Marco Körner

DirPA: Addressing prior shift in imbalanced few-shot crop-type classification

Real-world agricultural monitoring is often hampered by severe class imbalance and high label acquisition costs, resulting in significant data scarcity. In few-shot learning (FSL) —a framework specifically designed for data-scarce settings—, training sets are often artificially b...