Fast Unsupervised Bayesian Image Segmentation With Adaptive Spatial Regularisation

Fast Unsupervised Bayesian Image Segmentation With Adaptive Spatial Regularisation  Abstract: This paper presents a new Bayesian estimation technique for hidden Potts-Markov random fields with unknown regularisation parameters, with application to fast unsupervised K-class image segmentation. The technique is derived by first removing the regularisation parameter from the Bayesian model by marginalisation, followed by a small-variance-asymptotic […]


Image Piece Learning for Weakly Supervised Semantic Segmentation

Image Piece Learning for Weakly Supervised Semantic Segmentation Abstract: The task of semantic segmentation is to infer a predefined category label for each pixel in the image. For most cases, image segmentation is established as a fully supervised task. These methods all built on the basis of having access to sufficient pixel-wise annotated samples for […]