Wuzhou Quan

Perceive, Act and Correct: Confidence Is Not Enough for Hyperspectral Classification

Confidence alone is often misleading in hyperspectral image classification, as models tend to mistake high predictive scores for correctness while lacking awareness of uncertainty. This leads to confirmation bias, especially under sparse annotations or class imbalance, where models overfit confident