CV Interview Topics:
1. What is Computer Vision?
2. Define an Image
3. Purpose of Grayscaling
4. Object Localization
5. What are Anchor Boxes and their use
6. Mach band effect
7. How to evaluate predictions of Object Detections
8. Main steps in CV pipeline
9. Semantics Segmentation V/S Instance Segmentation
10. How to decide when to grayscale an image?
11. Noise Filters
12. Image processing algorithms like: Edge Detection, Fourier Transforms etc.
13. Erosion V/S Dilation
14. Opening V/S Closing
15. Feature Detection V/S Feature Extraction
16. Image Augmentation
17. Linear V/S Non Linear Filters
18. Various CNN architectures
GAN Interview Topics:
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GAN V/S Transformers
Generator V/S Discriminator and how do they combine to give good results
Training a GAN (Concept only not the math behind it)
Working of GAN
Advantages and disadvantages of GAN
Types of GAN models