Designed Dithering Sign Activation for Binary Neural Networks

1 code implementation • 3 May 2024 • Brayan Monroy, Juan Estupiñan, Tatiana Gelvez-Barrera, Jorge Bacca, Henry Arguello

Binary Neural Networks emerged as a cost-effective and energy-efficient solution for computer vision tasks by binarizing either network weights or activations.

Mixture-Net: Low-Rank Deep Image Prior Inspired by Mixture Models for Spectral Image Recovery

no code implementations • 5 Nov 2022 • Tatiana Gelvez-Barrera, Jorge Bacca, Henry Arguello

This paper proposes a non-data-driven deep neural network for spectral image recovery problems such as denoising, single hyperspectral image super-resolution, and compressive spectral imaging reconstruction.

Denoising Hyperspectral Image Super-Resolution +1