Computer Vision MCQ Test: Computer Vision MCQs - Practice Questions
1. What is the primary purpose of transfer learning in computer vision?
2. What is the purpose of the Hough Transform in image processing?
3. What is the primary advantage of using dilated convolutions in convolutional neural networks?
4. What is the purpose of the FPN (Feature Pyramid Network) architecture in object detection?
5. Which technique is commonly used for facial landmark detection?
6. Which method is commonly used for unsupervised learning in computer vision?
7. What is the purpose of the LSTMs (Long Short-Term Memory) in sequence-to-sequence tasks in computer vision?
8. Which algorithm is commonly used for image segmentation?
9. Which technique is commonly used for image captioning?
10. What is the purpose of a filter in the context of image processing?
11. What is the purpose of the Wasserstein distance in generative models?
12. What is the purpose of the activation function in a neural network?
13. Which method is commonly used for image recognition in the presence of occlusions?
14. Which method is commonly used for image segmentation in medical imaging?
15. Which method is commonly used for image forgery detection?
16. In the context of neural style transfer, what role does the content loss play?
17. Which technique is commonly used for image deblurring?
18. Which technique is commonly used for image colorization?
19. What is the primary goal of the PASCAL VOC (Visual Object Classes) dataset?
20. What is the primary purpose of image segmentation in computer vision?
21. What is the purpose of the intersection over union (IoU) metric in object detection evaluation?
22. What is the primary purpose of the SSIM (Structural Similarity Index) metric in image quality assessment?
23. What is the primary purpose of the VGG (Visual Geometry Group) network architecture?
24. What is the purpose of a kernel in the context of convolutional neural networks?
25. What is the purpose of max pooling in convolutional neural networks?
26. What is the purpose of the Mean-Shift algorithm in image segmentation?
27. In computer vision, what does the acronym OCR stand for?
28. Which type of neural network is commonly used for image classification?
29. What is the purpose of the Batch Normalization layer in neural networks?
30. What is the purpose of the non-local means algorithm in image denoising?
31. In the context of object detection, what is the significance of anchor boxes?
32. In the context of image enhancement, what is the purpose of the Laplacian pyramid?
33. Which algorithm is commonly used for image stitching in panorama creation?
34. What is the significance of attention mechanisms in computer vision models?
35. What is the purpose of the SIFT (Scale-Invariant Feature Transform) algorithm in computer vision?
36. Which method is commonly used for camera calibration in computer vision?
37. What is the primary goal of feature extraction in computer vision?
38. Which neural network architecture is commonly used for semantic segmentation tasks?
39. Which technique is commonly used for image registration in medical imaging?
40. Which technique is commonly used for object detection in images?