How to handle size-mismatch problems?
Computer Vision Researcher Interview Questions
66 computer vision researcher interview questions shared by candidates
What is max-pooling and why it's working? (KL divergence, SGD...)
Code the convolution layer in CNN
General interview and technical interview included questions on classic computer vision algorithms: homography, RANSAC, sift, etc. The technical interview included questions on detecting outliers, regression and statistics
* General Knowledge in CV * Task Spesific Knowledge and Case Study
leetcode coding questions (easy & medium)
Each interview consists of questions about your resume (past research projects/experience), general computer vision/machine learning questions (e.g. explain architectures of modern object detectors), then followed by 1-2 coding problems (LeetCode easy).
(1) Talk about your research. (2) A design question on labeling the multiple products from pictures taken by the phone. (3) Coding: Range sum query 2d - immutable
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?
They didn't have any real technical questions
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