Towards Practical Algorithm Selection for Unsupervised Domain Adaptation in Medical Imaging
This work proposes a label-free criterion that jointly selects the algorithm and hyperparameters for UDA, and achieves better selection performance than other methods and remains effective across different algorithm pools.