cs.CV

SPG: Sparse-Projected Guides with Sparse Autoencoders for Zero-Shot Anomaly Detection

arXiv:2604.02871v1 Announce Type: new
Abstract: We study zero-shot anomaly detection and segmentation using frozen foundation model features, where all learnable parameters are trained only on a labeled auxiliary dataset and deployed to unseen target …