arXiv cs.CV
· Papers
DirPA: Addressing Prior Shift in Imbalanced Few-shot Crop-type Classification
arXiv:2603.12905v2 Announce Type: replace-cross Abstract: 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 a