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Uncertainty-aware Evaluation of Auxiliary Anomalies with the Expected Anomaly Posterior
In addition, learning an anomaly detector with limited (or no) anomalies often yields poor prediction performance.
Improving the Effectiveness of Deep Generative Data
Although looking appealing to human eyes, training a model on purely synthetic images for downstream image processing tasks like image classification often results in an undesired performance drop compared to training on real data.
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