Question 1
+2 marksOne or more correct optionsSelect all that apply.
- A
- B
- C
- D

The IIT Madras BS Deep Learning for Computer Vision (Deep Learning for Computer Vision) Quiz 1 paper sat on 7 Jul 2024, in the May 2024 term: 29 questions for 50 marks in 120 minutes. Every question is below with its answer. Take it as a timed mock test to be marked, or read it through first.
Correct answers
Correct answers
Which of the following are true? (Select all that apply)
Correct answers
Which of the following statements is True?
Gaussian filter is Separable filter because it is non linear.
Median filter is a non separable filter
Gaussian filter is a High Pass filter.
Mean filter is a non separable filter because it is non linear
Correct answer
Median filter is a non separable filter
In Bilateral filtering, we do not reject the pixels whose values differ too much from the central pixel value.
TRUE
FALSE
Correct answer
FALSE
Which of the following is the Fourier image of the given intensity image?
Correct answer
Identify the correct sequence of steps in Scale Invariant Feature Transform (SIFT) method. Steps listed below:
1. Keypoint Descriptor
2. Keypoint Localization
3. Scale-space Extrema Detection
4. Orientation Estimation
4→ 2→ 1→ 3
3→ 2→ 4→ 1
3→ 1→ 2→ 4
None of these
Correct answer
3→ 2→ 4→ 1
1→iii, 2 → ii , 3→ i , 4 → iv
1→iv, 2→ i , 3 → ii , 4→ iii
1→ii, 2 → iii , 3→ iv , 4→ i
None of these
Correct answer
1→ii, 2 → iii , 3→ iv , 4→ i
1→ iii, 2→ i, 3 → ii
1→ iii, 2→ ii, 3 → i
1→ ii, 2→ iii, 3 → i
None of these
Correct answer
1→ iii, 2→ i, 3 → ii
In RANSAC, what is the probability that the algorithm never selects a whole set of inliers from 20 data points (which has 5 inliers in total) for k = 2 time steps? Here, n = 2 is the minimum number of samples to fit a model.
0.2
0.93
0.87
0
Correct answer
0.87
Suppose we have a codebook of 2048 SIFT visual words. We extract 1000 SIFT descriptors (SIFT is a 128-dimensional feature) from a new image. What is the dimensionality of the BoW (Bag-of-Words) descriptor?
1000
128
128 × 2048
2048
Correct answer
2048
1→ iii, 2→ ii, 3 → vi, 4→ i
1→ v, 2→i, 3 → vi, 4→ iii
1→ iii, 2→ i, 3 → ii, 4 → v
1→ ii, 2→ v, 3 → iv, 4→ iii
Correct answer
1→ ii, 2→ v, 3 → iv, 4→ iii
1→ vi, 2→ iii, 3→ v, 4 → i
1→ i, 2→ iv, 3 → iii, 4→ ii
1→ i, 2→ v, 3 → iii, 4→ iv
1→ iv, 2→ iii, 3→ ii, 4 → i
Correct answer
1→ iv, 2→ iii, 3→ ii, 4 → i
Consider a Convolutional Neural Network which processes an RGB image. It has 128 kernels each of spatial dimension 5 × 5 in the first layer. They are convolved with a stride 1. This is followed by a max-pooling layer with stride 2 and kernel size 5 × 5. What would be the receptive field size of a single neuron in the pooling layer? (Recap: A receptive field is the size of the region in the input image, which influences the activation of that specific neuron.)
5 × 5
7 × 7
9 × 9
3 × 3
Correct answer
9 × 9
Consider the grayscale image shown below:
If a median filter with a neighborhood is applied to this image with a stride of 1 and no padding, __________ will be the value at position in the filtered image? (Assume that the top-left pixel coordinate of output image is addressed as )?
Correct answer: 30
NOTE: Enter your answer in two decimal places.
Correct answer: -0.33
What is the size of the feature map after applying two successive convolution operations with given parameters? Image size = 64 x 64, Kernel size = 6 x 6, Padding = 1 and Stride = 2. (In calculation, take floor(x) whenever x is non-integer. If the answer is FxF, write F in the blank). ___________
Correct answer: 14
Let an input to a convolutional layer in a CNN have size Df × Df × M where Df = 64 and M = 16, and output feature map (after passing input through conv layer) has Df × Df × N size where N = 8. Let the kernel in the conv layer be k × k where k = 3. Calculate the number of parameters for this convolution layer. (Assume appropriate padding is applied for all convolutions so the input and output sizes are equal. Ignore the bias term in the calculation).
Correct answer: 1152
Based on the above data, answer the given subquestions.
Fill in the blank for (a)________________
Correct answer: 2
Based on the above data, answer the given subquestions.
Fill in the blank for (b)_____________________
Correct answer: 5
Based on the above data, answer the given subquestions.
Fill in the blank for (a)_____________________
Correct answer: high
Based on the above data, answer the given subquestions.
Fill in the blank for (b) _____________________
Correct answer: high
Based on the above data, answer the given subquestions.
Fill in the blank for (c) _____________________
Correct answer: smooth
Based on the above data, answer the given subquestions.
Fill in the blank for (a):
Correct answer: thick or coarse or large scale
Based on the above data, answer the given subquestions.
Fill in the blank for (b):
Correct answer: fine
Based on the above data, answer the given subquestions.
Correct answer: 1
Based on the above data, answer the given subquestions.
Correct answer: 0.5
Based on the above data, answer the given subquestions.
Correct answer: 0
Based on the above data, answer the given subquestions.
Correct answer: 1