12/12
Paper: arxiv.org/pdf/2507.11569
Code: t.co/F76HkJOIBT
#FoundationModels #MedicalImaging #BreastMRI #ImageRegistration #ZeroShot #SAM #DINOv2 #MedAI
🐇Into the Rabbit Hull — Part 1: A Deep Dive into DINOv2🧠
Our latest Deeper Learning blog post is an #interpretability deep dive into one of today’s leading vision foundation models: DINOv2.
📖Read now: bit.ly/4nNfq8D
Stay tuned — Part 2 coming soon.
#AI #VLMs #DINOv2
Unsupervised Transformer Pre‑Training for Images: DINOv2 Survey
DINOv2 beats weakly supervised models like OpenCLIP on vision benchmarks using multi‑crop augmentation and a mean‑teacher self‑distillation setup (Oct 2025). Read more: getnews.me/unsupervised-transformer... #dinov2 #selfsupervised
DINOv2 Clustering with Dirichlet Process for Medical Anomaly Detection
Researchers used DINOv2 embeddings with a Dirichlet Process Mixture model for unsupervised medical anomaly detection, halving inference time while matching benchmark accuracy. getnews.me/dinov2-clustering-with-d... #dinov2 #anomalydetection
out of the box
12/12
Congratulations to the team for this work: Hanxue Gu Yaqian Chen @nickkonz.bsky.social Qihang Li @mazurowski.bsky.social
#FoundationModels #MedicalImaging #BreastMRI #ImageRegistration #ZeroShot #SAM #DINOv2 #MedAI