receptive field has grown significantly. 10、Reduce the Gaussian Damage(增大有效感受野) New Initialization. One simple way to increase the effective receptive field is to manipulate theinitial weights. We propose a new random weight initialization scheme that makes the weights at thecenter of the ...
论文解读《Understanding the Effective Receptive Field in Deep Convolutional Neural Networks》 感知野的概念尤为重要,对于理解和诊断CNN网络是否工作,其中一个神经元的感知野之外的图像并不会对神经元的值产生影响,所以去确保这个神经元覆盖的所有相关的图像区域是十分重要的;需要对输出图像的单个像素进行预测的任务,...
有效感受野--Understanding the Effective Receptive Field in Deep Convolutional Neural Networks,程序员大本营,技术文章内容聚合第一站。
as the output must respond to large enough areas in the image to capture information about large objects. We introduce the notion of an effective receptive field, and show that it both has a Gaussian distribution and only
内容提示: Understanding the Effective Receptive Field inDeep Convolutional Neural NetworksWenjie Luo ∗ Yujia Li ∗ Raquel Urtasun Richard ZemelDepartment of Computer ScienceUniversity of Toronto{wenjie, yujiali, urtasun, zemel}@cs.toronto.eduAbstractWe study characteristics of receptive f i elds of...
Understanding the Effective Receptive Field in Deep Convolutional Neural Networks NIPS 2016 本文主要分析了 CNN 网络中的Receptive Field,发现实际有效的感受野 和理论上的感受野 差距比较大,实际有效的感受野是一个高斯分布。 We introduce the notion of an erf、erfc公式及其函数值表查询 1.误差函数erf(也称为...
Effective receptive fieldDilated convolutionDeep convolutional neural networks trained with strong pixel-level supervision have recently significantly boosted the performance in semantic image segmentation. The receptive field is a crucial...doi:10.1007/s11042-018-5704-3Yongge Liu...
We introduce the notion of an effective receptive field, and show that it both has a Gaussian distribution and only occupies a fraction of the full theoretical receptive field. We analyze the effective receptive field in several architecture designs, and the effect of nonlinear activations, dropout...
zero if the input is less than zero and returns the input unchanged otherwise. In other words, it clips negative values to zero. Note that there are many other possible choices for the activation function (see figure 3.13), but the ReLU is the most commonly used and the easiest to ...
Understanding the Effective Receptive Field in Deep Convolutional Neural Networks 相关参考 https://zhuanlan.zhihu.com/p/86599013 ERF比理论感受野小 近似成高斯分布 subsampling、diation conv 可增大ERF 训练过程中ERF不断增大