OPPO takes home 11 awards at CVPR 2021 while the proprietary algorithm empowers Smart Factory for the first time
Leading global smartphone brand OPPO recently took part in the premier annual computer vision event Computer Vision and Pattern Recognition Conference (CVPR) 2021. During the conference, OPPO’s achievements in AI were recognized with its placing in six major Challenges in eleven different contests in total. These included one first-place, six second-place, and four third-place awards, demonstrating the company’s industry-leading technological strengths and innovative breakthroughs in AI. Entries in six major Challenges – Multi-Agent Behavior, SoccerNet, LOVEU, AVA-Kinetics, MMact, and People in Context ended with excellent results.
Eric Guo, Chief Scientist, Intelligent Perception, OPPO, said, “We are very pleased to have achieved such remarkable results again in this year’s CVPR Challenges, following our inaugural participation in CVPR 2020. Last year, we won first place in Perceptual Extreme Super-Resolution Challenge by demonstrating technology that can sharpen the appearance of blurry images and in Visual Localization for Handheld Devices Challenge that makes fusion positioning more precise. The Challenges won by OPPO this year, such as Multi-Agent Behavior, AVA-Kinetics, and 3D Face Reconstruction from Multiple 2D Images, cover more complex and advanced areas of computer vision, including behavior detection, localization of human actions in space and time, and facial detection.”
Among its eleven honors, OPPO received three awards in the Multi-Agent Behavior Challenge, which assesses an AI model’s ability to understand, define, and predict complex interactions between intelligent agents such as animals and human beings. OPPO ultimately won the first-place prize in the Learning New Behavior category, second-place in Classical Classification, and third-place in Annotation Style Transfer, distinguishing itself from over 240 other participants thanks to its leading AI capabilities. This same technology is currently playing an essential role in OPPO’s factory, where the algorithms assist workers in reducing operational mistakes, particularly in key production steps, to ensure their own safety as well as the quality of products coming off the production line.
In the SoccerNet Challenge, OPPO took second place in both the Action Spotting and Replay Grounding tasks. The future applications of this technology are wide-reaching and will help improve the experience for sports lovers through features such as automatically-generated match highlights.
In the MMact Challenge, OPPO took second place in both the Cross-Modal Action Recognition and Cross-Model Action Temporal Localization tasks. This technology is expected to be widely adopted in smart homes in the future, with benefits including the ability to better take care of the children, pets, the elderly, or other vulnerable groups at home.
OPPO also won third place in the AVA-Kinetics Challenge, which makes use of the industry’s first dataset to include both space and time information. The AVA-Kinetics algorithm can not only accurately identify the various behavior of people in the video, but also note their time and position. As a result, OPPO’s AI technology not only understands what you are doing but also where and when you are doing it.
At this year’s CVPR, OPPO also made a new milestone in the more cutting-edge academic challenges, including taking two third-places in LOVEU (Long-form Video Understanding) challenge which requires AI technology to understand the content of a video and segment it into chunks without being given pre-defined categories.
