相反,一种合理的近似方法可能是应用现成(自下而上)的显著性方法来限制特征被平均覆盖的空间区域。我们用现有的基于显著性的方法进行的初步实验并不乐观。 项目信息: 论文:Attentional Pooling for Action Recognition 代码:rohitgirdhar/AttentionalPoolingAction 项目地址:Attentional Pooling for Action Recognition...
在CNN结构中,pooling层我们一般采用mean pooling或者max pooling,这两者都是一阶pooling (first-order pooling), 因为mean和max操作都是对feature map进行一阶操作。而second-order pooling,顾名思义,就是对feature map进行二阶操作的pooling,而这里的二阶操作,根据论文[1]中的说明,是通过feature map中的每个向量与...
Attentional Pooling for Action Recognition 简介 这是一篇NIPS的文章,文章亮点是对池化进行矩阵表示,使用二阶池的矩阵表示,并将权重矩阵进行低秩分解,从而使分解后的结果能够自底向上和自顶向下的解释,并巧用attention机制来解释,我感觉学到了很多东西,特别是张量分解等矩阵论的知识点。 基础概念 低秩分解 目的:去除...
Attentional Pooling for Action Recognition 来自 Semantic Scholar 喜欢 0 阅读量: 507 作者:R Girdhar,D Ramanan 摘要: We introduce a simple yet surprisingly powerful model to incorporate attention in action recognition and human object interaction tasks. Our proposed attention module can be trained with...
Table 3 suggests that the global max pooling serves as the squeeze operator to perform the best with the fewest parameters for all ECG classes. Table 3. Effect of different squeeze operators in the CAM. Next, we explore the location choice of the channel attention mechanism integrated into ...
The detailed network and parameters setting for extraction of the deep features can be referenced from Figure 4 and Table 2. Generally speaking, the pan image can be transformed into LR HSI through a series of pooling. In convolution neural networks, a convolution layer with a step size of 2...