Artificial Intelligence & Machine Learning

Hard AI Vision Quiz: Test Your Expertise

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

#deep learning#computer vision#transformers#self-supervised#image segmentation

Total Questions

Difficulty Level

hard

Progress

0/0

Quiz Questions

Answer all questions below and test your knowledge.

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
Which self‑supervised approach learns visual features by matching representations of differently augmented views without using negative pairs?
Question 2
3
When evaluating instance segmentation, which metric penalizes both false positives and false negatives while accounting for overlap?
Question 3
4
In a denoising diffusion probabilistic model, the reverse process is typically parameterized to predict which quantity?
Question 4
5
Zero‑shot image classification with CLIP relies on which of the following during inference?
Question 5
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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