Neuroscientists have been trying to understand how the brain processes visual information for over a century. The development ...
Abstract: Convolutional neural networks (CNNs) and transformers have demonstrated remarkable capabilities in capturing spatial–spectral contextual dependencies, making them widely applicable for ...
Abstract: Road crack detection is crucial for infrastructure maintenance and traffic safety, yet existing methods struggle to balance detection accuracy and computational efficiency due to complex ...
Three-dimensional modeling sits at the heart of modern design, engineering, and fabrication. Yet for blind and low-vision ...
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