Vienna University Proposes MultiADS: A Zero-Shot Multi-Type Defect Recognition Method to Enhance Performance in Industrial Multi-Type Anomaly Detection and Segmentation Tasks!
Click the card to follow us Paper Title: MultiADS: Defect-aware Supervision for Multi-type Anomaly Detection and Segmentation in Zero-Shot Learning Paper Link:https://arxiv.org/abs/2504.06740 AI Insight Introduction The paper focuses on anomaly detection and segmentation in industrial applications, aiming to address the issue of existing methods being unable to recognize multiple types of defects. By proposing the … Read more