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 seven major Challenges in 12 different contests in total. These included one first-place, seven second-place, and four third-place awards, demonstrating the company's industry-leading technological strengths and innovative breakthroughs in AI, said a press release on Monday.
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The team participating in the CVPR 2021 competition on behalf of OPPO came from the Intelligent Perception and Interaction Department and OPPO US Research Center of OPPO Research Institute.
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. 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.”
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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.
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Through its mission of "Technology for Mankind, Kindness for the World," OPPO is building capabilities in human-centric AI. In the SoccerNet Challenge, OPPO took second place in both the Action Spotting and Replay Grounding tasks.
In the MMact Challenge, OPPO took second place in both the Cross-Modal Action Recognition and Cross-Model Action Temporal Localization tasks. OPPO's powerful AI algorithm can accurately recognize more than ten types of actions in a video, such as talking, crouching, and walking, using only visual data. 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.
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At this year's CVPR, OPPO also made a new milestone in the more cutting-edge academic challenges, including taking two third-place in LOVEU (Long-form Video Understanding) challenge.
Moreover, OPPO US Research Center participated in the Dense Depth for Autonomous Driving Challenge, demonstrating its technology that can output dense 3D depth information based on a 2D image. OPPO won second place in the Self-supervised track and took home "Novelty Award."
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