Zernike Pooling: Generalizing Average Pooling Using Zernike Moments

Most of the established neural network architectures in computer vision are essentially composed of the same building blocks (e.g., convolutional, normalization, regularization, pooling layers, etc.), with their main difference being the connectivity of these components within the architecture and n...

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Bibliographic Details
Main Authors: Thomas Theodoridis, Kostas Loumponias, Nicholas Vretos, Petros Daras
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/9524712/