{"id":"https://openalex.org/W7131824488","doi":"https://doi.org/10.48550/arxiv.2602.22678","title":"ViCLIP-OT: The First Foundation Vision-Language Model for Vietnamese Image-Text Retrieval with Optimal Transport","display_name":"ViCLIP-OT: The First Foundation Vision-Language Model for Vietnamese Image-Text Retrieval with Optimal Transport","publication_year":2026,"publication_date":"2026-02-26","ids":{"openalex":"https://openalex.org/W7131824488","doi":"https://doi.org/10.48550/arxiv.2602.22678"},"language":null,"primary_location":{"id":"pmh:doi:10.48550/arxiv.2602.22678","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"publisher-specific-oa","license_id":"https://openalex.org/licenses/publisher-specific-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":null,"any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5114094720","display_name":"Quoc-Khang Tran","orcid":"https://orcid.org/0009-0000-2715-7647"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Tran, Quoc-Khang","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103912178","display_name":"Minh Hieu Nguyen","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Nguyen, Minh-Thien","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5113776210","display_name":"Nguyen-Khang Pham","orcid":"https://orcid.org/0009-0005-6761-1636"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Pham, Nguyen-Khang","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5114094720"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9587000012397766,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9587000012397766,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.007199999876320362,"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":0.004600000102072954,"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/vietnamese","display_name":"Vietnamese","score":0.7924000024795532},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.6812000274658203},{"id":"https://openalex.org/keywords/modality","display_name":"Modality (human\u2013computer interaction)","score":0.5820000171661377},{"id":"https://openalex.org/keywords/component","display_name":"Component (thermodynamics)","score":0.5655999779701233},{"id":"https://openalex.org/keywords/foundation","display_name":"Foundation (evidence)","score":0.5127000212669373}],"concepts":[{"id":"https://openalex.org/C103621254","wikidata":"https://www.wikidata.org/wiki/Q9199","display_name":"Vietnamese","level":2,"score":0.7924000024795532},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7105000019073486},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.6812000274658203},{"id":"https://openalex.org/C2780226545","wikidata":"https://www.wikidata.org/wiki/Q6888030","display_name":"Modality (human\u2013computer interaction)","level":2,"score":0.5820000171661377},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.5655999779701233},{"id":"https://openalex.org/C2780966255","wikidata":"https://www.wikidata.org/wiki/Q5474306","display_name":"Foundation (evidence)","level":2,"score":0.5127000212669373},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.5115000009536743},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46869999170303345},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.43050000071525574},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4011000096797943},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.3546000123023987},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3488999903202057},{"id":"https://openalex.org/C49774154","wikidata":"https://www.wikidata.org/wiki/Q131765","display_name":"Multimedia","level":1,"score":0.2554999887943268}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:doi:10.48550/arxiv.2602.22678","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"publisher-specific-oa","license_id":"https://openalex.org/licenses/publisher-specific-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},{"id":"doi:10.48550/arxiv.2602.22678","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2602.22678","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:doi:10.48550/arxiv.2602.22678","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"publisher-specific-oa","license_id":"https://openalex.org/licenses/publisher-specific-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},"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":{"Image-text":[0],"retrieval":[1,147,157],"has":[2],"become":[3],"a":[4,34,52],"fundamental":[5],"component":[6],"in":[7,88,148,159],"intelligent":[8,155],"multimedia":[9,156],"systems;":[10],"however,":[11],"most":[12],"existing":[13],"vision-language":[14,36],"models":[15],"are":[16],"optimized":[17],"for":[18,24,40,145,154],"highresource":[19],"languages":[20],"and":[21,64,77,85,91,129,142,161],"remain":[22],"suboptimal":[23],"low-resource":[25,149],"settings":[26],"such":[27],"as":[28],"Vietnamese.":[29],"This":[30],"work":[31],"introduces":[32],"ViCLIP-OT,":[33],"foundation":[35],"model":[37,97],"specifically":[38],"designed":[39],"Vietnamese":[41,73,160],"image-text":[42],"retrieval.":[43],"The":[44,133],"proposed":[45],"framework":[46],"integrates":[47],"CLIP-style":[48],"contrastive":[49],"learning":[50],"with":[51],"Similarity-Graph":[53],"Regularized":[54],"Optimal":[55],"Transport":[56],"(SIGROT)":[57],"loss":[58],"to":[59],"enhance":[60],"global":[61],"cross-modal":[62,146],"consistency":[63],"mitigate":[65],"modality":[66,131],"gap":[67],"issues.":[68],"Extensive":[69],"experiments":[70],"on":[71,114],"three":[72],"benchmarks":[74],"(UITOpenViIC,":[75],"KTVIC,":[76],"Crossmodal-3600)":[78],"demonstrate":[79],"that":[80,136],"ViCLIP-OT":[81],"consistently":[82],"outperforms":[83],"CLIP":[84,106,118],"SigLIP":[86],"baselines":[87],"both":[89],"in-domain":[90],"zero-shot":[92,112],"settings.":[93],"On":[94],"UIT-OpenViIC,":[95],"the":[96],"achieves":[98],"an":[99,140],"average":[100],"Recall@K":[101],"of":[102],"67.34%,":[103],"improving":[104],"upon":[105],"by":[107,119],"5.75":[108],"percentage":[109,121],"points.":[110,122],"In":[111],"evaluation":[113],"Crossmodal-3600,":[115],"ViCLIPOT":[116],"surpasses":[117],"11.72":[120],"Embedding-space":[123],"analysis":[124],"further":[125],"confirms":[126],"improved":[127],"alignment":[128],"reduced":[130],"gap.":[132],"results":[134],"indicate":[135],"integrating":[137],"SIGROT":[138],"provides":[139],"effective":[141],"scalable":[143],"strategy":[144],"languages,":[150],"offering":[151],"practical":[152],"implications":[153],"systems":[158],"other":[162],"underrepresented":[163],"linguistic":[164],"contexts.":[165]},"counts_by_year":[],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2026-02-28T00:00:00"}