首页|Southeast University Reports Findings in Robotics (Joint estimation of pose, depth, and optical flow with a competition-cooperation transformer network)
Southeast University Reports Findings in Robotics (Joint estimation of pose, depth, and optical flow with a competition-cooperation transformer network)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Robotics is the subject of a report. According to news originatingfrom Nanjing, People’s Republic of China, by NewsRx correspondents, research stated, “Estimating depth,ego-motion, and optical flow from consecutive frames is a critical task in robot navigation and has receivedsignificant attention in recent years. In this study, we propose PDF-Former, an unsupervised joint estimationnetwork comprising a full transformer-based framework, as well as a competition and cooperationmechanism.”
NanjingPeople’s Republic of ChinaAsiaEmerging TechnologiesMachine LearningRobotRobotics
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