Context-gated convolutionGlobal context informationAs the basic building block of Convolutional Neural Networks (CNNs), the convolutional layer is designed to extract local patterns and lacks the ability to model global context in its nature. Many efforts have been recently devoted to complementing CNN...
作者提出的Context-Gated Convolution,把卷积层当做一个“自适应的处理器”,可以根据图像中的语义信息来调整卷积核的权重。 这个方法实现起来并不容易,因为对于输入feature map 的尺寸为(c,h,w)(c,h,w), 输出 feature map 的尺寸为(o,h,w)(o,h,w),这样,卷积参数量就是o×c×k×ko×c×k×k。所以,...
这些方法仍没有办法对卷积核建模做到“changing the structure of correlations over neuronal ensembles”。 作者提出的Context-Gated Convolution,把卷积层当做一个“自适应的处理器”,可以根据图像中的语义信息来调整卷积核的权重。 这个方法实现起来并不容易,因为对于输入feature map 的尺寸为(c,h,w), 输出 feature...
Motivated by this, we propose one novel Context-Gated Convolution (CGC) to explicitly modify the weights of convolutional layers adaptively under the guidance of global context. As such, being aware of the global context, the modulated convolution kernel of our proposed CGC can better extract ...
Cross-modal context-gated convolution also brings more possibilities to the layer design for multi-modal sequential modeling. Experiments on multi-modal sentiment analysis datasets under both word-aligned and unaligned conditions show the validity of our approach....
采用了smooth dilated convolution 代替原有的dilated convolution,解决了原来的dilated convolution导致的grid artifacts 问题 提出了一个gated fusion sub-network,融合high-level 及low-level 特征,提升复原效果 方法细节: 1、smoothed dilated convolution 上面的图表示的是原始的空洞卷积的工作,从图中不同颜色的块块可...
Dilated Convolutions 1.扩张卷积Dilated Convolutions,翻译为扩张卷积或空洞卷积。扩张卷积与普通的卷积相比,除了卷积核的大小以外,还有一个扩张率(dilation rate)参数,主要用来表示扩张的大小。扩张卷积与普通卷积的相同点在于,卷积核的大小是一样的,在神经网络中即参数数量不变,区别在于扩张卷积具有更大的感受野。感受...
In this paper, we propose a new end-to-end gated context aggregation network GCANet for image dehazing, in which the smoothed dilated convolution is used to avoid the gridding artifacts and a gated subnetwork is applied to fuse the features of different levels. Experiments show that GCANet can...
Motivated by this, we propose one novel Context-Gated Convolution (CGC) to explicitly modify the weights of convolutional layers adaptively under the guidance of global context. As such, being aware of the global context, the modulated convolution kernel of our proposed CGC can better extract ...
1、smoothed dilated convolution 上面的图表示的是原始的空洞卷积的工作,从图中不同颜色的块块可以看出,经过dilated rate(r)>1的空洞卷积后,输出的特征层中相邻的特征值与输入特征层是完全独立的,没有相互依赖的关系,我们可以知道,图像是具有局部相关性的,同理,特征层也应该保留这个特性。