In my experience in computer vision research it doesn’t matter what you use, yes, immediate mode is slightly more convenient, but research time is influenced much more by your computing power, dataset acqusition/labeling/relabeling power and, last but not the least, by code quality and easy and efficient collaboration - thats why you need tools like DVC/Argoproj. We did get amazing results using Caffe v1 back in the day.
I agree. I haven’t encountered a strong preference in academic computer vision or machine learning. Keras and PyTorch, dominate, of course, but I wouldn’t be shocked if everyone started using something new in the future.
