AHGC clusters labeled and unlabeled images into subgraphs with a hierarchical graph cut, assigns pseudo-labels to unlabeled in-distribution images, and reports large FPR95 gains on CIFAR-10 and CIFAR-100 SC-OOD benchmarks.
Result- based re-computation for error-tolerant classification by a support vector machine,
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Adaptive Hierarchical Graph Cut for Multi-granularity Out-of-distribution Detection
AHGC clusters labeled and unlabeled images into subgraphs with a hierarchical graph cut, assigns pseudo-labels to unlabeled in-distribution images, and reports large FPR95 gains on CIFAR-10 and CIFAR-100 SC-OOD benchmarks.