Search Results for author: Shun Ishizaka

Found 3 papers, 3 papers with code

CFLOW-AD: Real-Time Unsupervised Anomaly Detection with Localization via Conditional Normalizing Flows

3 code implementations27 Jul 2021 Denis Gudovskiy, Shun Ishizaka, Kazuki Kozuka

Our approach results in a computationally and memory-efficient model: CFLOW-AD is faster and smaller by a factor of 10x than prior state-of-the-art with the same input setting.

Ranked #19 on Anomaly Detection on MVTec AD (using extra training data)

Unsupervised Anomaly Detection

AutoDO: Robust AutoAugment for Biased Data with Label Noise via Scalable Probabilistic Implicit Differentiation

1 code implementation CVPR 2021 Denis Gudovskiy, Luca Rigazio, Shun Ishizaka, Kazuki Kozuka, Sotaro Tsukizawa

To overcome these limitations, we reformulate AutoAugment as a generalized automated dataset optimization (AutoDO) task that minimizes the distribution shift between test data and distorted train dataset.

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