Currently, deep learning is the most important technique for solving many complex machine vision problems. State-of-the-art deep learning models typically contain a very large number of parameters ...

EPFL researchers have developed a machine learning approach to compressing image data with greater accuracy than learning-free computation methods, with applications for retinal implants and other ...

Researchers from South Korea improved solar panel dust detection by using SMOTE and stable diffusion (SD) augmentation, with SD boosting detection accuracy from 76.5% to 98.9% while preserving spatial ...