Depth estimation is a classic task in computer vision, which is of great significance for many
applications such as augmented reality, target tracking and autonomous driving. Traditional …

Precision Agriculture (PA) promises to boost crop productivity while reducing agricultural
costs and environmental footprints, and therefore is attracting ever-increasing interests in …

Visual segmentation seeks to partition images, video frames, or point clouds into multiple
segments or groups. This technique has numerous real-world applications, such as …

Aiming at the application of deep learning in fault diagnosis, mechanical rotating equipment
components are prone to failure under complex working environment, and the industrial big …

The increasing demand for sustainable livestock products also demands new
considerations in animal breeding. Breeding programs are now seeking to integrate animal …

Vision-based damage detection in carbon fiber-reinforced plastic (CFRP) composites can be
interfered by such factors as surface texture, stains and lighting. A digital image correlation …

Deep learning is transforming most areas of science and technology, including electron
microscopy. This review paper offers a practical perspective aimed at developers with …

Translating satellite imagery into maps requires intensive effort and time, especially leading
to inaccurate maps of the affected regions during disaster and conflict. The combination of …

Deep learning has an enormous impact on medical image analysis. Many computer-aided
diagnostic systems equipped with deep networks are rapidly reducing human intervention in …

We propose GA-Nav, a novel group-wise attention mechanism to identify safe and navigable
regions in unstructured environments from RGB images. Our group-wise attention method …