1)Spatial attention 2)Temporal attention 在时间维度上,不同时间片上的交通状况之间存在相关性,且在不同情况下其相关性也不同。 Spatial-Temporal Convolution 时空关注模块让网络自动对有价值的信息给予相对更多的关注。本文提出的时空卷积模块包括空间维度上的图卷积,从邻近时间捕获空间相关性,以及沿时间维度上的卷积...
论文《STAS: Spatial-Temporal Return Decomposition for Multi-agent Reinforcement Learning》来自 Arxiv 2024。这篇论文讨论情景多智能体强化学习(Episodic Multi-agent Reinforcement Learning)中的信用分配问题。情景强化学习是指只有当智能体序列终止时才能获得非零奖励,也就是奖励稀疏场景。因此信用分配问题就需要考虑,...
STA:Spatial-Temporal Attention for Large-Scale Video-based Person Re-Identification(AAAI2019) 注意力机制对于视频行人重识别的研究越来越得到很多人的关注,同时因为时序特征也是非常重要的一部分,很多方法开始考虑两部分的结合。但是本文采用一个序列中随机选择4张图片就表示利用了时序信息还是有待商榷,感觉更像是基...
Methods.We developed a cascaded attention-based deep neural network named Cascaded Temporal and Spatial Attention Network (CTSAN) for solar AO image restoration. CTSAN consists of four modules: optical flow estimation PWC-Net for inter-frame explicit alignment, temporal and spatial attention for dynam...
Introduction 为了提取两个特征之间的相关性,设计了Relation Module(RM)来计算相关性向量; 为了减小背景干扰,关注局部的信息区域,采用了Relation-Guided Spatial Attention Module(RGSA),由特征和相关性向量来决定关注的区域; 为提
17. Attention, * language, * visual-spatial skills, * and executive function. 记忆,注意力,语言,视觉空间技能及执行功能。 18. spatial的反义词 18. In Experiment two, only house pair was task-relevant and its location varied with separate trials, orienting of attention to distracting faces was ma...
Introduction 本文主要提出了高效且容易实现的STA框架(Spatial-Temporal Attention)来解决大规模video Reid问题。框架中融合了一些创新元素:帧选取、判别力局部挖掘、不带参特征融合、视频内正则化项。 Proposed Method (1)总体思路: 先通过
A spatial cueing paradigm was used to (a) investigate the effects of attentional orienting on spatial and temporal parameters of saccadic eye movements and (b) examine hypotheses regarding the hierarchical programming of saccade direction and amplitude. On a given trial, the subjects were presented ...
STA-TSN: Spatial-Temporal Attention Temporal Segment Network for action recognition in video Most deep learning-based action recognition models focus only on short-term motions, so the model often causes misjudgments of actions that are combined by... G Yang,Y Yang,Z Lu,... - 《Plos One》...
First, for the spatial-temporal attention model, the spatial-level attention emphasizes the salient regions in a frame, and the temporal-level attention exploits the discriminative frames in a video. They are mutually enhanced to jointly learn the discriminative static and motion features for better ...