Improving correlation method with convolutional neural networks

• URL: http://arxiv.org/abs/2004.09430v1
• Date: Mon, 20 Apr 2020 16:36:01 GMT
• Title: Improving correlation method with convolutional neural networks
• Authors: Dmitriy Goncharov and Rostislav Starikov
• Abstract summary: We present a convolutional neural network for the classification of correlation responses obtained by correlation filters. The proposed approach can improve the accuracy of classification, as well as achieve invariance to the image classes and parameters.
• Score: 0.0
• License: http://creativecommons.org/licenses/by-sa/4.0/
• Abstract: We present a convolutional neural network for the classification of correlation responses obtained by correlation filters. The proposed approach can improve the accuracy of classification, as well as achieve invariance to the image classes and parameters.

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