#023 PyTorch - DeepLab v3+ for Semantic Segmentation in PyTorch

Highlights: The year 2017 was very fruitful for Google researchers working on semantic segmentation. Their proposed model called the DeepLab was significantly improved over several iterations. In their 4th paper, they present Version 3 of the same model. In this blog post, we will study the theoretical novelties of this version that utilizes the model developed and popularized in Version 2. We will also see how they frame the first model as the decoder part and add a novel encoder part where they employ the Xception model and depth-wise separable convolution. We will also dive into coding a full network in PyTorch.