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cs.CV2025
Another BRIXEL in the Wall: Towards Cheaper Dense Features
Alexander Lappe, Martin A. Giese
Vision foundation models achieve strong performance on both global and locally dense downstream tasks. Pretrained on large images, the recent DINOv3 model family is able to produce…
cs.CV2025
Register and [CLS] tokens yield a decoupling of local and global features in large ViTs
Alexander Lappe, Martin A. Giese
Recent work has shown that the attention maps of the widely popular DINOv2 model exhibit artifacts, which hurt both model interpretability and performance on dense image tasks. The…