Computer Vision MCQ Test: Computer Vision MCQs - Practice Questions
1. Which technique is commonly used for depth estimation in stereo vision?
2. What is the purpose of a kernel in the context of convolutional neural networks?
3. Which technique is commonly used for image deblurring?
4. What is the primary purpose of the SSIM (Structural Similarity Index) metric in image quality assessment?
5. What does ROI stand for in the context of computer vision?
6. In the context of deep learning, what does CNN stand for?
7. Which term is commonly used to describe the process of reducing image size?
8. What is the primary advantage of using dilated convolutions in convolutional neural networks?
9. Which technique is commonly used for image colorization?
10. Which step is essential in the pre-processing of images for deep learning models?
11. What is the purpose of the non-local means algorithm in image denoising?
12. Which technique is commonly used for fine-grained image classification?
13. What is the primary purpose of image segmentation in computer vision?
14. Which technique is commonly used for object detection in images?
15. Which technique is commonly used for object tracking in video analysis?
16. Which algorithm is commonly used for face recognition in computer vision applications?
17. Which algorithm is commonly used for image stitching in panorama creation?
18. Which method is commonly used for image super-resolution?
19. What is the primary purpose of the VGG (Visual Geometry Group) network architecture?
20. Which image representation is commonly used for feature matching in computer vision?