Easy to medium Leetcode. Explain Vision Transformers. Autoencoders.
Computer Vision Engineer Interview Questions
735 computer vision engineer interview questions shared by candidates
They asked about deep learning theory, and the process of developing a deep learning application.
Background y preguntas sencillas sobre ML
Explain about the pipe-line of image matching, feature extraction, etc..
Which augmentations did I use? What are the techniques did I use to increase mAP?
1) Why dilated convolutions are better than normal convolutions for image segmentation?
Most questions in both interviews had to do with my research background in Computer Vision and the job requirements. I wasn't asked any technical questions.
Please describe the project you worked on before.
Experience in ML, general ML questions, algorithm/data structure
Tell me about yourself? Why you applied to this company?
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