Hi, thanks for your impressive work on face recognition.
I have trained an FR model on the MS1MV2 dataset with ArcFace and test on my private dataset, I noticed that in the verification part, you find the best accuracy by grid searching threshold value between 0 and 4 with 0.01 diff point. The threshold with the best accuracy on my private dataset is 1.3480 which is larger than 1.
The problem is when I use the cosine similarity (Between -1 to 1) to determine whether the two images are from the same person, how can I find the similarity threshold with the best accuracy or meet the TAR@FAR requirement?
Hi, thanks for your impressive work on face recognition.
I have trained an FR model on the MS1MV2 dataset with ArcFace and test on my private dataset, I noticed that in the verification part, you find the best accuracy by grid searching threshold value between 0 and 4 with 0.01 diff point. The threshold with the best accuracy on my private dataset is 1.3480 which is larger than 1.
The problem is when I use the cosine similarity (Between -1 to 1) to determine whether the two images are from the same person, how can I find the similarity threshold with the best accuracy or meet the TAR@FAR requirement?