Utilizing Google Images for Training Classifiers in CRF-Based Semantic Segmentation

• Published in: Journal of advanced computational intelligence and intelligent informatics Vol. 20; no. 3; pp. 455 - 461
• Main Authors: Rangkuti, Rizki Perdana, Dewanto, Vektor, Aprinaldi, Jatmiko, Wisnu
• Format: Journal Article
• Language: English
• Published: 20.05.2016

One promising approach to pixel-wise semantic segmentation is based on conditional random fields (CRFs). CRF-based semantic segmentation requires ground-truth annotations to supervisedly train the classifier that generates unary potentials. However, the number of (public) annotation data for trainin...