To address the above problems, we propose a novel Adaptive Spatial–Temporal Transformer Network (ASTTN) designed to effectively capture dynamic spatial–temporal features and improve the model's predictive adaptability under different systems. Considering the comprehensive temporal features, we design a ...
2.Spatial-Temporal Transformer Network 这是STTN的核心部分,通过一个多头 patch-based attention模块沿着空间和时间维度进行搜索。transformer的不同头部计算不同尺度上对空间patch的注意力。这样的设计允许我们处理由复杂的运动引起的外观变化。例如,对大尺寸的patch(例如,帧大小H×W)旨在修复固定的背景;对小尺寸的patch...
12 Spatio-Temporal Transformer Network with Physical Knowledge Distillation for Weather Forecasting 13 Hierarchical Spatio-Temporal Graph Learning Based on Metapath Aggregation for Emergency Supply Forecasting 14 Urban Traffic Accident Risk Prediction Revisited: Regionality, Proximity, Similarity and Sparsity 15...
2.Spatial Temporal Transformer Network 2.1 Spatial Self-Attention (SSA) SSA 模块在每一帧内应用自注意力来提取嵌入身体部位之间关系的低级特征,应用了一个针对所有节点的可学习的多头注意力注意机制(QKV self attention),所有动作的相关结构并不是固定的,而是针对每个样本自适应地变化。 SSA 的操作类似于全连接图...
Temporal Transformer implementation corresponds toST-TR/code/st_gcn/net/temporal_transformer.py. Set in/config/st_gcn/nturgbd/train.yaml: attention: False tcn_attention: True only_attention: True all_layers: False to run the temporal transformer stream (T-TR-stream). ...
3. MultiSPANS: A Multi-range Spatial-Temporal Transformer Network for Traffic Forecast via Structural Entropy Optimization 作者:Dongcheng Zou (Beihang University)*; Senzhang Wang (Central South University); li xuefeng (Beihang university); Hao Peng (Beihang University); Yuandong Wang (Tsinghua Universi...
12 Spatio-Temporal Transformer Network with Physical Knowledge Distillation for Weather Forecasting 作者:Jing He,Junzhong Ji,Minglong Lei 关键词:气象预测,知识蒸馏 13 Hierarchical Spatio-Temporal Graph Learning Based on Metapath Aggregation for Emergency Supply Forecasting ...
The official code for "Spatial temporal transformer networks for traffic flow forecasting" - xumingxingsjtu/STTN
To deal with these challenges, we design an object tracking network with a spatial-temporal graph Transformer, named GTOT. This network constructs the spatial-temporal graph of the object in the previous n frames based on the Siamese network tracking model [11] and adds a target state relations...
18 SSL-STMFormer Self-Supervised Learning SpatioTemporal Entanglement Transformer for Traffic Flow Prediction 19 RDPI: A Refine Diffusion Probability Generation Method for Spatiotemporal Data Imputation 20 Integrating Personalized Spatio-Temporal Clustering for Next POI Recommendation 21 Traffic Scenario Logic:...