OmniAL: A Unified CNN Framework for Unsupervised Anomaly Localization

Figure 1. OmniAL is a unified framework for unsupervised anomaly localization. As shown in (c), OmniAL not only simplifies existing learning paradigm from (a) Separate: N models for N classes to (b) Unified: one model for N classes but also produces high quality anomaly localization results. Results in (a) and (b) are from separate and unified models of JNLD [38] on MVTecAD [1] dataset.