Indian Institute of Technology Madras
BS Degree Programme · Examination & Study Paper
Deep Learning for Computer Vision
Quiz 1 · 26 Oct 2025 (Afternoon)
Examination Instructions & Guidelines
- Solve on notebook/paper first before checking solutions.
- MCQ: Exactly 1 option is correct. Negative marking applies.
- MSQ: One or more options correct. Select all to score.
- NAT: Numerical response. No negative marking.
- Scientific calculator allowed for all calculations.
- Official answer key is sealed at the end of this sheet.
- Q1MCQ2 Marks·Choose one option

- A130.00
- B127.50
- C125.00
- D120.00
- Q2MCQ2 Marks·Choose one option
Which of the following statements is false?
- ABilateral filtering is a non-linear, edge-preserving local operation.
- BMedian filtering is a linear filtering operation.
- CHistogram matching uses CDFs to map intensities between images.
- DUnsharp masking implements a high-boost (high-pass) effect.
- Q3MCQ2 Marks·Choose one option
Which of the following statements is True?
- A

- B

- C

- D

- A
- Q4MCQ2 Marks·Choose one option
Which filter leaves the center pixel unchanged for any image under convolution?
- A

- B

- C

- D

- A
- Q5MCQ2 Marks·Choose one option

- A0.9829, 4.05, 1, 4.0673, 4.05, 4.05
- B0.8808, 3.50, 1, 3.54, 3.50, 3.50
- C0.7311, 2.00, 1, 2.13, 2.00, 2.00
- D0.5000, 0.00, 0, 0.69, 0.00, 0.00
- Q6MCQ2 Marks·Choose one option
Choose the correct sequence for Canny edge detection: 1. Smooth with Gaussian 2. Compute gradient magnitude & direction 3. Non-maximum suppression 4. Double thresholding (strong/weak) 5. Edge tracking by hysteresis
- A2 → 1 → 3 → 4 → 5
- B1 → 2 → 3 → 4 → 5
- C1 → 3 → 2 → 4 → 5
- D3 → 1 → 2 → 5 → 4
- Q7MCQ2 Marks·Choose one option
Correct order of SIFT stages is:
- AOrientation→ Descriptor → Localization → Extrema Detection
- BExtrema Detection → Localization→ Orientation→ Descriptor
- CExtrema Detection → Descriptor → Localization → Orientation
- DNone of these
- Q8MCQ2 Marks·Choose one option
In double thresholding, T_(high) = 120, T_(low) = 50. A pixel with gradient magnitude 45 is classified as:
- AStrong edge
- BWeak edge
- CNon-edge
- DAmbiguous
- Q9MCQ2 Marks·Choose one option

- A1→ii, 2→i, 3→iii, 4→iv
- B1→i, 2→ii, 3→iii, 4→iv
- C1→i, 2→iv, 3→ii, 4→iii
- D1→iv, 2→ii, 3→i, 4→iii
- Q10MCQ2 Marks·Choose one option
An RGB image goes through Conv layer: 64 kernels of size 7 x 7, stride 2, then MaxPool 3 x 3, stride 2. The receptive field of a pooling-layer neuron is:
- A7 x 7
- B9 x 9
- C11 x 11
- D13 x 13
- Q11MCQ2 Marks·Choose one option
Which is True?
- ANesterov momentum looks ahead and often converges faster than classical momentum.
- BA large fixed learning rate always speeds convergence.
- CAdam uses only a first-moment estimate of gradients.
- DNone of these
- Q12MCQ2 Marks·Choose one option

- A0.066
- B0.071
- C0.083
- D0.059
- Q13MCQ2 Marks·Choose one option

- A1→iii, 2→i, 3→v, 4→iv
- B1→i, 2→iii, 3→v, 4→ii
- C1→iii, 2→iv, 3→v, 4→ii
- D1→iii, 2→iv, 3→ii, 4→v
- Q14MCQ2 Marks·Choose one option

- A1→iii, 2→i, 3→ii
- B1→ii, 2→iii, 3→i
- C1→iii, 2→ii, 3→i
- DNone of these
- Q15MSQ3 Marks·Choose all correct options
Which statements are true? (Select all that apply)
- A

- B

- C

- D

- A
- Q16MSQ3 Marks·Choose all correct options
Which statements are true? (Select all that apply)
- A

- B

- C

- D

- A
- Q17MSQ3 Marks·Choose all correct options
About convolution and Fourier analysis, which are true?
- A

- B

- C

- D

- A
- Q18MSQ3 Marks·Choose all correct options
Which of the following 3 x 3 kernels are separable?
- A

- B

- C

- D

- A
- Q19MSQ3 Marks·Choose all correct options
Which statements are false?
- AMomentum maintains an EMA-like velocity of gradients/updates.
- BRMSProp normalizes step sizes by a running RMS of gradients.
- CIn the Adam optimizer, the hyper-parameters β_1 and β_2 control the exponential decay rates for the moving averages of the gradient and its squared vale. Adam with reduces to SGD with momentum. β_1 = 0 and β_2 = 0 reduces to SGD with momentum.
- DCosine-annealed warm restarts can help escape sharp minima.
- Q20NAT3 Marks·Write the number
Your answer: - Q21NAT3 Marks·Write the number
Your answer: - Q22NAT3 Marks·Write the number
Your answer: - Q23NAT3 Marks·Write the number
Your answer: - Q24NAT3 Marks·Write the number
Two successive convolutions each with: kernel 7 x 7, padding 3, stride 2. Input is 100 x 100. The final feature-map side length F is _________________.
Your answer: - Q25NAT3 Marks·Write the number
Your answer: - Q26NAT3 Marks·Write the number
NOTE: Enter your answer in three decimal places.Your answer: - Q27NAT3 Marks·Write the number
Your answer: - Q28NAT3 Marks·Write the number
Your answer: Read the passage below, then answer Q29–Q30
In Canny, increasing the high threshold tends to (a) _______________ false positives and (b) ____________ false negatives.
Based on the above data, answer the given subquestions.
Q29Short answer1.5 Marks·Write the answerEnter the correct answer for Blank (a) ________________ NOTE: Enter the exact answer without any extra space in the beginning or at the end.
Your answer:- Q30Short answer1.5 Marks·Write the answer
Enter the correct answer for Blank (b) ________________ NOTE: Enter the exact answer without any extra space in the beginning or at the end.
Your answer: Read the passage below, then answer Q31–Q32
During non-maximum suppression, comparisons are made along the gradient (a) _____________ to keep only local (b) _______________.
Based on the above data, answer the given subquestions.
Q31Short answer1.5 Marks·Write the answerEnter the correct answer for Blank (a) ________________ NOTE: Enter the exact answer without any extra space in the beginning or at the end.
Your answer:- Q32Short answer1.5 Marks·Write the answer
Enter the correct answer for Blank (b) ________________ NOTE: Enter the exact answer without any extra space in the beginning or at the end.
Your answer: Read the passage below, then answer Q33–Q34
The gradient of an image I points in the direction of the 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 common solution is to smooth the image prior to computing gradients.
Based on the above data, answer the given subquestions.
Q33Short answer1.5 Marks·Write the answerEnter the correct answer for Blank (a) ________________ NOTE: Enter the exact answer without any extra space in the beginning or at the end.
Your answer:- Q34Short answer1.5 Marks·Write the answer
Enter the correct answer for Blank (b) ________________ NOTE: Enter the exact answer without any extra space in the beginning or at the end.
Your answer:
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