1. The difference between instance, semantic and panoptic segmentation; how do we decide which is the best strategy for a given set of images and classes? 2. Working of RCNN-family of segmentation models. 3. Generic questions on some computer vision concepts: CNNs, interpretability of feature spaces, self-supervised representation learning, etc.
How do you prioritize your work
Mostly Resume Based Questions like what technology used etc
Some of the Machine Learning fundamentals in detail
Tell me about the time when you used finetuning for LLM models. How is LoRA different than QLoRA? Etc.
What is a dictonary used for, and is it mutible?
Why leaving your current company?
Name, address, phone number, email address
Past experiences and statistical questions
What were projects that I worked on, what technologies I used and what I learned from working those projects.
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