The IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR) is the premier annual computer vision event. CVPR 2022 was held in a hybrid format which involved remote and in-person participation. The conference took place in New Orleans in the United States from 19/6 to 24/6.
How does explicit orientation encoding affect image classification of ConvNets?
Some shapes look different to us if rotated. That is attributed to the use of a rotation frame of coordinates in the human visual system. However, no evidence that ConvNets, which is a machine learning architecture, use a frame of coordinates for rotation. We investigated the effect of adding one to ConvNets. An explicit orientation encoding kernel was developed using a mathematically inspired self-supervised approach. The experimental results showed that rotation encoding improved the accuracy of classifying rotated images and the resilience against noise.