Company News
Panasonic Tops the 2018 Nvidia AI City Challenge as First-Place Winner for Anomaly Detection
June 18, 2018 | Event
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 .
According to the CVPR workshop paper ,
“The 2018 NVIDIA AI City Challenge (AIC18) evaluated the application of state-of-the-art computer vision and deep learning technologies to real-world traffic analysis problems, providing insights into understanding the opportunities and gaps that need to be overcome for the pervasive use of AI in traffic and public safety solutions.”
Reference links
http://cvpr2018.thecvf.com/program/workshops
http://openaccess.thecvf.com/content_cvpr_2018_workshops/papers/w3/Naphade_The_2018_NVIDIA_CVPR_2018_paper.pdf
Related Posts
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 morePanasonic Auto Tracking Software Key AW-SF100/200 Powered by Panasonic R&D Center Singapore’s Face Recognition Module
Panasonic R&D Center Singapore’s Face Recognition module has been incorporated into the latest version of the Panasonic Auto Tracking Software…
Read moreAcceptance of two papers by ICCV’17 Workshop on MS-Celeb-1M: Recognizing One Million Celebrities in the Real World
Panasonic R&D Center Singapore, 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 morePaper accepted at NIPS2017 and another paper at CoR2017
Panasonic R&D Center Singapore, 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) 2017
Read more