routing can unfold to the stacked capsule layers, where the number of extra layers is the number of iterations. Shortcut routing uses shortcuts to expand the depth of the network. The two architectures above have the same depth and number of iterations (𝑁 = 2), but the bottom one has voting tensors of smaller size.
Jul 14, 2023
Jul 14, 2023 · This study introduces "shortcut routing," a novel routing mechanism in capsule networks that addresses computational inefficiencies.
Jul 14, 2023 · This study introduces "shortcut routing," a novel routing mechanism in capsule networks that addresses computational inefficiencies by ...
This study introduces "shortcut routing," a novel routing mechanism in capsule networks that addresses computational inefficiencies by directly activating ...
Aug 1, 2021 · Capsules are fundamental informative units that are introduced into capsule networks to manipulate the hierarchical presentation of patterns.
My study about Capsule Network using Pytorch framework · Figure 1. MNist dataset visualized by Capsule vectors · Figure 2. Dynamic Routing with Fully Voting layer.
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In this work, we propose a novel and surprisingly simple routing strategy called self-routing, where each capsule is routed independently by its subordinate ...
This study introduces "shortcut routing," a novel routing mechanism in capsule networks that addresses computational inefficiencies by directly activating ...
Dec 12, 2022 · A new capsule network is designed by self-attention routing, shortcut techniques, and unconditional reconfiguration decoders, to avoid weak ...
Jul 19, 2021 · In this paper, we investigate the efficiency of capsule networks and, pushing their capacity to the limits with an extreme architecture with barely 160 K ...
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