Panasonic R&D Center Singapore’s paper accepted for Publication in an Upcoming Issue of the Transactions on Pattern Analysis and Machine Intelligence (TPAMI)

September 24, 2020 | Project

Teaming up with Nanjing University of Science and Technology (NUST), Panasonic R&D Center Singapore co-authored a journal paper titled “Covariance Attention for Semantic Segmentation” which has been accepted for publication in an upcoming issue of the Transactions on Pattern Analysis and Machine Intelligence, the world’s top journal in the field of computer vision and pattern recognition. In the article, we present a low complexity approach that exploits the covariance matrix to encode the dependencies over local and global cues of the scene. The spatial and channel covariance attention modules are designed, respectively, to boost the accuracy of semantic segmentation. We build a new deep learning network named CANet for scene parsing/semantic segmentation by using the proposed covariance attention modules to achieve the state-of-the-art performance on multiple challenging datasets.

Back

Share

Panasonic R&D Center Singapore’s Technology – LVNet for Photo Management – Incorporated into Panasonic’s New DIGA Models to Be Commercially Launched in Japan

New models of Panasonic’s Blu-ray recorder DIGA will be launched in Japan on 16th October 2020. (Model Name: DMR-4T401・4CT401 /…

Deep Learning Summit Asia @SG 2016

Members from Panasonic R&D Center Singapore and various Panasonic divisions and centres in Japan attended the Deep Learning Summit Asia, which presented a great opportunity for us to gain new perspectives on approaches to technical advances in deep learning and smart AI, as well as new forms of creativity in the new technological era. It also provided us with new opportunities for business networking with other participants.

Panasonic R&D Center Singapore marking the first full-year deployment of our AI-based Visitor Counting solution with the latest technology update at the Singapore Flyer’s Time Capsule

Panasonic R&D Center Singapore deployed our AI-based Visitor Counting solution at the iconic Singapore Flyer – Asia’s largest giant observation…

Panasonic R&D Center Singapore Achieving the World’s Top Best Accuracy for Face Recognition

In collaboration with the National University of Singapore (NUS) and the Innovation Center of Connected Solutions of Panasonic Corporation, Panasonic R&D Center Singapore 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).

Company News