This is a PyTorch implementation of the paper A Cosine Similarity-based Method for Out-of-Distribution Detection. The poster is available here.

How to run the code:

1. Install requirements. Run pip install -r requirements.txt to install dependencies.
2. Setup environment variables (dataset and checkpoints paths) to .env file. See .env.example for refference.
3. Run scripts from experiment/Benchmark folder. We use hydra for configuration. See experiment/Benchmark/configs for net and and detector options.