Quiz Space

Deep Learning for Computer Vision · End Term · 13 Apr 2025 · January 2025 term · Set 1-2

Question 7: Which one of the following statements is false? (Pick the…

Question 7

+2 marksOne correct option

Which one of the following statements is false? (Pick the most appropriate one.)

  1. A

    Attention mechanisms cannot be applied to the bidirectional RNN model

  2. B

    An image captioning network cannot be trained end-to-end even though weare using 2 different modalities to train the network

  3. C

    One of the key components in the vanilla transformer is the recurrentconnection that help them to deal with variable input length.

  4. D

    All of these.

Show answer

Correct answer

  • D

    All of these.

See the whole paperTake it as a mock test

Question 7 of 47 in the IIT Madras BS Deep Learning for Computer Vision (Deep Learning for Computer Vision) End Term paper sat on 13 Apr 2025, in the January 2025 term (IIT M IMPROVEMENT FN EXAM QIM2 13 Apr). It carries 2 marks.

This question was also asked in

More questions from this paper

  1. Q1Why does DETR typically exhibit poor performance in detecting small objects compared to larger ones? Choose the best an…
  2. Q2Which one of the following statements is false?
  3. Q3What is the correct order of operations for processing an image through a Vision Transformer (ViT)?
  4. Q4Vector Quantized Variational Autoencoder (VQ-VAE) utilizes a discrete latent representation as opposed to continuous la…
  5. Q5Given two normalized embeddings from CLIP, I = [0.2,−0.5, 0.3, 0.4] for an image and T = [−0.1, 0.6, −0.3,−0.7] for a t…
  6. Q6Which one of the following statements regarding hyperparameter tuning is false?
  7. Q8Figure question
  8. Q9Figure question
  9. Q10Figure question
  10. Q11In which one of the following applications would you use a one- to-many RNN architecture? Choose the most appropriate a…
  11. Q12Why might Segment Anything (SAM) be particularly useful in data annotation tasks compared to traditional segmentation m…
  12. Q13Which of the following techniques help control the exploding or vanishing gradient problem in recurrent neural networks?
  13. Q14Which of the following statements are true? (Select all possible correct options)
  14. Q15Which of the following statements are true ? (Select all possible correct options)
  15. Q16Which of the following statements about CLIP are TRUE? (Select ALL that apply)
  16. Q17Which of the following statements are true?(Select ALL that apply)
  17. Q18Figure question
  18. Q19Figure question
  19. Q20Figure question
  20. Q21Consider a reverse process in a diffusion model where the goal is to reconstruct the original data from the noise. If t…
  21. Q22Figure question
  22. Q23Figure question
  23. Q24Figure question
  24. Q25Based on the above data, answer the given subquestions.
  25. Q26Based on the above data, answer the given subquestions.
  26. Q27Element 1:
  27. Q28Element 2:
  28. Q29Element 3:
  29. Q30Element 4:
  30. Q31Consider the BLIP model architecture with an input (image-text pair) as shown below:\ For each of the given entities, e…
  31. Q32Consider the BLIP model architecture with an input (image-text pair) as shown below:\ For each of the given entities, e…
  32. Q33Consider the BLIP model architecture with an input (image-text pair) as shown below:\ For each of the given entities, e…
  33. Q34Consider the BLIP model architecture with an input (image-text pair) as shown below:\ For each of the given entities, e…
  34. Q35Consider the BLIP model architecture with an input (image-text pair) as shown below:\ For each of the given entities, e…
  35. Q36Consider the BLIP model architecture with an input (image-text pair) as shown below:\ For each of the given entities, e…
  36. Q37Consider the BLIP model architecture with an input (image-text pair) as shown below:\ For each of the given entities, e…
  37. Q38Consider the BLIP model architecture with an input (image-text pair) as shown below:\ For each of the given entities, e…
  38. Q39Consider the BLIP model architecture with an input (image-text pair) as shown below:\ For each of the given entities, e…
  39. Q40Consider the BLIP model architecture with an input (image-text pair) as shown below:\ For each of the given entities, e…
  40. Q41Consider the BLIP model architecture with an input (image-text pair) as shown below:\ For each of the given entities, e…
  41. Q42Sigmoid
  42. Q43Linear
  43. Q44Indicator Function _
  44. Q45Softplus _
  45. Q46Relu _
  46. Q47Leaky-Relu