GATE-AD: Graph Attention Network Encoding for Few-Shot Industrial Visual Anomaly Detection

GATE-AD employs graph attention networks with masked reconstruction to detect industrial anomalies from few normal samples, achieving state-of-the-art accuracy with faster inference across benchmarks.

Aggelos Psiris, Yannis Panagakis, Maria Vakalopoulou, Georgios Th. Papadopoulos

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026