Patent ID: 11947626
Assignee: NEC CORPORATION
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 14:
15. A system for improving face recognition from unseen domains by learning semantically meaningful representations, the system comprising:
a memory; and
one or more processors in communication with the memory configured to:
obtain face images with associated identities from a plurality of datasets;
randomly select two datasets of the plurality of datasets to train a model;
sample batch face images and their corresponding labels;
sample triplet samples including one anchor face image, a sample face image from a same identity, and a sample face image from a different identity than that of the one anchor face image;
perform a forward pass by using the samples of the selected two datasets;
find representations of the face images by using a backbone convolutional neural network (CNN);
generate covariances from the representations of the face images and the backbone CNN, the covariances made in different spaces by using positive pairs and negative pairs; and
employ the covariances to compute a cross-domain similarity loss function.