SSIMLayer: Towards Robust Deep Representation Learning via Nonlinear Structural Similarity

The proposed SSIMLayer is a new nonlinear computational layer of high learning capacity to the deep convolutional neural network architectures.

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Ahmed Abobakr, Mohammed Hossny, Saeid Nahavandi (2024). Dataset: SSIMLayer: Towards Robust Deep Representation Learning via Nonlinear Structural Similarity. https://doi.org/10.57702/ljrljea3

DOI retrieved: December 2, 2024

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Created December 2, 2024
Last update December 2, 2024
Defined In https://doi.org/10.48550/arXiv.1806.09152
Author Ahmed Abobakr
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Mohammed Hossny
Saeid Nahavandi