The IIT Madras BS Deep Learning for Computer Vision (Deep Learning for Computer Vision) Quiz 1 paper sat on 19 Jul 2026, in the May 2026 term: 13 questions for 13 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.
In the Canny edge detector, which is the correct order of major steps?
Non-maximum suppression → Gaussian smoothing → gradient computation → hysteresis thresholding
Gaussian smoothing → gradient computation → non-maximum suppression → hysteresis thresholding
Gradient computation → Gaussian smoothing → hysteresis thresholding → non-maximum suppression
Gaussian smoothing → hysteresis thresholding → non-maximum suppression → gradient computation
Correct answer
Gaussian smoothing → gradient computation → non-maximum suppression → hysteresis thresholding
Which is True?
Nesterov momentum looks ahead and often converges faster than classical momentum.
large fixed learning rate always speeds convergence.
Adam uses only a first-moment estimate of gradients.
None of these.
Correct answer
Nesterov momentum looks ahead and often converges faster than classical momentum.
Correct order of SIFT stages is:
Orientation → Descriptor → Localization → Extrema Detection
Extrema Detection → Localization → Orientation → Descriptor
Extrema Detection → Descriptor → Localization → Orientation
None of these
Correct answer
Extrema Detection → Localization → Orientation → Descriptor
Which of the following 3 × 3 kernels is separable?
Correct answer
Consider the following pyTorch code:
tensor([0.09, 0.24, 0.67])
tensor([0.09, 0.24, 0.66])
tensor([0.09, 0.23, 0.68])
tensor([0.10, 0.27, 0.63])
Correct answer
tensor([0.09, 0.24, 0.67])
A written answer, not marked automatically.
A written answer, not marked automatically.
A written answer, not marked automatically.
A written answer, not marked automatically.
The degrees of freedom for affine transformations in 3D is __
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A written answer, not marked automatically.
A written answer, not marked automatically.
A written answer, not marked automatically.
