Search Results for author:
Found 2 papers, 0 papers with code
Generating Self-Guided Dense Annotations for Weakly Supervised Semantic Segmentation
Finally, we derive pseudo pixel-level labels from these localization maps and use the pseudo labels as ground truth to train the semantic segmentation model.
Bayesian image segmentations by Potts prior and loopy belief propagation
This paper presents a Bayesian image segmentation model based on Potts prior and loopy belief propagation.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
