no code implementations • ICLR 2023 • Hariprasath Govindarajan, Per Sidén, Jacob Roll, Fredrik Lindsten
With this interpretation, DINO assumes equal precision for all components when the prototypes are also $L^2$-normalized.
Ranked #24 on Self-Supervised Image Classification on ImageNet
Self-Supervised Image Classification Self-Supervised Learning +1