2024
Hyper Evidential Deep Learning to Quantify Composite Classification Uncertainty
ICLR 2024poster
Deep neural networks (DNNs) have been shown to perform well on exclusive, multi-class classification tasks. However, when different classes have similar visual features, it becomes challenging for human annotators to differentiate them. When an image is ambiguous, such as a blurry one where an annot…