Abstract Background Hospital-acquired infections (HAIs) in intensive care units (ICUs) are
among the avoidable morbidity and mortality causes. This study aimed at investigating the …

Saliency detection methods proposed in the literature exploit different rationales, visual
clues, and assumptions, but there is no single best saliency detection algorithm that is able …

Image classification is an important application of deep learning. In a typical classification
task, the classification accuracy is strongly related to the features that are extracted via deep …

We present a review of methods for automatic estimation of visual saliency: the perceptual
property that makes specific elements in a scene stand out and grab the attention of the …

We present a state of the art method for vegetable and fruit recognition based on
convolutional neural networks. We developed our solution around the concept of a smart …

Color constancy is the ability of human beings to recognize the colors of objects
independently of the characteristics of the light source. Computational color constancy aims …

In this paper we present a deep learning method to estimate the illuminant of an image. Our
model is not trained with illuminant annotations, but with the objective of improving …

We propose a new representation of distance information that is independent from any
specific acquisition device, based on the size of portrayed subjects. In this alternative …

In this paper we present a method for still image memorability estimation. The proposed
solution exploits feature maps extracted from two Convolutional Neural Networks pre-trained …

图像分类是深度学习的重要应用. 在典型分类任务中, 分类精度与通过深度学习方法提取的特征
密切相关. 自动编码器是一种特殊神经网络, 常用于降维和特征提取. 本文所提方法基于传统的 …