2 papers
cs.CV2022
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…
cs.LG2020
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…