In this work we address the task of semantic image segmentation with Deep Learning and
make three main contributions that are experimentally shown to have substantial practical …

In this article, we tackle the problem of depth estimation from single monocular images.
Compared with depth estimation using multiple images such as stereo depth perception …

Accurate tooth segmentation from CBCT images is a crucial step for specialist to perform
quantitative analysis, clinical diagnosis and operation. In this paper, we present a symmetric …

In this work, we investigate the effects of the cascade architecture of dilated convolutions
and the deep network architecture of multi-resolution input images on the accuracy of …

We consider the task of learning a classifier for semantic segmentation using weak
supervision in the form of image labels specifying objects present in the image. Our method …

Effective features and graphical model are two key points for realizing high performance
scene parsing. Recently, Convolutional Neural Networks (CNNs) have shown great ability of …

Image semantic segmentation is a challenging problem for low‐level computer vision.
Recently, deep convolutional neural networks (DCNNs) have been proved to achieve …

We provide an overview of the Intel Distribution of OpenVINO toolkit. The application of the
OpenVINO toolkit is represented on the case study of semantic segmentation of on-road …

Crack analysis based on computer vision has become a common approach for crack
detection and localization in civil infrastructure. In practice, many cracks show poor …