Abstract
Semantic segmentation is one of the great open-ended problems in computer vision. This problem consists in classifying each pixel present in an image, delimiting an object. Convolutional neural networks have been shown to be efficient in detecting, identifying and segmenting objects in images. However, during the segmentation process, some problems arise, such as loss of spatial informati…