====== Zkouška 2025 ======


**1. Deep Learning**
  * Visual Transformers, architecture (draw scheme)
  * Explain self attention mechanism, use appropriate math formulas
  * How are ViT better then CNN 

**2. Image Matching**
  * Describe SIFT algorithm, possible parametres
  * What are the pros/cons of local feature orientation
  * How to predict orientation using NN. Loss? What is the source of GT
  * How to take images of the same view so SIFT fails

**3. RANSAC**
  * Algorithm, parametres
  * Derive stopping criterium, what does it guarantee
  * Faster and more precise versions of RANSAC
  * How to use RANSAC to improve image retrieval

**4. Image Retrieval**
  * image retrieval task formulation
  * recall@k
  * average precision
  * how to change recall@k so it can be used as loss