The paper reports near-perfect OOD detection by fine-tuning a two-head CNN on the test data itself, which contaminates the evaluation.
Food-101 – mining discriminative components with random forests
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Unsupervised Out-of-Distribution Detection by Maximum Classifier Discrepancy
The paper reports near-perfect OOD detection by fine-tuning a two-head CNN on the test data itself, which contaminates the evaluation.