Rotation invariance and translate invariance have great values in image recognition. In this paper, we bring a new architecture in convolutional neural network (CNN) to achieve rotation invariance and translate 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. Human being have the ability look at an object by one glance and remember it, we also can use this architecture to achieve this one shot learning.
Comments: 7 Pages.
[v1] 2017-05-04 04:17:51
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