Learning Random-Walk Label Propagation for Weakly-Supervised Semantic Segmentation
Learning Random-Walk Label Propagation for Weakly-Supervised Semantic Segmentation
Large-scale training for semantic segmentation is challenging due to the expense of obtaining training data for this task relative to other vision tasks. We propose a novel training approach to address this difficulty. Given cheaply-obtained sparse image labelings, we propagate the sparse labels to produce guessed dense labelings. A standard …