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Biologically inspired deep residual networks for computer vision applications. (arXiv:2205.02551v1 [cs.CV])
May 6, 2022, 1:10 a.m. | Prathibha Varghese, Dr. G. Arockia Selva Saroja
cs.CV updates on arXiv.org arxiv.org
Deep neural network has been ensured as a key technology in the field of many
challenging and vigorously researched computer vision tasks. Furthermore,
classical ResNet is thought to be a state-of-the-art convolutional neural
network (CNN) and was observed to capture features which can have good
generalization ability. In this work, we propose a biologically inspired deep
residual neural network where the hexagonal convolutions are introduced along
the skip connections. The performance of different ResNet variants using square
and hexagonal convolution …
applications arxiv computer computer vision cv networks vision
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