8 citations · 8 across the 3 of their papers we have counts for
3 papers
cs.CV2023
Enlarged Large Margin Loss for Imbalanced Classification
Sota Kato, Kazuhiro Hotta
We propose a novel loss function for imbalanced classification. LDAM loss, which minimizes a margin-based generalization bound, is widely utilized for class-imbalanced image classi…
eess.IV2021
Automatic Preprocessing and Ensemble Learning for Low Quality Cell Image Segmentation
Sota Kato, Kazuhiro Hotta
We propose an automatic preprocessing and ensemble learning for segmentation of cell images with low quality. It is difficult to capture cells with strong light. Therefore, the mic…
cs.CV2021★ 8 cited
MSE Loss with Outlying Label for Imbalanced Classification
Sota Kato, Kazuhiro Hotta
In this paper, we propose mean squared error (MSE) loss with outlying label for class imbalanced classification. Cross entropy (CE) loss, which is widely used for image recognition…