PRIME
Boost robustness of images to common corruptions
PRIME is a generic, plug-n-play data augmentation scheme that consists of simple families of max-entropy image transformations for conferring robustness to common corruptions. PRIME leads to significant improvements in corruption robustness on multiple benchmarks.
ImagesPyTorch
- Technical
- Research papers
- Source code: Lab GitHub
- Last commit: 2021-12-28
The Signal Processing Laboratory (LTS4) is a team of researchers led by Prof. Pascal Frossard, working in the Electrical Engineering Institute of the Swiss Federal Institute of Technology (EPFL), Lausanne, Switzerland.
The group research focuses on image processing, graph signal processing and machine learning, as well as closely related fields such as network data analysis, distributed signal processing, image and video coding and immersive communications. We work at the frontier between signal processing, machine learning and applied mathematics.
The group research focuses on image processing, graph signal processing and machine learning, as well as closely related fields such as network data analysis, distributed signal processing, image and video coding and immersive communications. We work at the frontier between signal processing, machine learning and applied mathematics.
This page was last edited on 2024-03-21.
This page was last edited on 2024-03-21.