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May, 2021
医学视觉问答的多元元模型量化
Multiple Meta-model Quantifying for Medical Visual Question Answering
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Tuong Do, Binh X. Nguyen, Erman Tjiputra, Minh Tran, Quang D. Tran...
TL;DR
本论文提出了一种新的多元元模型量化方法，能够有效地学习元注释和利用有意义的特征以处理医学可视问题回答任务中的数据限制问题。实验表明，该方法不需要外部数据即可训练元模型，并且在两个公共医学VQA数据集上得到比其他现有方法更为准确的结果。
Abstract
transfer learning
is an important step to extract meaningful features and overcome the data limitation in the
medical visual question answering
(VQA) task. However, most of the existing medical VQA methods rely o
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