Hello!

I’m trying to create an image recognition functionality, where the user takes photos and sends it to my server and I check if the photo contains an image I previously registered to my server.

I found out about a paper and its implementation

https://github.com/cl199443/Deep-Semantic-Feature-Matching

I currently think feature-matching is what I look for.

Question it, is there a automatic way to train a feature network to also store feature patterns it’s seen before and matched to target images?

Or do you have any other workflow suggestions to tackle this problem? Thanks

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Edit: I need this solution to be a zero-shot learning solution.