Tashkent International University of Education

GeoProtoNet: texture-aware few-shot lithology classification from rock imagery using frozen DINOv2 features

Abstract Rapid lithology identification on open-pit bench faces is typically performed manually by geologists, yet it is subjective, inconsistent under variable field conditions, and cannot be scaled to the large image volumes required by conventional supervised deep learning. We...