A5048097799- Advanced Vision and Imaging
- Bacillus and Francisella bacterial research
- Generative Adversarial Networks and Image Synthesis
- Image Enhancement Techniques
- Adversarial Robustness in Machine Learning
Hokkaido University
2022-2024
In our digitally driven society, advances in software and hardware to capture video data allow extensive gathering analysis of large datasets. This has stimulated interest extracting information from data, such as buildings urban streets, enhance understanding the environment. Urban essential parts cities, carry valuable relevant daily life. Extracting features these elements integrating them with technologies VR AR can contribute more intelligent personalized public services. Despite its...
Regularization has become an important method in adversarial defense. However, the existing regularization-based defense methods do not discuss which features convolutional neural networks (CNN) are more suitable for regularization. Thus, this paper, we propose a multi-stage feature fusion network with regularization operation, is called Enhanced Multi-Stage Feature Fusion Network (EMSF2Net). EMSF2Net mainly combines three parts: enhancement (MSFE), (MSF2), and Specifically, MSFE aims to...