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

3 code implementations • 27 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.

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.

Home Action Genome: Cooperative Compositional Action Understanding

1 code implementation • CVPR 2021 • Nishant Rai, Haofeng Chen, Jingwei Ji, Rishi Desai, Kazuki Kozuka, Shun Ishizaka, Ehsan Adeli, Juan Carlos Niebles

However, there remains a lack of studies that extend action composition and leverage multiple viewpoints and multiple modalities of data for representation learning.

Action Understanding Few-Shot action recognition +3