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Fi-ImageNet-1k: An OOD Benchmark From the Inside of the ImageNet-1k Validation Set
Out-of-distribution (OOD) detection predicts whether a test image belongs to none of the predefined classes. To evaluate this task, benchmarks need images from outside the in-distribution (ID) data; typically, these are defined or collected in an ad hoc fashion. Since no ground truth is perfect, ID-
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