A dual-process vision system improves segmentation accuracy by spending more inference-time compute, using a fast predictor and a slow self-play refiner, reporting gains on cancer localisation with only 8-16 labels.
Therapeutic advances in urology 14, 17562872221128791 (2022)
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Reasoning in machine vision by learning fast and slow thinking
A dual-process vision system improves segmentation accuracy by spending more inference-time compute, using a fast predictor and a slow self-play refiner, reporting gains on cancer localisation with only 8-16 labels.