Question 143 MCQ · 2.0 marks
54
10
0
18
A published solution is not available for this question yet.
Deep Learning for Computer Vision · Quiz 1 · Sep 2024
Deep Learning for Computer Vision · Quiz 1 · Sep 2024
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Question 144 MCQ · 2.0 marks
Which of the following statements is **false?**
Linear contrast stretching is a point operation.
Moving average is an example of local operation.
Convolution in the spatial domain can be obtained through addition in the
frequency domain.
All of these.
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Question 145 MCQ · 2.0 marks
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
A published solution is not available for this question yet.
Question 146 MCQ · 2.0 marks
0.18, 1.5, 1.5, 0.20,−1.5,−0.015
0.92, 2.5, 1, 2.5, 2.5, 1
0.18,−1.5, 0, 0.20, 0,−0.015
0.91, 1, 0, 0.2, 1, 1.7
A published solution is not available for this question yet.
Question 147 MCQ · 2.0 marks
Identify the correct sequence of steps in a Canny edge detection pipeline. Steps are listed below:
1. Compute gradient magnitude and direction
2. Connect individual components
3. Smoothen the image
4. Threshold into strong, weak, or no edge
5. Gaussian Filter and Hysteresis
6. Non-maximum suppression
7. Apply derivative to get edges
6→ 1→ 4→ 5 → 2
3→ 1→ 6→ 4 → 2
3→ 5→ 1→ 4 → 2
6→ 8→ 5→ 7 → 2
A published solution is not available for this question yet.
Question 148 MCQ · 2.0 marks
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.
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Question 149 MCQ · 2.0 marks
1→ iii, 2→ i, 3 → ii
1→ iii, 2→ ii, 3 → i
1→ ii, 2→ iii, 3 → i
None of these.
A published solution is not available for this question yet.
Question 150 MCQ · 2.0 marks
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
A published solution is not available for this question yet.
Question 151 MCQ · 2.0 marks
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
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Question 152 MCQ · 2.0 marks
5 × 5
7 × 7
9 × 9
3 × 3
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Question 153 MSQ · 2.0 marks
Which of the following statements are **false?**
Momentum in optimization can cause oscillations around minima when
encountering flat regions or saddle points due to the dominance of the momentum term over the
small gradient.
Stochastic Gradient Descent (SGD) with its inherent noise can be beneficial in
escaping local minima and saddle points, provided that there is enough gradient information in
the neighborhood.
Adagrad is an optimization algorithm introduced to overcome the diminishing
learning rate problem in techniques like RMSProp.
ADAM is introduced to solve problems in RMSProp by combining RMSProp and
Adagrad techniques.
A published solution is not available for this question yet.
Question 154 MSQ · 2.0 marks
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Question 155 MSQ · 2.0 marks
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Question 156 MSQ · 2.0 marks
Which of the following statements are **true**? (Select all that apply)
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Question 157 MSQ · 2.0 marks
Which of the following are **true**? (Select all that apply)
A published solution is not available for this question yet.
Question 158 SHORT_TEXT · 0.5 marks
The gradient of an image I, points in the direction of most rapid change in intensity, taking image
derivatives accentuates (a) ____________ frequencies and hence amplifies noise, since the
proportion of noise to signal is larger at (b) __________ frequencies. The solution to this is (c)
_________ the image prior to computing gradients.
Based on the above data, answer the given subquestions.
Enter the correct answer for (a).
**NOTE:** Enter the exact answer without any space in the beginning or at the end.
A published solution is not available for this question yet.
Question 159 SHORT_TEXT · 0.5 marks
The gradient of an image I, points in the direction of most rapid change in intensity, taking image
derivatives accentuates (a) ____________ frequencies and hence amplifies noise, since the
proportion of noise to signal is larger at (b) __________ frequencies. The solution to this is (c)
_________ the image prior to computing gradients.
Based on the above data, answer the given subquestions.
Enter the correct answer for (b).
**NOTE:** Enter the exact answer without any space in the beginning or at the end.
A published solution is not available for this question yet.
Question 160 SHORT_TEXT · 1.0 marks
The gradient of an image I, points in the direction of most rapid change in intensity, taking image
derivatives accentuates (a) ____________ frequencies and hence amplifies noise, since the
proportion of noise to signal is larger at (b) __________ frequencies. The solution to this is (c)
_________ the image prior to computing gradients.
Based on the above data, answer the given subquestions.
Enter the correct answer for (c).
**NOTE:** Enter the exact answer without any space in the beginning or at the end.
A published solution is not available for this question yet.
Question 161 SHORT_TEXT · 1.0 marks
In Canny edge detection, large value of the Gaussian kernel spread, σ leads to (a) __________ edges,
and small value of σ leads to (b) __________ edges.
Based on the above data, answer the given subquestions.
Enter the correct answer for (a).
**NOTE:** Enter the exact answer without any space in the beginning or at the end.
A published solution is not available for this question yet.
Question 162 SHORT_TEXT · 1.0 marks
In Canny edge detection, large value of the Gaussian kernel spread, σ leads to (a) __________ edges,
and small value of σ leads to (b) __________ edges.
Based on the above data, answer the given subquestions.
Enter the correct answer for (b) .
**NOTE:** Enter the exact answer without any space in the beginning or at the end.
A published solution is not available for this question yet.
Question 163 NAT · 0.5 marks
Based on the above data, answer the given subquestions.
Enter the correct answer for a11
A published solution is not available for this question yet.
Question 164 NAT · 0.5 marks
Based on the above data, answer the given subquestions.
Enter the correct answer for a12
A published solution is not available for this question yet.
Question 165 NAT · 0.5 marks
Based on the above data, answer the given subquestions.
Enter the correct answer for a21
A published solution is not available for this question yet.
Question 166 NAT · 0.5 marks
Based on the above data, answer the given subquestions.
Enter the correct answer for a22
A published solution is not available for this question yet.
Question 167 NAT · 2.0 marks
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Question 168 NAT · 2.0 marks
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Question 169 NAT · 2.0 marks
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Question 170 NAT · 2.0 marks
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Question 171 NAT · 2.0 marks
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