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University College London, Moorfields Eye Hospital NHS Foundation Trust, UCL Hawkes Institute
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Achieving fully supervised segmentation accuracy with only 0.7% of the training data labeled could revolutionize OCT image analysis.
Evaluator quality for robotic policies hinges more on long-horizon consistency than on short-term visual fidelity, reshaping our approach to world model design.
Treating raw visual images as action representations revolutionizes embodied control, outperforming traditional methods in accuracy and generalization.
