ASBench is the first dedicated benchmark for anomaly synthesis algorithms, assessing them on generalization across datasets, synthetic-to-real data ratios, metric correlations, and hybrid strategies.
Denoising diffusion prob- abilistic models.Advances in neural information processing systems, 33:6840–6851, 2020
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ASBench: Image Anomalies Synthesis Benchmark for Anomaly Detection
ASBench is the first dedicated benchmark for anomaly synthesis algorithms, assessing them on generalization across datasets, synthetic-to-real data ratios, metric correlations, and hybrid strategies.