Rapid and precise detection and classification of vehicles are vital for the intelligent
transportation systems (ITSs). However, due to small gaps between vehicles on the road …

Smart multimedia-based medical analytics and decision-making systems are of prime
importance in the healthcare sector. Liver cancer is commonly stated to be the sixth most …

Remote sensing image target object detection and recognition are widely used both in
military and civil fields. There are many models proposed for this purpose, but their …

Different from traditional image super-resolution task, real image super-resolution (Real-SR)
focus on the relationship between real-world high-resolution (HR) and low-resolution (LR) …

In existing deep network-based image super-resolution (SR) methods, each network is only
trained for a fixed upscaling factor and can hardly generalize to unseen factors at test time …

To improve the generalization ability of the single pooling (average or maximum pooling)
skip connection residual network (SSN) for seismic random noise attenuation, we present a …

To reduce the impact of non-target horizon regions and improve horizon tracking precision,
we propose an attention-based two-stage U-Net horizon tracking method (ATUM). The …

Abstract 3D point cloud is one of the most common and basic 3D object representation
model that is widely used in virtual/augmented reality applications, eg, immersive …

Background The image resolution of fetal brain magnetic resonance imaging (MRI) is a
critical factor in brain development measures, which is mainly determined by the physical …

This paper addresses the traditional issue of restoring a high-resolution (HR) facial image
from a low-resolution (LR) counterpart. Current state-of-the-art super-resolution (SR) …