论文标题
补丁DCT与Lenet
Patch DCT vs LeNet
论文作者
论文摘要
本文比较了将图像贴片的DCT输出（离散余弦变换）与LENET与LENET进行分类的nn的性能。 DCT为基础的基础函数与视觉变压器的某些学习基础函数具有传递相似之处，但应用程序更快。
This paper compares the performance of a NN taking the output of a DCT (Discrete Cosine Transform) of an image patch with leNet for classifying MNIST hand written digits. The basis functions underlying the DCT bear a passing resemblance to some of the learned basis function of the Visual Transformer but are an order of magnitude faster to apply.
