Deep learning has made substantial breakthroughs in many fields due to its powerful
automatic representation capabilities. It has been proven that neural architecture design is …

Artificial intelligence (AI) applications have significantly improved our everyday quality of life.
The last decade has witnessed the emergence of up-and-coming applications in the field of …

Image denoising is a challenging inverse problem due to complex scenes and information
loss. Recently, various methods have been considered to solve this problem by building a …

Recent dehazing networks learn more discriminative high-level features by designing
deeper networks or introducing complicated structures, while ignoring inherent feature …

The detection head constitutes a pivotal component within object detectors, tasked with
executing both classification and localization functions. Regrettably, the commonly used …

Recently, the machine-vision-based blades surface damage detection technique has
received great attention for its low cost, easy operation, and lack of a need for prior …

Sonar image object detection is essential in underwater rescue and resource exploration.
Although many convolution neural network (CNN)-based object detection algorithms have …

The 3-D object detection is crucial for many real-world applications, attracting many
researchers' attention. Beyond 2-D object detection, 3-D object detection usually needs to …

Semantic segmentation and depth completion are two challenging tasks in scene
understanding, and they are widely used in robotics and autonomous driving. Although …

The world has been facing the COVID‐19 pandemic since December 2019. Timely and
efficient diagnosis of COVID‐19 suspected patients plays a significant role in medical …