Goldilocks-curriculum Domain Randomization and Fractal Perlin Noise with Application to Sim2Real Pneumonia Lesion Detection

no code implementations • 29 Apr 2022 • Takahiro Suzuki, Shouhei Hanaoka, Issei Sato

An obstacle in developing a CAD system for a disease is that the number of medical images is typically too small to improve the performance of the machine learning model.

BIG-bench Machine Learning Lesion Detection

Black-box Adversarial Attacks on Monocular Depth Estimation Using Evolutionary Multi-objective Optimization

no code implementations • 29 Dec 2020 • Renya Daimo, Satoshi Ono, Takahiro Suzuki

This paper proposes an adversarial attack method to deep neural networks (DNNs) for monocular depth estimation, i. e., estimating the depth from a single image.

Adversarial Attack Image Classification +1

Adversarial Example Generation using Evolutionary Multi-objective Optimization

no code implementations • 30 Dec 2019 • Takahiro Suzuki, Shingo Takeshita, Satoshi Ono

This paper proposes Evolutionary Multi-objective Optimization (EMO)-based Adversarial Example (AE) design method that performs under black-box setting.