/Face-Recognition-Analysis-of-Triplet-Loss-based-Neural-Networks

Face recognition gained popularity in computer vision and the number of methods and techniques used in the process are increased. This paper provides experimental analysis on face recognition process with Triplet Loss function based network architectures. We implemented several different techniques to improve the overall computation time of the process - to be able to implement live detection on low computational resources - and we compared the results.

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