Sep 30, 2020 · SACN is a light-weight network composed of multi-channel separable convolution layer, attention module and classification layer.
Oct 14, 2020 · ABSTRACT In this paper, a new Separable Attention Capsule Network (SACN) is proposed for signal classification.
In this paper, a new Separable Attention Capsule Network (SACN) is proposed for signal classification. SACN is a light-weight network composed of ...
In this paper, a new Separable Attention Capsule Network (SACN) is proposed for signal classification. SACN is a light-weight network composed of ...
This paper proposes a capsule network (self-attention capsule network, or SA-CapsNet) with a self-attention mechanism for text classification tasks.
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 ...
Jun 3, 2024 · The two-layer attention mechanism and the Inception module are embedded in the capsule structure (mai-capsule model) for lifetime prediction.
In this paper, we propose TimeCaps which adapts the ideas of 2D capsule networks to 1D signals by creating capsules along the temporal axis and along the.
The capsule network (CapsNet), proposed by Sabour and others [20], encodes the probability of an object's presence and its pose through the length and ...
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