What projects have you worked on in the past? Why did you use this algorithm. Explain project's pipeline?
Computer Vision Interview Questions
1,052 computer vision interview questions shared by candidates
Differences between tensors and vectors/arrays
I was asked about the intuition of Low Pass Filters, High Pass Filters etc.
What have you done during you project？
How does a convolution work
What is histogram equalization? What feature detectors and descriptors are you aware of? What object detection models are you aware of? Some details about MaskRCNN?
If you have a sorted set of numbers, write a function that returns the position(s) of an input number How would you develop a face recognition algorithm to recognize faces that are at a resolution less than 30x30 pixels? How would you develop a face recognition algorithm to mitigate pose and illumination variances? What are the advantages of a Support Vector Machine classifier? What is a kernel function in a Support Vector Machine? What is the difference between backpropagation and gradient descent?
Simple Algorithm Question. Also some computer vision questions.
1. What are some points not related to work where you disagreed with your teammates. 2. Why do you want to join this team. 3, Implement gradient descent in python 4. What do you know about transformer architecture etc
Image Processing Techniques
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