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2D illustration of the fully convolutional network (FCN). Given an input 2D image, FCN first extracts multiple local image patches in a grid with the step size of np via the first max-pooling operation (with the kernel size of k × k). Here, we denote the orange and blue blocks as two p × p patches. The estimated displacements of these two grid-sampled patches are the two 1 × 1 × 3Nl elements in the outputs of FCN for one specific landmark.
