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The architecture of the used inception module in FCN2. The module has parallel processing paths with filters of different sizes, i.e.: 1 × 1, 3 × 3, and 5 × 5 convolutions, and 3 × 3 average pooling layers. The resulted feature maps are then concatenated in the final layer.
