{"id":"https://openalex.org/W4399232302","doi":"https://doi.org/10.1142/s0218001424510170","title":"Dual-Pathway Deep Hashing-Based Adversarial Learning for Cross-Modal Retrieval","display_name":"Dual-Pathway Deep Hashing-Based Adversarial Learning for Cross-Modal Retrieval","publication_year":2024,"publication_date":"2024-05-31","ids":{"openalex":"https://openalex.org/W4399232302","doi":"https://doi.org/10.1142/s0218001424510170"},"language":"en","primary_location":{"id":"doi:10.1142/s0218001424510170","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218001424510170","pdf_url":null,"source":{"id":"https://openalex.org/S41486457","display_name":"International Journal of Pattern Recognition and Artificial Intelligence","issn_l":"0218-0014","issn":["0218-0014","1793-6381"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Pattern Recognition and Artificial 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/A5015243966","display_name":"Zheng Zhang","orcid":"https://orcid.org/0009-0005-8393-1496"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zheng Zhang","raw_affiliation_strings":["Resource Construction and Management Center, Henan Open University, Zhengzhou 450046, P.\u00a0R.\u00a0China"],"raw_orcid":"https://orcid.org/0009-0005-8393-1496","affiliations":[{"raw_affiliation_string":"Resource Construction and Management Center, Henan Open University, Zhengzhou 450046, P.\u00a0R.\u00a0China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014383426","display_name":"Yueyang Chen","orcid":"https://orcid.org/0000-0002-4390-550X"},"institutions":[{"id":"https://openalex.org/I8679417","display_name":"Hong Kong Metropolitan University","ror":"https://ror.org/0349bsm71","country_code":"HK","type":"education","lineage":["https://openalex.org/I8679417"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Yueyang Chen","raw_affiliation_strings":["Department of Information Engineering, Henan Open University, Zhengzhou 450046, P.\u00a0R.\u00a0China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Information Engineering, Henan Open University, Zhengzhou 450046, P.\u00a0R.\u00a0China","institution_ids":["https://openalex.org/I8679417"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100455234","display_name":"Tao Li","orcid":"https://orcid.org/0000-0001-6399-1479"},"institutions":[{"id":"https://openalex.org/I8679417","display_name":"Hong Kong Metropolitan University","ror":"https://ror.org/0349bsm71","country_code":"HK","type":"education","lineage":["https://openalex.org/I8679417"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Tao Li","raw_affiliation_strings":["Department of Information Engineering, Henan Open University, Zhengzhou 450046, P.\u00a0R.\u00a0China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Information Engineering, Henan Open University, Zhengzhou 450046, P.\u00a0R.\u00a0China","institution_ids":["https://openalex.org/I8679417"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5040382897","display_name":"Lishen Pei","orcid":"https://orcid.org/0000-0002-4663-870X"},"institutions":[{"id":"https://openalex.org/I7726996","display_name":"Henan University of Economic and Law","ror":"https://ror.org/000jtc944","country_code":"CN","type":"education","lineage":["https://openalex.org/I7726996"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lishen Pei","raw_affiliation_strings":["Department of Information Engineering, Henan University of Economics and Law, Zhengzhou 450046, P.\u00a0R.\u00a0China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Information Engineering, Henan University of Economics and Law, Zhengzhou 450046, P.\u00a0R.\u00a0China","institution_ids":["https://openalex.org/I7726996"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.06266443,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"38","issue":"09","first_page":null,"last_page":null},"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9970999956130981,"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":0.9955000281333923,"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":0.8721362352371216},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7943880558013916},{"id":"https://openalex.org/keywords/modal","display_name":"Modal","score":0.6174529194831848},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5842304229736328},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5621650218963623},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5575644373893738},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.5198960304260254},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.5016629695892334},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.4334371089935303},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.371337890625},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.36525481939315796},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.35999780893325806},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.1374797821044922}],"concepts":[{"id":"https://openalex.org/C99138194","wikidata":"https://www.wikidata.org/wiki/Q183427","display_name":"Hash