FasTrCaps: An Integrated Framework for Fast yet Accurate Training of Capsule Networks

24 May 2019Alberto MarchisioBeatrice BussolinoAlessio ColucciMuhammad Abdullah HanifMaurizio MartinaGuido MaseraMuhammad Shafique

Recently, Capsule Networks (CapsNets) have shown improved performance compared to the traditional Convolutional Neural Networks (CNNs), by encoding and preserving spatial relationships between the detected features in a better way. This is achieved through the so-called Capsules (i.e., groups of neurons) that encode both the instantiation probability and the spatial information... (read more)

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