论文标题
改善卷积神经网络的相关方法
Improving correlation method with convolutional neural networks
论文作者
论文摘要
我们提出了一个卷积神经网络，用于分类通过相关过滤器获得的相关响应。所提出的方法可以提高分类的准确性，并实现对图像类和参数的不变性。
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.
