1. What is the purpose of bias in Nueral network. 2. What is the purpose of Weight initialization.
Computer Vision Engineer Interview Questions
734 computer vision engineer interview questions shared by candidates
dive deep into my projects and asked a lot of details
MAnagement questions, Convolution, Correlation, and other signal processing questions, basics of ML
What is better in the vision language model, early fusion of image and text tokens, or late fusion?
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.
Do you take ZZZ into account when you evaluate the performance?
Why you choose XXX method in your master thesis but not YYY?
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?
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