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Deep Learning Practice · End Term · 13 Sept 2026 · May 2026 term · Set S2

Question 29: Which of the following statements correctly describe an …

Question 29

+2 marksOne or more correct options

Which of the following statements correctly describe an encoder–decoder (U-Net style) architecture used for monocular depth estimation?

Select all that apply.

  1. A

    The encoder progressively reduces spatial resolution while increasing the number of feature channels, capturing high-level context.

  2. B

    Skip connections pass high-resolution features from the encoder directly to the decoder, helping recover fine spatial detail lost during downsampling.

  3. C

    The decoder uses transposed convolutions (or upsampling) to progressively restore the spatial resolution of the predicted depth map.

  4. D

    Global average pooling is applied after every decoder block to collapse spatial dimensions, since depth is a single global scalar.

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Correct answers

  • A

    The encoder progressively reduces spatial resolution while increasing the number of feature channels, capturing high-level context.

  • B

    Skip connections pass high-resolution features from the encoder directly to the decoder, helping recover fine spatial detail lost during downsampling.

  • C

    The decoder uses transposed convolutions (or upsampling) to progressively restore the spatial resolution of the predicted depth map.

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Question 29 of 31 in the IIT Madras BS Deep Learning Practice (Deep Learning Practice) End Term paper sat on 13 Sept 2026, in the May 2026 term (Deep Learning Practice 13 Sep 26 (Session 2)). It carries 2 marks.

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