Resnet V1 trained by David Sandberg

Very recently, David Sandberg has made publicly available his implementation as well as trained models for a new FR-CNN named **FaceNet**. This is the closest open-source implementation of the FaceNet CNN proposed by [Schroff_2015], for which neither a pre-trained model nor the training-set is publicly available. Sandberg’s FaceNet implements an Inception-ResNet V1 DNN architecture [Szegedy2017]. In these tests, we have used the 20170512-110547 model, trained on the MS-Celeb-1M dataset. Using this model, FaceNet achieves a FR performance of 99.2% on the LFW dataset. We use this representation to construct enrollment and probe templates, which are compared to each other using the Cosine measure.

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