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。
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,...
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 ...
UnderstandingtheEffectiveReceptiveFieldinDeepConvolutionalNeuralNetworksNIPS 2016 本文主要分析了 CNN 网络中的ReceptiveField,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 introducethenotion of an erf、erfc公式及其函数值表查询 ...
Understanding the Effective Receptive Field in Deep Convolutional Neural Networks 理解深度卷积神经网络中的有效感受野 Abstract摘要 We study characteristics of receptive fields of units in deep convolutional networks. The receptive field size is a crucial issue in many visual tasks, as the output mus...
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...
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 ...
Consumer data is central to offering effective customer experiences that cater to customers’ evolving needs. Based on their expectations, consumers constantly, and often unconsciously evaluate the retailer’s performance in abiding by the explicit or implied terms of data exchange with both beneficial ...
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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