Struggling with Chebyshev Filter Integration in CNN — Any Advice? [R]

Hey everyone,

I’m currently working on a project where I’m trying to integrate a Chebyshev filter into a CNN architecture to improve performance compared to a baseline model. The idea is to leverage the filter (either in preprocessing or as part of the network pipeline) to enhance feature extraction, but so far my results are… basically the same as the baseline 😅

I’ve experimented with a few variations (different filter parameters, placements in the pipeline, etc.), but I’m not seeing any meaningful improvement in accuracy. At this point, I’m wondering if I’m missing something fundamental in how this should be applied, or if the benefit just isn’t that significant in practice.

Has anyone here worked on something similar or tried combining classical signal processing techniques like Chebyshev filters with CNNs?

Where did you integrate the filter (input preprocessing vs inside the network)?

Did it actually help performance?

Any tips on tuning or pitfalls to avoid?

I’m kind of stuck right now and my supervisor is expecting some progress soon, so I’d really appreciate any pointers or even papers/repos I could look into.

Thanks in advance!