STF_Transformer模型由时序Transformer模块和空间Transformer模块组成,通过嵌入层和注意力机制提取时空依赖特征。实验中将模型与CNN、LSTM、CNN-LSTM、ConvLSTM和Ca-STANet等对比,以评估其性能。 研究结论 论文提出的时空融合Transformer模型(STF_Transformer)在大范围和相对长期的叶绿素-a(Chla)预测中展现出卓越性能。实验表明,...
Swin transformer blocks【patch的特征跨窗口融合(W-MSA和SW-MSA是两种划分窗口方案,如(c))】 +patch merging layer【来合并相邻的patch,降低了分辨率,增大了感受场】→ FEM-Swin提取块 多级融合模块(Multilevel Fusion Module, MFM) 一个coarse pixel由多个fine pixels生成 (理解为pooling),如果fine pixels被分为...
在SwinSTFM中，特征提取模块(FEM)由transformer encoder组成。它将输入的遥感图像分割为不重叠的patch，并通过一个线性映射层将它们转换为一维向量。自注意模块在计算中忽略了位置信息，而Swin Transformer则引入了相对位置偏差，增强了特征提取的灵活性。多级融合模块(MFM)通过粗像素与细像素之间的关系，实现...
Corrigendum to "STAFFormer: Spatio-temporal adaptive fusion transformer for efficient 3D human pose estimation" [Journal of Image and Vision Computing volu... F Hao,F Zhong,Y Wang,... - 《Image & Vision Computing》 被引量: 0发表: 2024年...
Videofusion: Decomposed diffusion models for high-quality video generation. Make-a-video: Text-to-video generation without text-video data. Videofactory: Swap attention in spatiotemporal diffusions for text-to-video generation. (transformer-based) ...
utilizing a Spatio-Temporal Skeleton Diffusion Transformer. The framework adeptly handles incomplete and noisy skeletal data common in short-form dance videos on social media platforms like TikTok. DanceFusion incorporates a hierarchical Transformer-based Variational Autoencoder (VAE) integrated with a diffu...
Code for our Information Fusion paper MGSFformer: A Multi-Granularity Spatiotemporal Fusion Transformer for air quality prediction - GestaltCogTeam/MGSFformer
论文精读|2024[KDD]ImputeFormer: 用于广义时空补全的低秩诱导的Transformer ImputeFormer 21. Pre-Training Identification of Graph Winning Tickets in Adaptive Spatial-Temporal Graph Neural Networks 链接:https://arxiv.org/abs/2406.08287 ACM链接:https://dl.acm.org/doi/abs/10.1145/3637528.3671912 ...
Kim TH, Sajjadi MS, Hirsch M, Schölkopf B (2018) Spatio-temporal transformer network for video restoration. In: European conference on computer vision. Springer, pp. 111–127 Kisilevich S, Mansmann F, Nanni M, Rinzivillo S (2009) Spatio-temporal clustering. Springer, Boston, pp 855–874...
Wang L, Koniusz P (2023) 3mformer: multi-order multi-mode transformer for skeletal action recognition. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp 5620–5631 Do J, Kim M (2024) Skateformer: skeletal-temporal transformer for human action recognition...