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S. Abdulaziz

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Preprint Aug 2026

Auditing Frame-Level AUC in Weakly Supervised Video Anomaly Detection: Granularity, Resolution, and Scene Bias

Frame-level area under the ROC curve (AUC) is the dominant evaluation metric for weakly supervised video anomaly detection (WSVAD). Its standard form measures whether an anomalous frame outranks a normal frame drawn from anywhere in the test set. We refer to this comparison as pooled AUC, since it aggregates frame pair...

S. Abdulaziz, E. Bondarev · 3 citations
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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