mlsanityData to 14 Oct 2026

Patch DCT vs LeNet

arXiv 2211.02392 ↗First posted 4 Nov 2022cs.CVcited by 0

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Abstract (arXiv)

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.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 2 of its 6 references that are in the map. First posted on arXiv 4 Nov 2022.

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2 of 6 references.

References · 2

  1. 2020An Image is Worth 16x16 Words: Transformers for Image Recognition at Scalecited by 30,186
  2. 2019PyTorch: An Imperative Style, High-Performance Deep Learning Librarycited by 20,305

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