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The proposed CNN configuration: numbers at the top represent the dimension of the patch, numbers at the bottom represent feature maps dimension, layers are either convolution, pooling or ReLU, filter size is (5×5) for the first 7 layers, (3×3) for the next 5 layers and the last two layers are fully connected, output is either F (foreground) or G (background).
