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Author

A. Al Abri

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Preprint Aug 2026

Localizing to Debias: A Patch-Level Benchmark and Baseline for Weakly Supervised Spatial Anomaly Detection

SST-WSVADL is proposed, a sparse spatio-temporal framework that bridges temporal anomaly detection with fine-grained spatial localization and is competitive with prior methods across benchmarks while enabling localization and patch-level auditability of scene bias, providing a reproducible foundation for interpretabili...

S. Abdulaziz, A. Al Abri, Giacomo D'Amicantonio et al. · 1 citation

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