May 14, 2024, 2:15 p.m. | /u/DetectiveVinc

Machine Learning www.reddit.com

Hi everyone,
i was experimenting with facial recognition, during my masters thesis and therefore was learning embeddings (using triplet loss, ArcFace, AdaCos... ect.). Intention was creating an efficient (and non gdpr violating) face unlock.

The ArcFace method appears to be the SOTA still. Works like AdaCos have tried eliminating the annoying hyperparameters by eliminating the margin and dynamicly adapting the scale during training, though in reality this doesn't seem to work as well as ArcFace when optimally tuned.

I subsequently …

embedding embeddings face facial recognition gdpr loss machinelearning masters recognition sota thesis

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