PyTorch-OOD provides reusable infrastructure for out-of-distribution detection research. It brings methods, datasets, pretrained models, and benchmark utilities together behind consistent interfaces and score semantics.
The project began as the software presented at the CVPR 2022 Workshops and has continued to develop beyond that publication. This page treats the library as the continuing project; individual papers and other outputs are listed below.
