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arXiv research

A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.

169,051 papers · 148 categories

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1 result for “2D-DFT”
Rotation Equivariance and Invariance in Convolutional Neural Networksstat.ML

Improved CNNs for image classification tasks with rotational invariance.

problem Improving CNN performance for tasks with rotation invariance.
method Rotation-equivariant and rotation-invariant encoding using 2D-DFT magnitude responses and efficient convolutional schemes.
result Significant improvement in classification accuracy and robustness to hyperparameters.
CNNsRotation invarianceImage classification2D-DFTConvolutional layers
2018-05-31abs ↗pdf ↗