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.
Joint collaborations with I2R: achieved the No. 2 position at MEC 2017 plus a paper accepted at ICMI 2017
In collaboration with the Institute for Infocomm Research (I2R), PRDCSG achieved the No. 2 position in the audio-visual emotion recognition sub-challenge of the Multimodal Emotion Recognition Challenge (MEC) 2017. The challenge (*1) is aimed at the comparison of multimedia processing and machine learning methods for automatic audio and visual emotion analysis.Read more
Panasonic tops MS-Celeb-1M Challenges
PRDCSG, 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.Read more
Paper accepted at NIPS2017 and another paper at CoR2017
PRDCSG, collaborating with Assistant Professor Feng Jiashi of the National University of Singapore (NUS), co-authored a paper1 titled “Dual-Agent GANs for Photorealistic and Identity Preserving Profile Face Synthesis” that has been accepted at the Conference and Workshop on Neural Information Processing Systems (NIPS) 2017Read more
Panasonic launched a “Panasonic Deep Tech Innovation Challenge” inviting local start-ups to leverage Panasonic’s technology & patents for business creation
Panasonic R&D Center Singapore has launched a Panasonic Deep Tech Innovation Challenge organized by Panasonic, ICMG and ACE. This Challenge…Read more