PRDCSG Achieving the World’s Top Best Accuracy for Face Recognition
April 28, 2017 | Project
In collaboration with the National University of Singapore (NUS) and the Innovation Center of Connected Solutions of Panasonic Corporation, PRDCSG has recently developed face recognition technology that has achieved the world’s Top Best Accuracy for Face Recognition by benchmarking the dataset covering all the conditions taken in the surveillance market, the dataset of which is provided by the National Institute of Standards and Technology (NIST).
Official NIST reports: NUS-Panasonic top leaderboards of IJB-A Face Recognition challenges
On 28th April 2017, the National Institute of Standards and Technology (NIST) of the United States Department of Commerce has officially updated results of the IJB-A Face Recognition challenges in its reports. The information including the reports can be found at:
The reports show that “NUS−Panasonic−032917” tops the leaderboards of both Face Verification (1:1) and Face Identification (1:N), leading the next best result by significant margins.
The “NUS−Panasonic−032917” results were the fruits of PRDCSG’s partnership with the National University of Singapore (NUS) and Panasonic CNS-IC.
PRDCSG will continue enhancing our core competency in this area, aiming to not only maintain our lead in IJB-A Face Recognition challenge but also participate in other NIST challenges.
Panasonic R&D Center Singapore (PRDCSG) participated in the ITS World Congress 2019
Joining Panasonic’s booth at the ITS World Congress 2019 held at Suntec City of Singapore from October 21st to October…Read more
Panasonic wins the top spot in a Future Convenience Store Challenge at IREX2019, an International Robot Exhibition 2019
Panasonic R&D Center Singapore (PRDCSG) joined the Nara Institute of Science and Technology, Ritsumeikan University, Panasonic’s Robotics Promotion Office, LS,…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
Acceptance of two papers by ICCV’17 Workshop on MS-Celeb-1M: Recognizing One Million Celebrities in the Real World
PRDCSG, collaborating with the National University of Singapore (NUS), co-authored two papers that have been accepted by ICCV (International Conference on Computer Vision*) 2017 Workshop on MS-Celeb-1M: Recognizing One Million Celebrities in the Real World, which will be held in Venice, Italy, on October 28th, 2017.Read more