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Harbin Institute of Technology, State Key Laboratory of Smart Farm Technologies and Systems
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SAGE boosts worst-group accuracy by up to 7.7 percentage points, tackling the pervasive issue of spurious correlations in machine learning without relying on prior group labels.
Achieve near-perfect (99.89%) accuracy in detecting rice deterioration using only olfactory and visual data, ditching the need for costly hyperspectral cameras.
