Achieving high reliability in AI systems—such as autonomous vehicles that stay on course even in snowstorms or medical AI that can diagnose cancer from low-resolution images—depends heavily on model ...
Abstract: Deep neural networks (DNNs) have demonstrated remarkable potential in automatic target classification using synthetic aperture radar (SAR) imagery. However, their performance heavily relies ...
Abstract: Data augmentation is vital in deep learning for enhancing model robustness by artificially expanding training datasets. However, advanced methods like CutMix blend images and assign labels ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results