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

In today's digital age, Convolutional Neural Networks (CNNs), a subset of Deep Learning
(DL), are widely used for various computer vision tasks such as image classification, object …

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 …

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

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 …

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

The early detection of skin cancer substantially improves the five-year survival rate of
patients. It is often difficult to distinguish early malignant tumors from skin images, even by …

While significant progress has been made in recent years in the field of salient object
detection, there are still limitations in heterogeneous modality fusion and salient feature …

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 …

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 …