Panasonic R&D Center Singapore Achieves No. 1 Accuracy of Face Recognition on the IJB-C Dataset
June 30, 2019 | 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.
IP Week @ SG 2016
The Intellectual Property Group (IPG) of Panasonic R&D Center Singapore (PRDCSG) participated, as one of the exhibitors, in IP Ecosystem…Read more
Paper accepted for publication in the IEEE Transactions on Systems, Man, and Cybernetics: Systems
Collaborating with Nanjing University of Science and Technology (NUST), Panasonic R&D Center Singapore co-authored a paper titled “Modular Lightweight Network…Read more
Panasonic Tops the 2018 Nvidia AI City Challenge as First-Place Winner for Anomaly Detection
Panasonic R&D Center Singapore reprises the lead in Face Recognition Technology by notching up a stunning win for Track 2 (Anomaly Detection) in the 2018 Nvidia AI City Challenge .Read more
Deep Learning Summit Asia @SG 2016
Members from PRDCSG and various Panasonic divisions and centres in Japan attended the Deep Learning Summit Asia, which presented a great opportunity for us to gain new perspectives on approaches to technical advances in deep learning and smart AI, as well as new forms of creativity in the new technological era. It also provided us with new opportunities for business networking with other participants.Read more