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GeoMAD achieves superior anomaly detection by seamlessly integrating geometric correspondence with distributional consistency, all while maintaining efficiency in 2D feature-space learning.
Effective multi-view anomaly detection hinges on restricting information flow, as demonstrated by GLAD's superior performance in managing cross-view data.
