RADIOv2.5 adds multi-resolution training, mosaic augmentation, and one-shot token merging, producing vision encoders that stay accurate across resolutions and improve VLM and dense-task performance over earlier baselines.
Token merging for fast stable diffusion.2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPR W), pages 4599–4603, 2023
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RADIOv2.5: Improved Baselines for Agglomerative Vision Foundation Models
RADIOv2.5 adds multi-resolution training, mosaic augmentation, and one-shot token merging, producing vision encoders that stay accurate across resolutions and improve VLM and dense-task performance over earlier baselines.