function","level":2,"score":0.8721362352371216},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7943880558013916},{"id":"https://openalex.org/C71139939","wikidata":"https://www.wikidata.org/wiki/Q910194","display_name":"Modal","level":2,"score":0.6174529194831848},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5842304229736328},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5621650218963623},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5575644373893738},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.5198960304260254},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.5016629695892334},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.4334371089935303},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.371337890625},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.36525481939315796},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.35999780893325806},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.1374797821044922},{"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/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1142/s0218001424510170","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218001424510170","pdf_url":null,"source":{"id":"https://openalex.org/S41486457","display_name":"International Journal of Pattern Recognition and Artificial Intelligence","issn_l":"0218-0014","issn":["0218-0014","1793-6381"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Pattern Recognition and Artificial Intelligence","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W1970055505","https://openalex.org/W2007972815","https://openalex.org/W2032001302","https://openalex.org/W2155803963","https://openalex.org/W2194775991","https://openalex.org/W2203543769","https://openalex.org/W2210322478","https://openalex.org/W2216674905","https://openalex.org/W2266728343","https://openalex.org/W2337086876","https://openalex.org/W2346746376","https://openalex.org/W2559655401","https://openalex.org/W2604272474","https://openalex.org/W2604394529","https://openalex.org/W2604880013","https://openalex.org/W2765440071","https://openalex.org/W2795832645","https://openalex.org/W2895249671","https://openalex.org/W2949588459","https://openalex.org/W2962845008","https://openalex.org/W2963187862","https://openalex.org/W2967957126","https://openalex.org/W2990460876","https://openalex.org/W2999606372","https://openalex.org/W3020188837","https://openalex.org/W3033799362","https://openalex.org/W3035579671","https://openalex.org/W3035732386","https://openalex.org/W3108274592","https://openalex.org/W3118309101","https://openalex.org/W3175740157","https://openalex.org/W3176349206","https://openalex.org/W4206377746","https://openalex.org/W4212774754","https://openalex.org/W4249992252","https://openalex.org/W4387810249","https://openalex.org/W4390511653"],"related_works":["https://openalex.org/W2502115930","https://openalex.org/W2482350142","https://openalex.org/W4246396837","https://openalex.org/W3126451824","https://openalex.org/W1561927205","https://openalex.org/W3191453585","https://openalex.org/W4297672492","https://openalex.org/W4310988119","https://openalex.org/W4285226279","https://openalex.org/W4288019534"],"abstract_inverted_index":{"The":[0,56,123],"application":[1],"of":[2,58,84,120,145],"deep":[3,90],"hashing":[4,91,191],"methods":[5],"for":[6,94],"cross-modal":[7,85,140,169,190],"retrieval":[8],"has":[9],"seen":[10],"growing":[11],"interest":[12],"due":[13],"to":[14,52,80,116,138,171],"their":[15],"storage":[16],"efficiency":[17],"and":[18,87,167],"fast":[19],"query":[20],"execution.":[21],"However,":[22],"the":[23,27,82,100,118,133,143,147,151,164],"challenge":[24],"posed":[25],"by":[26],"\u201cheterogeneity":[28],"gap\u201d":[29],"in":[30],"multi-modal":[31],"datasets":[32,180],"cannot":[33],"be":[34],"understated.":[35],"To":[36],"address":[37],"this,":[38],"we":[39,107],"present":[40],"a":[41,65,89,110],"novel":[42],"framework":[43],"named":[44],"Dual-Pathway":[45],"Deep":[46],"Hashing-Based":[47],"Adversarial":[48],"Learning":[49],"(DP-DHAL),":[50],"engineered":[51],"surmount":[53],"this":[54],"challenge.":[55],"architecture":[57],"DP-DHAL":[59,124],"integrates":[60],"three":[61],"key":[62],"components:":[63],"(a)":[64],"dual-pathway":[66],"representation":[67,152],"learning":[68,153],"module":[69,78,92,154,166],"tasked":[70],"with":[71,142],"extracting":[72],"modality-specific":[73],"features;":[74,86],"(b)":[75],"an":[76,129],"adversarial":[77,130,134,165],"working":[79],"align":[81],"distributions":[83],"(c)":[88],"responsible":[93],"generating":[95],"hash":[96,174],"codes":[97],"that":[98,160,183],"uphold":[99],"similarity":[101],"relationships":[102],"across":[103],"different":[104],"modalities.":[105],"Additionally,":[106],"have":[108,181],"developed":[109],"unique":[111],"Hamming":[112],"triplet-margin":[113],"loss":[114],"function":[115],"refine":[117],"assessment":[119],"content":[121],"similarities.":[122],"model":[125],"is":[126,137,155],"trained":[127],"through":[128],"process":[131],"where":[132],"module\u2019s":[135],"goal":[136],"discern":[139],"features":[141],"aim":[144],"reducing":[146],"heterogeneity":[148],"gap.":[149],"Simultaneously,":[150],"focused":[156],"on":[157,178],"producing":[158],"representations":[159],"can":[161],"both":[162],"deceive":[163],"preserve":[168],"similarities":[170],"yield":[172],"distinctive":[173],"codes.":[175],"Comprehensive":[176],"experiments":[177],"varied":[179],"shown":[182],"our":[184],"proposed":[185],"method":[186],"outperforms":[187],"other":[188],"leading":[189],"techniques.":[192]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
