RefineNet Model

The go-to method for Semantic Segmentation has been deep CNN but this method has a limitation where the segmentation process is performed on down-sampled versions of input data, hence they perform poorly when it comes to high-resolution segmentation. This can be improved by other methods in a trade-off between, model implementation requirements like time and space for better resolution. An effective alternative solution is RefineNet Model.

Table of contents

IntroductionConventional MethodsRef...