Abstract: In the last decade, we have witnessed a high demand for high-resolution devices and screens. 4K and higher becomes a standard video definition, which requires special calculators such as ...
Abstract: Machine learning is a trending topic in the area of computer vision, which makes the machine able to learn about it without being expressly programmed using various algorithms. When a model ...
Abstract: With the increase in the number of remote sensing satellites and imaging modes, the amount of data for acquiring remote sensing images has greatly increased. Effectively and stably ...
Abstract: Although the fusion of images and LiDAR point clouds is crucial to many applications in computer vision, the relative poses of cameras and LiDAR scanners are often unknown. However, due to ...
Comprehensive repository offering official resources, detailed guides, and reference materials for SILKYPIX Developer Studio on Windows PCs. Designed to support users with accurate information and ...
Abstract: As millimeter-wave radar technology advances, modern domain-specific digital signal processors (DSPs) struggle to balance versatility and processing scale, while suffering from low data ...
Abstract: Super-Resolution (SR) reconstructs high-resolution images from low-resolution ones. CNNs and window-attention methods are two major categories of canonical SR models. However, these measures ...
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