2023
Re-Thinking Classification Confidence with Model Quality Quantification
IROS 2023poster
Deep neural networks using for real-world classification task require high reliability and robustness. However, the Softmax output by the last layer of network is often over-confident. We propose a novel confidence estimation method by considering model quality for deep classification models. Two me…