Hard to See, Hard to Label: Generative and Symbolic Acquisition for Subtle Visual Phenomena

ArXi:2604.22990v1 Announce Type: new Subtle visual anomalies such as hairline cracks, sub-millimeter voids, and low-contrast inclusions are structurally atypical yet visually ambiguous, making them both difficult to annotate and easy to overlook during active learning. Standard acquisition heuristics based on discriminative uncertainty or feature diversity often overselect dominant patterns while underexploring sparse yet important regions of the data space.