Quiz Space

Deep Learning for Computer Vision · Quiz 1 · 13 Jul 2025 · May 2025 term

Deep Learning for Computer Vision Quiz 1 13 Jul 2025 — Question 3

Question 3

+2 marksOne correct option

Which of the following statements is True?

  1. A

    Gaussian filter is a separable filter because it is linear.

  2. B

    Median filter is a non-separable filter.

  3. C

    Gaussian filter is a high-pass filter.

  4. D

    Mean filter is a non-separable filter because it is non-linear.

Show answer

Correct answer

  • A

    Gaussian filter is a separable filter because it is linear.

See the whole paperTake it as a mock test

Question 3 of 34 in the IIT Madras BS Deep Learning for Computer Vision (Deep Learning for Computer Vision) Quiz 1 paper sat on 13 Jul 2025, in the May 2025 term (IIT M DEGREE AN EXAM QDB2 13 July 2025). It carries 2 marks.

More questions from this paper

  1. Q1Figure question
  2. Q2Which of the following statements is false?
  3. Q4Figure question
  4. Q5Figure question
  5. Q6Identify the correct sequence of steps in a Canny edge detection pipeline. Steps are listed below: Compute gradient mag…
  6. Q7Figure question
  7. Q8During the double thresholding step in Canny edge detection, the high threshold is set at 100 and the low threshold is …
  8. Q9Match the derivative of activation functions f(x) with their counterparts on the right column accordingly. | 1) Leaky R…
  9. Q10Figure question
  10. Q11Which of the following statements are True?
  11. Q12Figure question
  12. Q13Figure question
  13. Q14Figure question
  14. Q15Which of the following statements are true?(Select all that apply)
  15. Q16Which of the following statements are true ?(Select all that apply)
  16. Q17Consider the following statements. Which of the following statements are true?
  17. Q18Figure question
  18. Q19Which of the following statements are false?
  19. Q20Consider the grayscale image shown below: \begin{bmatrix} 12 & 18 & 22 & 25 & 30 \ 20 & 15 & 17 & 21 & 23 \ 25 & 19 & 2…
  20. Q21Figure question
  21. Q22Given a 2 \times 2 second moment matrix of edge pixels: M = \begin{bmatrix} 1 & 2 \ 2 & 1 \end{bmatrix} obtained during…
  22. Q23Figure question
  23. Q24Figure question
  24. Q25Figure question
  25. Q26Figure question
  26. Q27Consider the following numpy array \text{arr} = \begin{bmatrix} 5 & 6 \ 7 & 8 \end{bmatrix} Now consider the following …
  27. Q28Consider the following numpy array \text{arr} = \begin{bmatrix} 1 & 2 \ 3 & 4 \end{bmatrix} Now consider the following …
  28. Q29Enter the correct answer for Blank (a):\ NOTE: Enter the exact answer without any extra space in the beginning or at th…
  29. Q30Enter the correct answer for Blank (b):\ NOTE: Enter the exact answer without any extra space in the beginning or at th…
  30. Q31Enter the correct answer for Blank (a) :\ NOTE: Enter the exact answer without any extra space in the beginning or at t…
  31. Q32Enter the correct answer for Blank (b) :\ NOTE: Enter the exact answer without any extra space in the beginning or at t…
  32. Q33What is the dimensionality of the Bag-of-Words (BoW) feature vector for this\ image?
  33. Q34If instead, you concatenate all the 1200 descriptors into a single vector (without using BoW), what will be the dimensi…