Probabilistic Joint Image Segmentation and Labeling

no code implementations • NeurIPS 2011 • Adrian Ion, Joao Carreira, Cristian Sminchisescu

We present a joint image segmentation and labeling model (JSL) which, given a bag of figure-ground segment hypotheses extracted at multiple image locations and scales, constructs a joint probability distribution over both the compatible image interpretations (tilings or image segmentations) composed from those segments, and over their labeling into categories.

Image Segmentation Segmentation +1