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.
Ranked #13 on Anomaly Detection on VisA (Detection AUROC metric)
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.
Ranked #1 on Video Classification on Home Action Genome
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.