Convolutional neural network (CNN) and Transformer-based architectures are two dominant deep learning models for polyp segmentation. However, CNNs have limited capability for modeling long-range ...

Light sensors detect the presence or absence of light, and the intensity of that light. These sensors then convert light ...

In this paper, we study the application of Vehicle-to-Everything (V2X) communication to improve the perception performance of autonomous vehicles. We present V2X-ViTs, a robust cooperative perception ...

A new method for automated concrete bridge damage detection using an efficient Vision Transformer-enhanced anchor-free YOLO (You Only Look Once) has been proposed by researchers from the University of ...

Carnegie Mellon’s School of Computer Science is widely recognized as one of the first and best computer science programs in the world. Our programs train the next generation of innovators to solve ...