Now, my team is developing a application quite similarity as https://www.celebslike.me of Microsoft Corp before (2016). We seperate the asual canonical pipeline of face recognition system into 3 phrase:

• Phase 1: Face Detection + Face Aligment
• Phase 2: Face Embedding
• Phase 3: Face matching / Face recognion or something like face similarity.

At (3) we use the technical that is the embedded vectors got from a given model that ours is from Facenet in this case to conjunct with Elasticsearch for similarity search.

We are still implementing above solution for now but personally I want to research some nice solutions (if any) for my knowledge also help to improve our product better.

How do you think about another solution(s) for this phase (3) ?

Any ideas are welcome !