In this work, we propose attentional alignment networks (AAN), a novel end-to-end convolutional architecture for direct face alignment without relying on ...
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Oct 25, 2021 · This paper introduces alignment attention that explicitly encourages self-attention to match the distributions of the key and query within each head.
Missing: Attentional | Show results with:Attentional
Jul 19, 2023 · Practically, the attention mechanism we will be discussing ends up being a matrix of scores, called “alignment” scores. These alignment scores ...
Attention network theory distinguishes three independent systems, each supported by its own distributed network: an alerting network to deploy attentional ...
Dec 31, 2021 · In this article, a single shot detector (SSD), namely, attentional feature refinement and alignment network (AFRAN), is proposed for detecting ...
We introduce a general recipe for alignment attention: (a) build the alignment to match the key and query distributions within each head, (b) develop efficient ...
Network alignment, which aims at finding the node correspondences between networks, is the cornerstone of multi-network applications.
Missing: Attentional Networks.
Mar 5, 2020 · In this posting, let's briefly go through the alignment mechanism for input and output sequences proposed by Bahdahanu et al. (2015).
Missing: Attentional | Show results with:Attentional
Jan 23, 2023 · We propose a deep attention-based alignment network, which aims to automatically predict lyrics and melody with given incomplete lyrics as input.
Missing: Attentional | Show results with:Attentional
Nov 9, 2021 · This paper introduces alignment attention that explicitly encourages self-attention to match the distributions of the key and query within each head.
Missing: Attentional | Show results with:Attentional