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arXiv · 2008.00157

L-CNN: A Lattice cross-fusion strategy for multistream convolutional neural networks

Ana Paula G. S. de Almeida·Flavio de Barros Vidal
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Abstract

This paper proposes a fusion strategy for multistream convolutional networks, the Lattice Cross Fusion. This approach crosses signals from convolution layers performing mathematical operation-based fusions right before pooling layers. Results on a purposely worsened CIFAR-10, a popular image classification data set, with a modified AlexNet-LCNN version show that this novel method outperforms by 46% the baseline single stream network, with faster convergence, stability, and robustness.

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BibTeXRIS

Ana Paula G. S. de Almeida, Flavio de Barros Vidal. 2020-08-01. L-CNN: A Lattice cross-fusion strategy for multistream convolutional neural networks. https://doi.org/10.1049/el.2019.2631

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