The dogma of the last decade in computer vision is that all classical algorithms should be replaced by neural networks. This has been very productive but, counterintuitively, with the latest frontier models, I find myself sometimes turning back to classical methods.
If you have
A lot of algorithms, especially in geometry are difficult to code and very delicate.
Now, thanks to frontier models we can try those ideas out.
Not everything needs to be solved using a big hammer of neural networks.