Hard AI Vision Quiz: Test Your Expertise

A rigorous set of questions probing state‑of‑the‑art visual AI methods.

deep learningcomputer visiontransformersself-supervisedimage segmentation
Difficulty:HARD

Quiz Details

Questions6
CategoryArtificial Intelligence & Machine Learning
DifficultyHARD
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Quiz Questions

Answer all questions below and test your knowledge.

  1. 1

    In a Vision Transformer, decreasing the patch size from 16×16 to 8×8 most directly affects which aspect of the model?

    Question 1
  2. 2

    Which self‑supervised approach learns visual features by matching representations of differently augmented views without using negative pairs?

    Question 2
  3. 3

    When evaluating instance segmentation, which metric penalizes both false positives and false negatives while accounting for overlap?

    Question 3
  4. 4

    In a denoising diffusion probabilistic model, the reverse process is typically parameterized to predict which quantity?

    Question 4
  5. 5

    Zero‑shot image classification with CLIP relies on which of the following during inference?

    Question 5
  6. 6

    A model trained on Cityscapes often underperforms on night‑time driving scenes because of which type of bias?

    Question 6

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