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cs.CV2023
Self-accumulative Vision Transformer for Bone Age Assessment Using the Sauvegrain Method
Hong-Jun Choi, Dongbin Na, Kyungjin Cho +3
This study presents a novel approach to bone age assessment (BAA) using a multi-view, multi-task classification model based on the Sauvegrain method. A straightforward solution to…
cs.CV2022
Key Feature Replacement of In-Distribution Samples for Out-of-Distribution Detection
Jaeyoung Kim, Seo Taek Kong, Dongbin Na +1
Out-of-distribution (OOD) detection can be used in deep learning-based applications to reject outlier samples from being unreliably classified by deep neural networks. Learning to…
cs.CV2022
Unrestricted Black-box Adversarial Attack Using GAN with Limited Queries
Dongbin Na, Sangwoo Ji, Jong Kim
Adversarial examples are inputs intentionally generated for fooling a deep neural network. Recent studies have proposed unrestricted adversarial attacks that are not norm-constrain…