Computer Vision MCQ Test: Computer Vision MCQs - Practice Questions
1. What is the purpose of the SIFT (Scale-Invariant Feature Transform) algorithm in computer vision?
2. In the context of deep learning, what does CNN stand for?
3.
4. Which technique is commonly used for depth estimation in stereo vision?
5. In the context of neural style transfer, what role does the content loss play?
6. Which technique is commonly used for fine-grained image classification?
7. Which technique is commonly used for facial recognition in unconstrained environments?
8. Which term refers to the process of labeling pixels in an image with corresponding object classes?
9. In the context of image compression, what is the purpose of the discrete cosine transform (DCT)?
10. What is the primary advantage of using dilated convolutions in convolutional neural networks?
11. Which algorithm is commonly used for face recognition in computer vision applications?
12. What is the purpose of the activation function in a neural network?
13. What does ROI stand for in the context of computer vision?
14. What is the main purpose of image preprocessing in computer vision?
15. Which step is essential in the pre-processing of images for deep learning models?
16. What is the purpose of the Wasserstein distance in generative models?
17. What is the purpose of the non-local means algorithm in image denoising?
18. Which metric is commonly used to evaluate the performance of object detection algorithms?
19. Which technique is commonly used for object tracking in video analysis?
20. Which type of neural network is commonly used for image generation?
21. Which method is commonly used for camera calibration in computer vision?
22. What is the primary advantage of using an ensemble of models in computer vision tasks?
23. Which method is commonly used for unsupervised learning in computer vision?
24. Which image representation is commonly used for facial recognition applications?
25. In the context of object detection, what is the significance of anchor boxes?
26. Which technique is commonly used for image registration in medical imaging?
27. Which type of neural network is commonly used for image classification?
28. What is the primary goal of the COCO (Common Objects in Context) dataset?
29. Which technique is commonly used for image colorization?
30. Which algorithm is commonly used for image segmentation?