Quiz Space

Deep Learning for Computer Vision · End Term · 1 Sept 2024 · May 2024 term

Deep Learning for Computer Vision End Term 1 Sept 2024 — Question 3

Question 3

+2 marksOne correct option

Match the following:

  1. A

    1→ iii, 2→ iv, 3 →i, 4 → ii

  2. B

    1→ iii, 2→ i, 3 → ii, 4 → v

  3. C

    1→ iii, 2→ iv, 3 →v, 4 → ii

  4. D

    1→ iv, 2→ iii, 3 → i, 4→ ii

Show answer

Correct answer

  • C

    1→ iii, 2→ iv, 3 →v, 4 → ii

Question 3 of 34 in the IIT Madras BS Deep Learning for Computer Vision (Deep Learning for Computer Vision) End Term paper sat on 1 Sept 2024, in the May 2024 term (IIT M DEGREE AN EXAM QDB3 01 Sep 2024). It carries 2 marks.

More questions from this paper

  1. Q1What is the role of the Gaussian blur in the Canny edge detection algorithm, and how does the choice of the standard de…
  2. Q2Consider the following orientation of edges s: Choose the correct matching:
  3. Q4Consider the following statements and choose the correct option:\ (i) Grad-CAM overcame the problems of previous works …
  4. Q5Which one of the following statements regarding hyperparameter tuning is True?
  5. Q6Which of the following is the correct sequence of steps of the SIFT algorithm?\ Using the Taylor series expansion of th…
  6. Q7Figure question
  7. Q8Which one of the following distance measures is used to compare two images in dense registration through optical flow?
  8. Q9Which one of the following statements is false?
  9. Q10What can we do with a generative model?\ Match the following (select one among the options provided below): | 1) Discri…
  10. Q11Figure question
  11. Q12Figure question
  12. Q13Figure question
  13. Q14Figure question
  14. Q15Consider a vanilla transformer network at time step ’t’ shown below: For each of the entities above, enter the appropri…
  15. Q16Consider a vanilla transformer network at time step ’t’ shown below: For each of the entities above, enter the appropri…
  16. Q17Consider a vanilla transformer network at time step ’t’ shown below: For each of the entities above, enter the appropri…
  17. Q18Consider a vanilla transformer network at time step ’t’ shown below: For each of the entities above, enter the appropri…
  18. Q19Consider a vanilla transformer network at time step ’t’ shown below: For each of the entities above, enter the appropri…
  19. Q20Consider a vanilla transformer network at time step ’t’ shown below: For each of the entities above, enter the appropri…
  20. Q21Consider a vanilla transformer network at time step ’t’ shown below: For each of the entities above, enter the appropri…
  21. Q22Consider a vanilla transformer network at time step ’t’ shown below: For each of the entities above, enter the appropri…
  22. Q23Consider a vanilla transformer network at time step ’t’ shown below: For each of the entities above, enter the appropri…
  23. Q24Based on the above data, answer the given subquestions.
  24. Q25Based on the above data, answer the given subquestions.
  25. Q26Based on the above data, answer the given subquestions.
  26. Q27Which one of the following statements is true?
  27. Q28Which of the following statements are true? (Select all possible correct options)
  28. Q29In adversarial robustness literature, which of the following are white box attacks?
  29. Q30Consider a Faster R-CNN object detection framework, which is being trained with a minibatch size of 2. The RPN produces…
  30. Q31Match the following computer vision tasks to situations:
  31. Q32Which of the following tasks are the Vision Language tasks?
  32. Q33Generative Adversarial Networks (GANs) are widely used to generate new images. Many GAN- based architectures have been …
  33. Q34Which of the following is not a self-supervised learning method?