论文笔记《Self-Attention ConvLSTM for Spatiotemporal Prediction》,程序员大本营,技术文章内容聚合第一站。
Self-Attention ConvLSTM for Spatiotemporal Prediction AAAI-20 下载链接:ojs.aaai.org/index.php/ 这是来自清华大学的一篇文章,为提取更大尺度的空间依赖特征,作者提出了self-attention memory模块,并将其引入到ConvLSTM中,取得了SOTA的成绩。 Introduction 作者先交待了时空序列预测的的重要性、应用范围,表示时空序列...
Self-Attention NetworkPoint-of-InterestRecommender systemNext Point-of-Interest (POI) recommendation, which aims to recommend next POIs that the user will likely visit in the near future, has become essential in Location-based Social Networks (LBSNs)...doi...
self-attention is widely applied in language inference tasks. Motivated by these observations, we propose a self-attention traffic matrix prediction (SATMP) model for long-term network TM prediction in IIoT scenarios. SATMP consists of three components: (a) a spatial–temporal encoding for obtaini...
To address this limitation, this paper proposes a spatiotemporal self-attention mechanism-based LSTNet, which is a multivariate time series forecasting model. The proposed model leverages two self-attention strategies, spatial and temporal self-attention, to focus on the most relevant information among...
论文中首先提出的是self-attention,这个有区别与transformer中的self-attention,只是在各自辅助广告序列内部不同广告特征经过一个MLP输出一个权重,然后使用softmax进行归一化,最后根据不同权重进行sum pooling,公式如下图3: 图3 self-attention公式 这样的确某种程度上能获取到有效信息以及抑制噪音,缓解了第二个问题。但是...
Spatio-Temporal Embedding Layer 以每小时和每一百米作为基本单位,对时空关系矩阵进行嵌入,映射到一个欧氏空间。 此外,论文也提出了一种插值嵌入的方法: 经过求和得到最终的嵌入: Self-Attention Aggregation Layer 首先是第一个 Attention,主要用用来考虑轨迹中有不同距离和时间间隔的两次 check-in 的关联程度,对轨迹...
Temporal attentionManifold spaceRecently, skeleton-based action recognition has become increasingly prevalent in computer vision due to its wide range of applications, and many approaches have been proposed to address this task. Among these methods, manifold space is widely used to deal with the ...
Spatiotemporal attention learning for video question answering (VideoQA) has always been a challenging task, where existing approaches treat the attention parts and the nonattention parts in isolation. In this work, we propose to enforce the correlation between the attention parts and the nonattention...
[骨架动作识别]STA-LSTM: Spatio-Temporal Attention Model for Human Action Recognition from Skeleton Data,程序员大本营,技术文章内容聚合第一站。