An Effective Med-VQA Method Using a Transformer with Weights Fusion of Multiple Fine-Tuned Models
An Effective Med-VQA Method Using a Transformer with Weights Fusion of Multiple Fine-Tuned Models
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Basel: MDPI AG
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English
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Basel: MDPI AG
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Visual question answering (VQA) is a task that generates or predicts an answer to a question in human language about visual images. VQA is an active field combining two AI branches: NLP and computer vision. VQA in the medical field is still at an early stage, and it needs vast efforts and exploration to reach practical usage. This paper proposes tw...
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An Effective Med-VQA Method Using a Transformer with Weights Fusion of Multiple Fine-Tuned Models
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TN_cdi_doaj_primary_oai_doaj_org_article_ff0490f17ed942fba346050566dbece1
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_ff0490f17ed942fba346050566dbece1
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ISSN
2076-3417
E-ISSN
2076-3417
DOI
10.3390/app13179735
