They did not ask me anything directly. All questions came through a form they sent before the technical challenge. The form asked for personal information, my availability to work in a hybrid schedule, and whether I was able to attend an in-person interview at their office.
About bias in machine learning
Do you take ZZZ into account when you evaluate the performance?
Why you choose XXX method in your master thesis but not YYY?
I was asked about my C++ programming skills and then asked some questions about camera calibration, projective geometry etc.
8. What are transformers?
6. What is Image Segmentation?
5. If we have a GAN predicting cars and we want it to predict Flowers, how do we do that? How do we tell the discriminator that the incoming image is a flower?
1. Explain the architecture of Resnet and how is it better than EfficientNet?
The equation of a plane, DBSCAN clustering
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