Overview: Master deep learning with these 10 essential books blending math, code, and real-world AI applications for lasting ...

Abstract: Deep learning models in computer vision face challenges such as high computational resource demands and limited generalization in practical scenarios. To address these issues, this study ...

A cheap glass ball plus a monochrome sensor—frame or event—is enough to unlock compact, passive hyperspectral vision, by leveraging the lens’s intrinsic chromatic aberration much like how cephalopod ...

Abstract: Vision Transformer (ViT) is an image recognition model that uses transformer architecture, which has a numerous advantage over Convolution Neural Networks (CNN). It offers improved accuracy, ...