Computer Vision MCQ Test: Computer Vision MCQs - Practice Questions
1. In computer vision, what is the purpose of a convolutional layer in a neural network?
2. In the context of image compression, what is the purpose of the discrete cosine transform (DCT)?
3. Which method is commonly used for image segmentation in medical imaging?
4. What is the purpose of non-maximum suppression in object detection algorithms?
5. Which technique is commonly used for image registration?
6. What is the purpose of the Leaky ReLU activation function in neural networks?
7. Which metric is commonly used for evaluating image classification models?
8. What is the purpose of the activation function in a neural network?
9. What is the purpose of the Mean-Shift algorithm in image segmentation?
10. Which type of neural network is commonly used for image generation?
11. What is the purpose of batch normalization in neural networks?
12. Which technique is commonly used for image thresholding?
13. Which algorithm is commonly used for face recognition in computer vision applications?
14. In the context of object detection, what is the significance of anchor boxes?
15. In the context of deep learning, what does CNN stand for?
16. What is the purpose of max pooling in convolutional neural networks?
17. Which technique is commonly used for object detection in images?
18. Which image representation is commonly used for feature matching in computer vision?
19. Which technique is commonly used for facial recognition in unconstrained environments?
20. Which metric is commonly used to evaluate the performance of object detection algorithms?
21. What is the primary purpose of the VGG (Visual Geometry Group) network architecture?
22. What is the significance of attention mechanisms in computer vision models?
23. Which technique is commonly used for object tracking in video analysis?
24. What is the purpose of a filter in the context of image processing?
25. What is the purpose of the intersection over union (IoU) metric in object detection evaluation?
26. What is the primary advantage of using dilated convolutions in convolutional neural networks?
27. Which algorithm is commonly used for image segmentation?
28. Which technique is commonly used for instance segmentation?
29. Which method is commonly used for image super-resolution?
30. Which method is commonly used for unsupervised learning in computer vision?
31. Which optimization technique is commonly used for training deep neural networks?
32. What does ROI stand for in the context of computer vision?
33. Which technique is commonly used for removing noise from images?
34. What is the purpose of the non-local means algorithm in image denoising?
35. What is the purpose of the FPN (Feature Pyramid Network) architecture in object detection?
36. Which neural network architecture is commonly used for semantic segmentation tasks?
37. What is the primary advantage of using an ensemble of models in computer vision tasks?
38. Which technique is commonly used for image captioning?
39. Which type of neural network is commonly used for image classification?
40. What is the purpose of the Wasserstein distance in generative models?
41. Which method is commonly used for camera calibration in computer vision?
42. Which term refers to the process of converting continuous image values into discrete levels?
43. Which technique is commonly used for image registration in medical imaging?
44. Which technique is commonly used for image inpainting?
45. What is the primary goal of feature extraction in computer vision?
46. Which technique is commonly used for depth estimation in stereo vision?
47. Which step is essential in the pre-processing of images for deep learning models?
48. What is the purpose of the Hough Transform in image processing?
49. What is the primary goal of the PASCAL VOC (Visual Object Classes) dataset?
50. What is the purpose of the Batch Normalization layer in neural networks?