arts (91.1%), obtained by Chen et al. (2023). As DINOv2 leads to features that are strong in both the linear
and ﬁnetuning settings, a strong property of our approach is that ﬁnetuning is optional.
DINOv2- Learning Robust Visual Features without Supervision