公开(公告)号：US10832036B2

公开(公告)日：2020-11-10

申请号：US16036757

申请日：2018-07-16

Applicant: ADOBE INC.

Inventor： Haoxiang Li ,  Zhe Lin ,  Muhammad Abdullah Jamal

IPC: G06K9/00 ,  G06N3/08

Abstract: Methods and systems are provided for generating a facial recognition system. A facial recognition system can be implemented using a meta-model based on a trained neural network. A neural network can be trained as multiple classifiers that identify individuals using a small number of images of the individual's face. A meta-model can learn from the neural networks to be capable to identify an individual based on a small number of images. In this way, the facial recognition system uses the meta-model that learns from the neural network trained to identify an individual based on a small number of images. Such a facial recognition system is tested to determine any misidentification for fine-tuning the system. A facial recognition system implemented using such a meta-model is capable of adapting the model to learn identities entered into the system using only a small number of images to enroll an identity into the system.

公开(公告)号：US20200019758A1

公开(公告)日：2020-01-16

申请号：US16036757

申请日：2018-07-16

Applicant: ADOBE INC.

Inventor： Haoxiang Li ,  Zhe Lin ,  Muhammad Abdullah Jamal

IPC: G06K9/00 ,  G06N3/08

Abstract: Methods and systems are provided for generating a facial recognition system. A facial recognition system can be implemented using a meta-model based on a trained neural network. A neural network can be trained as multiple classifiers that identify individuals using a small number of images of the individual's face. A meta-model can learn from the neural networks to be capable to identify an individual based on a small number of images. In this way, the facial recognition system uses the meta-model that learns from the neural network trained to identify an individual based on a small number of images. Such a facial recognition system is tested to determine any misidentification for fine-tuning the system. A facial recognition system implemented using such a meta-model is capable of adapting the model to learn identities entered into the system using only a small number of images to enroll an identity into the system.