Fine-tuned ViT achieves best calibration with MAE 0.52 and within-1 accuracy 91% in clinical scoring task.

Researchers introduce SteerViT, a method enabling natural language control over Vision Transformer attention maps, allowing users to steer visual focus with text prompts.