Non-Iterative Cluster Routing: Analysis and Implementation Strategies

被引:1
|
作者
Pham, Huong [1 ]
Cheng, Samuel [2 ]
机构
[1] Univ Oklahoma, Sch Elect & Comp Engn, Norman Campus, Norman, OK 73019 USA
[2] Univ Oklahoma, Sch Elect & Comp Engn, Tulsa Campus, Tulsa, OK 74135 USA
来源
APPLIED SCIENCES-BASEL | 2024年 / 14卷 / 05期
关键词
data-dependent routing; capsnet; capsule network; CAPSULE NETWORK;
D O I
10.3390/app14051706
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
In conventional routing, a capsule network employs routing algorithms for bidirectional information flow between layers through iterative processes. In contrast, the cluster routingtechnique utilizes a non-iterative process and can outperform state-of-the-art models with fewer parameters, while preserving the part-whole relationship and demonstrating robust generalization to novel viewpoints. This paper aims to further analyze and clarify this concept, providing insights that allow users to implement the cluster routing technique efficiently. Additionally, we expand the technique and propose variations based on the routing principle of achieving consensus among votes in distinct clusters. In some cases, these variations have the potential to enhance and boost the cluster routing performance while utilizing similar memory and computing resources.
引用
收藏
页数:16
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