A Implementation details We utilize ResNet-18 backbone [

To reduce the gradient variance, we average the final optimization objective (Eq. We set = 10 in all experiments. These results demonstrate that HUME can improve by employing stronger self-supervised representations. We use DINOv2 large pretrained model. Stronger self-supervised representations lead to better performance.