Diving into Deep Convolutional Semantic Segmentation Networks and Deeplab_V3

Deep Convolutional Neural Networks (DCNNs) have achieved remarkable success in various Computer Vision applications. Like others, the task of semantic segmentation is not an exception to this trend. This piece provides an introduction to Semantic Segmentation with a hands-on TensorFlow implementation. We'll go over one of the most relevant papers on Semantic Segmentation of general objects -- Deeplab_v3. Regular image classification DCNNs have similar structure. These models take images as input and output a single value representing the category of that image. Usually, classification DCNNs have four main operations. Note that in this setup, we categorize an image as a whole.