Modern day computer vision tasks requires efficient solution to problems such as image
recognition, natural language processing, object detection, object segmentation and …

Over the past few years, the computer vision domain has evolved and made a revolutionary
transition from human-engineered features to automated features to address challenging …

Abstract Deep Supervised Salient Object Detection (SSOD) excessively relies on large-
scale annotated pixel-level labels which consume intensive labour acquiring high quality …

Capsule networks (CapsNets) have been known difficult to develop a deeper architecture,
which is desirable for high performance in the deep learning era, due to the complex …

Accurate and reliable traffic forecasting for complicated transportation networks is of vital
importance to modern transportation management. The complicated spatial dependencies …

We introduce a new routing algorithm for capsule networks, in which a child capsule is
routed to a parent based only on agreement between the parent's state and the child's vote …

In open set recognition, a classifier has to detect unknown classes that are not known at
training time. In order to recognize new categories, the classifier has to project the input …

Lung and colon cancers are two of the most common causes of death and morbidity in
humans. One of the most important aspects of appropriate treatment is the histopathological …

Adversarial examples raise questions about whether neural network models are sensitive to
the same visual features as humans. In this paper, we first detect adversarial examples or …

The profound impact of deep learning and particularly of convolutional neural networks
(CNNs) in automatic image processing has been decisive for the progress and evolution of …