no code implementations • 12 Sep 2021 • Ryoya Katafuchi, Terumasa Tokunaga
Through extensive experiments on PlantVillage, MVTec AD, and Cloud datasets, we demonstrate that the proposed layer-wise visual attention mechanism consistently boosts anomaly detection performances of an existing CNN model, even on imbalanced datasets.
no code implementations • 29 Nov 2020 • Ryoya Katafuchi, Terumasa Tokunaga
Although supervised image classifiers based on deep learning can be a powerful tool for plant disease diagnosis, they require a huge amount of labeled data.