Title: Rotation Invariance Neural Network,
Abstract: Rotation invariance and translation invariance have great values in image
recognition tasks. In this paper, we bring a new architecture in convolutional
neural network (CNN) named cyclic convolutional layer to achieve rotation
invariance in 2-D symbol recognition. We can also get the position and
orientation of the 2-D symbol by the network to achieve detection purpose for
multiple non-overlap target. Last but not least, this architecture can achieve
one-shot learning in some cases using those invariance.