Jun-Chen Liu

Prototype-Aware Ambiguity Mining for Tail-Sensitive Visual Recognition

Long-tailed image datasets often produce classifiers that appear reliable under average accuracy but remain fragile on rare visual categories. Existing reweighting and focal-style objectives reduce this bias from label counts or prediction loss, yet they do not explicitly measure whether a minority-class embedding is d...