CADS is a conformal-prediction-driven model cascade that routes images to scout or oracle models based on estimated complexity to reduce inference cost while preserving accuracy.
To validate the conformal routing, we compared the APS conformal routing against standard uncertainty measures, including Max Softmax, Entropy, and Margin
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CADS: Conformal Adaptive Decision System for Cost-Efficient Image Classification
CADS is a conformal-prediction-driven model cascade that routes images to scout or oracle models based on estimated complexity to reduce inference cost while preserving accuracy.