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What is Cascade Inference Confidence Calibration about?

This paper presents Learning to Cascade (LtC), a novel confidence calibration method aimed at improving the accuracy and computational efficiency of cascade inference systems that utilize deep learning models. The proposed method optimizes a new loss term alongside the original loss term to enhance the reliability of confidence scores, which are crucial for decision-making in critical applications. Experiments demonstrate that LtC consistently outperforms existing calibration techniques, achieving a better

Author

nightsnackc

Language

EN