Duyệt theo Tác giả "Le, D. Dung"
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Enhancing few-shot image classification with cosine transformer
(2023-07-21)This paper addresses the few-shot image classification problem, where the classification task is performed on unlabeled query samples given a small amount of labeled support samples only. One major challenge of the few-shot ... -
Improving transformers with probabilistic attention keys
(2022-06-13)Multi-head attention is a driving force behind state-of-the-art transformers, which achieve remarkable performance across a variety of natural language processing (NLP) and computer vision tasks. It has been observed that ... -
VinDr-CXR: An open dataset of chest X-rays with radiologist’s annotations
(2022-03-20)Most of the existing chest X-ray datasets include labels from a list of findings without specifying their locations on the radiographs. This limits the development of machine learning algorithms for the detection and ...
