Deep Learning semantic Segmentation Networks

Different algorithms have been introduced to segment objects based on the criteria like uniform colors, regular shapes, and nearby shadows. Since these algorithms are whether hard-coded or learned from selected features, have some limitations in terms of generalization. Furthermore, these algorithms' accuracies are low, and results are dependent on parameter selection due to manual feature extraction and the lack of big datasets and capable computers. For these reasons, the field of automatic feature extraction has been extensively studied for a long time. In addition, by emerging the neural networks and computers, which can process a huge amount of data in per seconds, a new approach was presented which stacks each layer of neural networks on top of each other to extract features automatically.