BootOOD Revolutionizes Out-of-Distribution Detection in Image Classification
In the realm of image classification, the ability to detect out-of-distribution (OOD) samples is paramount, especially in safety-sensitive applications. However, current methods often falter when OOD samples bear a semantic resemblance to the in-dist









