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.
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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.