ml-recall

#bounding-box-regression

3 questions from Object Detection

Timed test

3 questions · 3 min · score and explanations at the end

Take a test

Q 1 / 3Score 0 / 0

Shuffle questions

Question 1: Short answer

mediumAI-checkedObject Detection

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

Enter: check / next