16 citations · 18 across the 3 of their papers we have counts for
3 papers
MaxDropoutV2: An Improved Method to Drop out Neurons in Convolutional Neural Networks
Claudio Filipi Goncalves do Santos, Mateus Roder, Leandro A. Passos +1
In the last decade, exponential data growth supplied the machine learning-based algorithms' capacity and enabled their usage in daily life activities. Additionally, such an improve…
Image Denoising using Attention-Residual Convolutional Neural Networks
Rafael G. Pires, Daniel F. S. Santos, Marcos C. S. Santana +2
During the image acquisition process, noise is usually added to the data mainly due to physical limitations of the acquisition sensor, and also regarding imprecisions during the da…
MaxDropout: Deep Neural Network Regularization Based on Maximum Output Values
Claudio Filipi Goncalves do Santos, Danilo Colombo, Mateus Roder +1
Different techniques have emerged in the deep learning scenario, such as Convolutional Neural Networks, Deep Belief Networks, and Long Short-Term Memory Networks, to cite a few. In…