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ml-recall

#smooth-l1

1 question from Object Detection

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Question 1: Short answer

mediumAI-checkedObject Detection

The smooth ℓ1\ell_1 loss with hyperparameter σ\sigma is f(x)={(σx)2/2,∣x∣<1/σ2,∣x∣−0.5/σ2,otherwise.f(x) = \begin{cases} (\sigma x)^2/2, & |x| < 1/\sigma^2,\\ |x| - 0.5/\sigma^2, & \text{otherwise.}\end{cases} With σ=2\sigma = 2, what is f(0.2)f(0.2)?

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