Dataset - LDM

OpenOOD: Benchmarking Generalized Out-of-distribution Detection

OpenOOD is a benchmarking dataset for generalized out-of-distribution detection.
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Diffusion Denoising Process for Perceptron Bias in Out-of-distribution Detection

Out-of-distribution (OOD) detection is a crucial task for ensuring the reliability and safety of deep learning. The dataset used in this paper is CIFAR10, CIFAR100, and ImageNet.
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