"thereby":[137],"confirming":[138],"outstanding":[140],"performance":[141],"retrieval.":[144]},"counts_by_year":[],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-12-08T00:00:00"}