Novel deep learning model for traffic sign detection using capsule networks
AD Kumar - arXiv preprint arXiv:1805.04424, 2018 - arxiv.org
Convolutional neural networks are the most widely used deep learning algorithms for traffic
signal classification till date but they fail to capture pose, view, orientation of the images
because of the intrinsic inability of max pooling layer. This paper proposes a novel method
for Traffic sign detection using deep learning architecture called capsule networks that
achieves outstanding performance on the German traffic sign dataset. Capsule network
consists of capsules which are a group of neurons representing the instantiating parameters …
signal classification till date but they fail to capture pose, view, orientation of the images
because of the intrinsic inability of max pooling layer. This paper proposes a novel method
for Traffic sign detection using deep learning architecture called capsule networks that
achieves outstanding performance on the German traffic sign dataset. Capsule network
consists of capsules which are a group of neurons representing the instantiating parameters …
Novel Deep Learning Model for Traffic Sign Detection Using Capsule Networks
A Dinesh Kumar - arXiv e-prints, 2018 - ui.adsabs.harvard.edu
Convolutional neural networks are the most widely used deep learning algorithms for traffic
signal classification till date but they fail to capture pose, view, orientation of the images
because of the intrinsic inability of max pooling layer. This paper proposes a novel method
for Traffic sign detection using deep learning architecture called capsule networks that
achieves outstanding performance on the German traffic sign dataset. Capsule network
consists of capsules which are a group of neurons representing the instantiating parameters …
signal classification till date but they fail to capture pose, view, orientation of the images
because of the intrinsic inability of max pooling layer. This paper proposes a novel method
for Traffic sign detection using deep learning architecture called capsule networks that
achieves outstanding performance on the German traffic sign dataset. Capsule network
consists of capsules which are a group of neurons representing the instantiating parameters …
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