To achieve orthogonality, we explicitly construct the convolution kernel for enforcing all singular values of the convolu- tion layer's Jacobian to be 1s. After training, the explicitly constructed orthogonal (ECO) convolutions are constructed only once, and their weights are stored.
Jan 28, 2022 · The method is based on considering the spectral domain, where the orthogonality of the 4D conv kernel (in spatial domain) is characterized as ...
Constructing Orthogonal Convolutions in an Explicit Manner
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In this work, we exploit the relation between the singular values of the convolution layer's Jacobian and the structure of the convolution kernel. To achieve ...
Nov 15, 2022 · CAI, and P. Li. Constructing orthogonal convolutions in an explicit manner. In. International Conference on Learning Representations, 2022. URL ...
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This repository contains implementations and source code to reproduce experiments for the ICLR 2021 spotlight paper Orthogonalizing Convolutional Layers ...
Sep 1, 2023 · Constructing orthogonal convolutions in an explicit manner. In. International Conference on Learning Representations (ICLR), 2022. (to appear) ...
The proposed orthogonal convolution requires no additional parameters and little computational overhead and consistently outperforms the kernel ...
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Constructing orthogonal convolutions in an explicit manner. T Yu, J Li, Y Cai, P Li. International Conference on Learning Representations, 2021. 18, 2021.