The transformer-based semantic segmentation approaches, which divide the image into different regions by sliding windows and model the relation inside each window, have achieved outstanding ...

Image semantic segmentation is ubiquitously used in scene understanding applications, such as AI Camera, which require high accuracy and efficiency. Deep learning has significantly advanced the ...

Microsoft announced the general availability of Semantic Kernel for Python and Java, advancing the open source AI integration SDK that is a key component of the company's Copilot stack of AI tools.

A semantic segmentation network DeeplabV3+ is used to locate the water gauge in the surveillance image and to crop it. Then, the water-gauge image is divided into multiple regions by binaryzation and ...

AttendSeg is a new neural network architecture from DarwinAI designed to perform image segmentation on low-power/capacity computing devices.

High-Definition(HD) mapping is in many applications from autonomous driving to infrastructure monitoring, and urban management essential for the understanding of complex urban infrastructure with ...