Deep Learning for Computer Vision Quiz 1: 7 July 2024 (May 2024 term)

26 more questions in this paper

Sign in with Google — it is free — to see every question with its answer and explanation, practise it in learning mode, or take it as a timed mock test.

1. Q4Which of the following statements is True?2 marks
2. Q5In Bilateral filtering, we do not reject the pixels whose values differ too much from the…2 marks
3. Q6Which of the following is the Fourier image of the given intensity image?2 marks
4. Q7Identify the correct sequence of steps in Scale Invariant Feature Transform (SIFT) method…2 marks
5. Q8Question 82 marks
6. Q9Question 92 marks
7. Q10In RANSAC, what is the probability that the algorithm never selects a whole set of inlier…2 marks
8. Q11Suppose we have a codebook of 2048 SIFT visual words. We extract 1000 SIFT descriptors (S…2 marks
9. Q12Question 122 marks
10. Q13Question 132 marks
11. Q14Consider a Convolutional Neural Network which processes an RGB image. It has 128 kernels …2 marks
12. Q15Question 152 marks
13. Q16NOTE: Enter your answer in two decimal places.2 marks
14. Q17What is the size of the feature map after applying two successive convolution operations …2 marks
15. Q18Let an input to a convolutional layer in a CNN have size Df × Df × M where Df = 64 and M …2 marks
16. Q19Fill in the blank for (a)1 mark
17. Q20Fill in the blank for (b)_1 mark
18. Q21Fill in the blank for (a)_2 marks
19. Q22Fill in the blank for (b) _1 mark
20. Q23Fill in the blank for (c) _1 mark
21. Q24Fill in the blank for (a):2 marks
22. Q25Fill in the blank for (b):2 marks
23. Q26Based on the above data, answer the given subquestions.1 mark
24. Q27Based on the above data, answer the given subquestions.1 mark
25. Q28Based on the above data, answer the given subquestions.1 mark
26. Q29Based on the above data, answer the given subquestions.1 mark