Averaging pixel attribution maps over multiple MC Dropout forward passes, plus a coefficient-of-variation risk map, raises ADCC scores over single-pass baselines on pCLE and ImageNet.
Towards better un- derstanding of gradient-based attribution methods for Deep Neural Networks
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Explainable Image Classification with Reduced Overconfidence for Tissue Characterisation
Averaging pixel attribution maps over multiple MC Dropout forward passes, plus a coefficient-of-variation risk map, raises ADCC scores over single-pass baselines on pCLE and ImageNet.