The spatial organization of chromatophore-muscle innervation by motoneurons enables the generation of chromatophore-shaped noise, virtual or composite chromatophores, and shape elements such as lines ...
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Upsampling method sharpens AI vision with up to 16 times less GPU memory
From facial recognition on smartphones to humanoid robots, computer vision technology, which serves as the eyes of artificial intelligence (AI), is widely used in daily life. A joint research team ...
Over the past two years, many firms have also set up AI centres of excellence in Singapore to promote the use of the technology in various sectors. There are more than 70 of such centres of excellence ...
Key Laboratory of Optimization Theory and Applications, School of Mathematical Sciences, China West Normal University, Nanchong, China. Overall, existing literature mainly focuses on smooth ...
While the original LSMI dataset was designed for illumination estimation from RAW images, there is another research direction called post-capture white balance that works with sRGB images. "Revisiting ...
Abstract: A new method of image recognition based on Mobile Net and Self-Attention is presented. Firstly, the structure of the network is optimized, and a multiscale feature fusion strategy is ...
As a key industrial equipment, the welding quality of pressure vessels is directly related to the operation safety, and X-ray nondestructive testing is an important means to evaluate the weld quality.
The media industry stands on the precipice of a technological revolution. Over the past year, we’ve seen how Artificial Intelligence (AI) has gone beyond the hype to become a transformative force, ...
FBGL (Framebuffer Graphics Library) is a single-header C library providing comprehensive 2D graphics primitives with direct Linux framebuffer device access. Designed for scenarios requiring minimal ...
Abstract: Auto-focus is essential for microendoscopy by achieving clear vision to screen for and prevent cancer. Conventional auto-focus methods utilize the rule-based search algorithm to maximize the ...
The performance of the state-of-the-art Deep Reinforcement algorithms such as Proximal Policy Optimization, Twin Delayed Deep Deterministic Policy Gradient, and Soft Actor-Critic for generating a ...
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