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Jun 26, 2019 · In this paper, a method of parameter sharing is proposed for the capsule layer of capsule network to further reduce the parameters of the capsule layer and ...
In this paper, we have adopted two methods to solve this problem. First, a method of sharing the parameters of capsule layer is proposed to solve the problem of ...
Chunyan Lu, Shukai Duan, Lidan Wang : An Improved Capsule Network Based on Newly Reconstructed Network and the Method of Sharing Parameters.
An Improved Capsule Network Based on Newly Reconstructed Network and the Method of Sharing Parameters. https://doi.org/10.1007/978-3-030-22796-8_13 ·.
In this paper, we propose an improved capsule network (CapsNet) based on Capsule Filter Routing (CFR) to address this problem, namely CFR-CapsNet. Firstly, we ...
Aug 11, 2021 · In this paper, we propose an improved capsule network (CapsNet) based on Capsule Filter Routing (CFR) to address this problem, namely CFR- ...
Dec 12, 2022 · This study designs a capsule network-based prediction technique for p-site in prokaryotes. To address the poor scalability and unreliability of dynamic routing ...
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What are the advantages of capsule network?
Which is the mechanism used where a node network is connected to multiple networks for improved reliability?
Feb 24, 2024 · The dynamic routing algorithm plays a crucial role in Capsule Networks, enabling effective communication and agreement between capsules. In ...
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In this paper, we provide a comprehensive review of the state of the art architectures, tools and methodologies in existing implementations of capsule networks.
Apr 21, 2019 · Capsule Network is a promising concept in deep learn- ing, yet its true potential is not fully realized thus far, provid-.