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cs.CV2026
V-REX: Efficient Specialist VLM Training for Veterinary X-Rays
Tim Elsner, Nicole McNally, Andre Dourson +1
While generalist VLMs are expensive to train, creating domain experts is widely assumed to require fine-tuning increasingly large foundation models. We show that, in veterinary rad…
cs.CV2025
VET-DINO: Learning Anatomical Understanding Through Multi-View Distillation in Veterinary Imaging
Andre Dourson, Kylie Taylor, Xiaoli Qiao +1
Self-supervised learning has emerged as a powerful paradigm for training deep neural networks, particularly in medical imaging where labeled data is scarce. While current approache…