2023
Progress and Limitations of Deep Networks to Recognize Objects in Unusual Poses
AAAI 2023technical
Deep networks should be robust to rare events if they are to be successfully deployed in high-stakes real-world applications. Here we study the capability of deep networks to recognize objects in unusual poses. We create a synthetic dataset of images of objects in unusual orientations, and evaluate…