publié le: 2023
Reconstructing the 3D shape of an object using several images under different light sources is a very challenging task, especially when realistic assu...
Image rescaling is a commonly used bidirectional operation, which first downscales high-resolution images to fit various display screens or to be stor...
Model binarization is an effective method of compressing neural networks and accelerating their inference process. However, a significant performance...
Most classifiers rely on discriminative boundaries that separate instances of each class from everything else. We argue that discriminative boundaries...
Aliasing refers to the phenomenon that high frequency signals degenerate into completely different ones after sampling. It arises as a problem in the...
