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Regularization schemes for transfer learning with convolutional networks

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Figure 1.1: Illustration of a neuron and an activation. ϕ is the activation function, b is the bias, and the output y can be also referred as activation or activity.
Figure 2.3: Illustration of a fully convolutionalized network. A simple convolutional network with two fully connected layers at the end is fully convolutionalized
Figure 2.4: Illustration of a fully convolutional network proposed by Long et al.
Figure 2.6: Illustration of the pooling pyramid module proposed by Zhao et al. [2017].
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