Seunggi Park

Defect classification for steel surfaces under multiple illumination through cross-reconstruction

Seunggi Park, Sung In Cho

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A Survey of Unsupervised Learning-Based Out-of-Distribution Detection

H. S. Jo, Seunggi Park, Sung In Cho

Out-of-distribution (OOD) detection is the task of distinguishing abnormal data that lies outside the bounds of the training dataset's distribution. OOD detection plays a vital role in various applications of machine learning and deep learning, including intrusion detection in cybersecurity, diagnostics in …

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Not All Classes Stand on Same Embeddings: Calibrating a Semantic Distance with Metric Tensor

Jae Hyeon Park, Gyoomin Lee, Seunggi Park, Sung In Cho

The consistency training (CT)-based semi-supervised learning (SSL) bites state-of-the-art performance on SSL-based image classification. However, the existing CT-based SSL methods do not highlight the non-Euclidean characteristics and class-wise varieties of embedding spaces in an SSL model, thus they cannot fully utilize the …

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Human visual system-based perceptual Mura index for quantitative Mura evaluation

Jae Hyeon Park, Ju Hyun Kim, Ba Hung Ngo, Jung Eun Kwon et autres

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Analysis of Recent Trends in Image Matching Technology Based on Feature Extraction

Seunggi Park, Moon Ju Chae, Sung In Cho