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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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Panasonic R&D Center Singapore Won the AI Driving Olympics (AI-DO) at NeurIPS (formerly known as NIPS) 2018

Panasonic R&D Center Singapore (PRDCSG) teamed up with the National University of Singapore (NUS) to partake in the inaugural AI Driving Olympics (AI-DO) competition, which took place at NeurIPS (formerly known as NIPS)

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 .

1-day Design Thinking Workshop @Singapore Polytechnic

We believe creativity is an essential skill for our members trying to make a difference in their work at Panasonic R&D Center Singapore. At this, in collaboration with LWC-S (Live Well Collaborative Singapore) which is based at Singapore Polytechnic, Panasonic R&D Center Singapore organized a one-day design thinking workshop for Panasonic R&D Center Singapore’s members on December 21, 2016.

Panasonic tops MS-Celeb-1M Challenges

Panasonic R&D Center Singapore, in collaboration with the National University of Singapore (NUS), has achieved the No. 1 position in MS-Celeb-1M Challenge 2017 , which is organized by Microsoft, for both Challenge 1 and Challenge 2. The results are in alignment with our mission to promote Panasonic’s outstanding Face Recognition technology worldwide.