Learning the Distribution: A Unified Distillation Paradigm for Fast Uncertainty Estimation in Computer Vision

31 Jul 2020Yichen ShenZhilu ZhangMert R. SabuncuLin Sun

Calibrated estimates of uncertainty are critical for many real-world computer vision applications of deep learning. While there are several widely-used uncertainty estimation methods, dropout inference stands out for its simplicity and efficacy... (read more)

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