FickleNet: Weakly and Semi-Supervised Semantic Image Segmentation Using Stochastic Inference
FickleNet: Weakly and Semi-Supervised Semantic Image Segmentation Using Stochastic Inference
The main obstacle to weakly supervised semantic image segmentation is the difficulty of obtaining pixel-level information from coarse image-level annotations. Most methods based on image-level annotations use localization maps obtained from the classifier, but these only focus on the small discriminative parts of objects and do not capture precise boundaries. …