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A semi-generative approach to object placement achieves a superior balance between efficiency and effectiveness, outperforming traditional methods.
Seemingly distinct approaches to weakly supervised anomaly detection are more alike than different, and often outperformed by standard tabular models given sufficient (even weak) supervision.
