Company News

Panasonic R&D Center Singapore Won the Jury Prize in the 2021 VIPriors Image Classification Challenge

October 15, 2021 | Project

Panasonic R&D Center Singapore was awarded the Jury Prize, while in 3rd position, in the Image Classification track of the 2021 “Visual Inductive Priors for Data-Efficient Computer Vision” (VIPriors) challenge, held from October 11 to October 17, in conjunction with the premier International Conference on Computer Vision (ICCV) 2021, one of the world’s top-tier conferences on computer vision.  The jury-based prize was awarded to the most interesting submission in each track.  We joined the challenge by teaming up with Nanyang Technological University (NTU) to further sharpen our image-based object recognition competency and promote our standing globally.  At that, we submitted to the VIPriors Workshop a technical paper that will be published on arXiv.

Share

Related Posts

Panasonic R&D Center Singapore Won the Jury Prize in the 2021 VIPriors Image Classification Challenge

Panasonic R&D Center Singapore was awarded the Jury Prize, while in 3rd position, in the Image Classification track of the…

Read more

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 more

Panasonic ranked #1 in Mugshot category of NIST FRVT 1:1 Challenge

PRDCSG once again kept Panasonic’s flag flying high in the global arena. In the latest Performance Summary of the NIST*…

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