Jimin Xiao

DriftRemover: Hybrid Energy Optimizations for Anomaly Images Synthesis and Segmentation

2024

This paper tackles the challenge of anomaly image synthesis and segmentation to generate various anomaly images and their segmentation labels to mitigate the issue of data scarcity. Existing approaches employ the precise mask to guide …

Normal-Abnormal Guided Generalist Anomaly Detection

2025

Generalist Anomaly Detection (GAD) aims to train a unified model on an original domain that can detect anomalies in new target domains. Previous GAD methods primarily use only normal samples as references, overlooking the valuable …