National Cheng Kung University

Neural networks have enabled state-of-the-art approaches to achieve impressive results on many image processing and analysis tasks. However, while gigapixel images are gaining ground in domains like satellite imaging and digital pathology, feeding neural networks directly with these ultra-high-resolution images is still computationally challenging. With a growing number of high-resolution computer vision applications being proposed, the need for an efficient and powerful AI acceleration system targeting gigapixel images rises.