Semantic segmentation is a key technology for autonomous vehicles to understand the
surrounding scenes. The appealing performances of contemporary models usually come at …

With the increasing demand of autonomous systems, pixelwise semantic segmentation for
visual scene understanding needs to be not only accurate but also efficient for potential real …

Semantic segmentation is a valuable yet challenging research in the Internet of Things (IoT),
especially for some real-time and resource-constrained applications. Recently we witness a …

Powder bed quality is critical in Laser Powder Bed Fusion (LPBF) as defects in the powder
bed will affect the quality of the forming parts. Recently, numerous powder bed defect …

Semantic segmentation technique plays a crucial role in Internet of Things applications,
such as industrial robotics and self‐driving. Recently deep learning approaches have …

Semantic segmentation, which aims to accurately identify each pixel, is a meaningful and
challenging task. Recently, we witness a strong tendency to improve model efficiency in low …

Image semantic segmentation is an important branch of computer vision of a wide variety of
practical applications such as medical image analysis, autonomous driving, virtual or …

Semantic segmentation provides accurate scene understanding and decision support for
many applications. However, many models strive for high accuracy by adopting complex …

Due to the swift advancement of artificial intelligence technology, semantic segmentation
has emerged as a critical method for identifying rotational flaws in conveyor belts of pipe belt …

Deep clustering obtains feature representation generally and then performs clustering for
high dimension real-world data. However, conventional solutions are two-stage embedding …