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Architecture of the proposed CNN model. The proposed network includes two phases: feature representation phase and scores map reconstruction phase. The feature representation phase is composed of 5 downsampling blocks (conv-ReLU-pool layer), 4 convolution layers, and 4 ReLU layers. The scores map reconstruction phase consists of 5 upsampling blocks (deconv-concat-conv-ReLU layer), a convolution layer, and an ReLU layer. K, filter size; P, zero padding; S, stride.
