Computer Vision MCQ Test: Computer Vision MCQs - Practice Questions
1. Which algorithm is commonly used for face recognition in computer vision applications?
2. Which technique is commonly used for image inpainting?
3. Which optimization technique is commonly used for training deep neural networks?
4. In computer vision, what is the purpose of a convolutional layer in a neural network?
5. In the context of object detection, what is the significance of anchor boxes?
6. Which method is commonly used for camera calibration in computer vision?
7. Which algorithm is commonly used for image stitching in panorama creation?
8. In the context of neural style transfer, what role does the content loss play?
9. What is the purpose of max pooling in convolutional neural networks?
10. Which technique is commonly used for image dehazing?
11. Which technique is commonly used for image colorization?
12. Which technique is commonly used for image registration in medical imaging?
13. In the context of deep learning, what does CNN stand for?
14. What is the purpose of the non-local means algorithm in image denoising?
15. What is the primary advantage of using transfer learning in computer vision?
16. What is the purpose of a filter in the context of image processing?
17. Which technique is commonly used for facial recognition in unconstrained environments?
18. Which technique is commonly used for image deblurring?
19. Which type of neural network is commonly used for image classification?
20. What is the purpose of the Wasserstein distance in generative models?