Inconsistency Masks: Removing the Uncertainty from Input-Pseudo-Label Pairs

• Main Authors: Vorndran, Michael R. H, Roeck, Bernhard F
• Format: Journal Article
• Language: English
• Published: 25.01.2024
• Subjects: Computer Science - Computer Vision and Pattern Recognition

Efficiently generating sufficient labeled data remains a major bottleneck in deep learning, particularly for image segmentation tasks where labeling requires significant time and effort. This study tackles this issue in a resource-constrained environment, devoid of extensive datasets or pre-existing...