tianshuocong / T3A

A simple implementation for T3A (NeurIPS 2021 Spotlight)

T3A-Test-time-classifier-adjustment

A simple implementation for T3A (NeurIPS 2021 Spotlight)

• This is a simple PyTorch implementation for the paper Test-Time Classifier Adjustment Module for Model-Agnostic Domain Generalization.

• The official implementation is here

• The source model is trained on CIFAR-10, the training code & checkpoints are from here

• Try python utility.py to compare the utility of the source model and a T3A-based model.