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Computer Vision Intern Interview Questions
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C++ question, difference between shallow copying and deep copying
3. Take home test - implement a method of Facial landmark localization from a paper called 'Supervised Descent Method and its Applications to Face Alignment' from 2013. Note - the instruction they provide implies it's more of a coding task, but they actually expect you to have a deep understanding of everything: * How the SIFT/HoG descriptors are computed and why? * Why augmentations are needed? * What's better to have and why (in terms of prediction accuracy) - one model to predict all landmark points or a different model for each point.
Why we don't use softwax activation for a pose estimation problem
Are you interested in developing on Camera?
Questions regarding the background of my past projects
where are you from dear?
How would you send an encoded message in an image. First encode it, then write code to decode it.
The coding challenge was a simple algorithm/data structure based question.
How much dada is required for transfer learning
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