Uncertainty Estimates as Data Selection Criteria to Boost Omni-Supervised Learning
Lorenzo Venturini, Aris T. Papageorghiou, J. Alison Noble, Ana I. L. Namburete
Topics & Concepts
Computer scienceSegmentationArtificial intelligenceDropout (neural networks)Machine learningTest dataSørensen–Dice coefficientSelection (genetic algorithm)Labeled dataPattern recognition (psychology)Supervised learningData miningImage segmentationArtificial neural networkProgramming languageDomain Adaptation and Few-Shot LearningAdvanced Neural Network ApplicationsInfrastructure Maintenance and Monitoring