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...