Classifier Calibration

The second stage of the two-stage long-tailed recognition paradigm, in which, with the feature encoder fixed, classification boundaries are adjusted via logit adjustment, τ-normalization, resampling, or reweighting to mitigate prediction bias caused by class imbalance.