WSADBench unifies WSAD evaluation across three supervision types, runs 700K experiments on 36 algorithms and 4 modalities, and finds strong correlations between scenarios plus performance boundaries favoring general models except in extreme label scarcity.
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Rethinking Weak Supervision in Anomaly Detection: A Comprehensive Benchmark
WSADBench unifies WSAD evaluation across three supervision types, runs 700K experiments on 36 algorithms and 4 modalities, and finds strong correlations between scenarios plus performance boundaries favoring general models except in extreme label scarcity.