2 citations · 10 across the 8 of their papers we have counts for
8 papers
GRASP EARTH: Intuitive Software for Discovering Changes on the Planet
Waku Hatakeyama, Shirou Kawakita, Ryohei Izawa +1
Detecting changes on the Earth, such as urban development, deforestation, or natural disaster, is one of the research fields that is attracting a great deal of attention. One promi…
Density Fixing: Simple yet Effective Regularization Method based on the Class Prior
Masanari Kimura, Ryohei Izawa
Machine learning models suffer from overfitting, which is caused by a lack of labeled data. To tackle this problem, we proposed a framework of regularization methods, called densit…
Large-Scale Landslides Detection from Satellite Images with Incomplete Labels
Masanari Kimura
Earthquakes and tropical cyclones cause the suffering of millions of people around the world every year. The resulting landslides exacerbate the effects of these disasters. Landsli…
New Perspective of Interpretability of Deep Neural Networks
Masanari Kimura, Masayuki Tanaka
Deep neural networks (DNNs) are known as black-box models. In other words, it is difficult to interpret the internal state of the model. Improving the interpretability of DNNs is o…
PNUNet: Anomaly Detection using Positive-and-Negative Noise based on Self-Training Procedure
Masanari Kimura
We propose the novel framework for anomaly detection in images. Our new framework, PNUNet, is based on many normal data and few anomalous data. We assume that some noises are added…
Intentional Attention Mask Transformation for Robust CNN Classification
Masanari Kimura, Masayuki Tanaka
Convolutional Neural Networks have achieved impressive results in various tasks, but interpreting the internal mechanism is a challenging problem. To tackle this problem, we exploi…