AI RESEARCH
Rethinking Weak Supervision in Anomaly Detection: A Comprehensive Benchmark
arXiv CS.AI
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ArXi:2605.26068v1 Announce Type: cross Weakly supervised anomaly detection (WSAD) has developed in three primary directions: incomplete, inexact, and inaccurate supervision. However, these directions remain isolated, lacking a unified framework to assess whether they address unique challenges or share fundamental mechanics. This paper