#foundation-models

• 18 Aug 2025 · Paper summary

  Paper summary: DINOv3

  DINOv3 scales self-supervised vision training and introduces Gram anchoring to stop dense feature maps from degrading during long training, producing a frozen backbone that beats specialised models across many tasks.

• 13 Nov 2023 · Paper summary

  Paper summary: Florence-2: Advancing a Unified Representation for a Variety of Vision Tasks

  Florence-2 is a single sequence-to-sequence vision model that takes a text prompt as the task instruction and answers in text, covering captioning, detection, grounding and segmentation, trained on 5.4B annotations.