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Panasonic R&D Center Singapore Achieves No. 1 Accuracy of Face Recognition on the IJB-C Dataset
June 30 | Project
Panasonic R&D Center Singapore achieved the Best Accuracy of Face Recognition on the IJB-C dataset under three different protocols, namely 1:1 mixed verification, 1:N mixed identification and 1:1 covariate verification.
On top of that, a paper titled “Deep Face Recognition Model Compression via Knowledge Transfer and Distillation” was published on 3rd Jun 2019 on arXiv, which can be accessed by the following URL: https://arxiv.org/abs/1906.00619.
In the paper, we present a novel model compression approach based on a student-teacher paradigm for face-recognition applications. The proposed approach is simple and hardware-friendly, thus enabling the deployment of high-performing face-recognition deep models into resource-constraint devices.
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