AI RESEARCH
DinoDental: Benchmarking DINOv3 as a Unified Vision Encoder for Dental Image Analysis
arXiv CS.CV
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ArXi:2603.28297v1 Announce Type: new The scarcity and high cost of expert annotations in dental imaging present a significant challenge for the development of AI in dentistry. DINOv3, a state-of-the-art, self-supervised vision foundation model pre-trained on 1.7B images, offers a promising pathway to mitigate this issue. However, its reliability when transferred to the dental domain, with its unique imaging characteristics and clinical subtleties, remains unclear. To address this, we