Company News
Panasonic tops MS-Celeb-1M Challenges
July 19, 2017 | Project
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.
In Challenge 1, the task is to recognize one million celebrities from their face images and identify them by linking to unique entity keys in a knowledge base. This task introduces very large-scale face recognition with disambiguation.
In Challenge 2, the task is to solve problem of low-shot face recognition where the number of images available for training is limited.
(Reference links)
The general website:
The leaderboard for challenge 1:
http://www.msceleb.org/leaderboard/iccvworkshop-c1
The leaderboard for challenge 2:
Related Posts
The ITS Summit Singapore 2017 @Marina Bay Sands
Panasonic R&D Center Singapore partook in a 2-day Intelligent Transportation Society (ITS) Summit Singapore 2017, which attracted more than 300 delegates, industry partners and speakers from the Asia Pacific countries. At this summit, we showcased our initiatives in autonomous automotive technologies and solutions as well as our efforts to accelerate Singapore’s Autonomous Vehicle landscape.
Read moreTechInnovation @SG 2016
Panasonic R&D Center Singapore partook in TechInnovation 2016 as one of the exhibitors to appeal to local collaboration through crowd-sourcing and crowd-pitching. TechInnovation has been a technology-industry brokerage event organized by IPI Singapore since 2012.
Read morePaper 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 morePanasonic R&D Center Singapore Achieves No. 1 Accuracy of Face Recognition on the IJB-C Dataset
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.
Read more