global和local的区别:whether the “attention”is placed on all source positions or on only a few source positions 今天看了下 论文 Effective Approaches to Attention-based Neural Machine Translation,里面研究了attention的两类架构:global attention 和 local attention。这里将读完论文的一些收获记录下来。论文链...
Local attention本质上实在一个2D local window内进行特征聚合,但其每个位置的聚合权重,通过KQV之间计算Attention similarity得到(主要包括dot-production, scaling, softmax),是一个无参数的动态计算的局部特征计算模块。 aij为聚合权重,xij为待聚合的特征 ICLR这篇文章的先前版本 (Demystifing Local Vision Transformer)...
7-4 几种典型的注意力机制 hard、soft、local attention是深度学习的第83集视频,该合集共计128集,视频收藏或关注UP主,及时了解更多相关视频内容。
This code has been battletested in multiple repositories already, alongside different implementations of sparse long-range attention. Install $ pip install local-attention Usage import torch from local_attention import LocalAttention q = torch.randn(2, 8, 2048, 64) k = torch.randn(2, 8, 2048,...
在局部attention下,我们有两种模式。 第一种就是Monotonic(中文叫做无变化的)的对齐模型,local-m,我们简简单单的就令pt=tpt=t,这个公式的意思就是我们认为目标单词和我们的元单词是一一对应的。 另一种就是Predictive对齐模型(local-p),我们使用下面的公式预测ptpt: ...
论文解读——神经网络翻译中的注意力机制 以及 global / local attention,程序员大本营,技术文章内容聚合第一站。
I saw #89 As far as I know both FAv2 and xFormers' FMHA support 1-D sliding window attention with causal masking, so you probably can use them for now, but again only when your token space is 1-D, and only when you're doing causal maskin...
However, in this paper we question: Is global relation modeling using self-attention necessary, or can we appropriately restrict self-attention calculations to local regimes in large-scale whole slide images (WSIs)? We propose a general-purpose local attention graph-based Transformer for MIL (LA-...
给一张图片我们分别用cnn和local-faster cnn 抽取他们的全局特征(Gf)与局部特征(Lf)。然后用下面的公式1把它集成起来: 公式1: s.t 就是局部特征与全局特征的权重,当然这个怎么求呢。我们就用到了attention机制(来自于机器翻译里),这个机制最近用的很多啊。
In this paper, we propose to incorporate the local attention in WaveNet-CTC to improve the performance of Tibetan speech recognition in multitask learning. With an increase in task number, such as simultaneous Tibetan speech content recognition, dialect identification, and speaker recognition, the acc...