Urban scene parsing is the core of the intelligent transportation system, and RGB–thermal
urban scene parsing has recently attracted increasing research interest in the field of …

Convolutional neural networks, in which each layer receives features from the previous layer
(s) and then aggregates/abstracts higher level features from them, are widely adopted for …

In the context of pandemic, COVID-19, recognition of masked face images is a challenging
problem, as most of the facial components become invisible. By utilizing prior information …

Automatic diagnosis of Coronavirus disease 2019 (COVID-19) using chest computed
tomography (CT) images is of great significance for preventing its spread. However, it is …

Semantic segmentation is an important yet unsolved problem in aerial scenes
understanding. One of the major challenges is the intense variations of scenes and object …

As the foundation of image interpretation, semantic segmentation is an active topic in the
field of remote sensing. Facing the complex combination of multiscale objects existing in …

As a safety-critical application, autonomous driving requires high-quality semantic
segmentation and real-time performance for deployment. Existing method commonly suffers …

Guided filter is a fundamental tool in computer vision and computer graphics, which aims to
transfer structure information from the guide image to the target image. Most existing …

Although deep learning has achieved great success in many computer vision tasks, its
performance relies on the availability of large datasets with densely annotated samples …

In the information age, semantic parsing technology drives efficiency improvement and
accelerates the process of intelligence. However, it faces complex understanding, data …