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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.
Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026
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medium 5/10
strict 0/5