首页|Reports from Chinese Academy of Sciences Highlight Recent Findings in Robotics a nd Automation (Cross-modal Learning for Eventbased Semantic Segmentation Via At tention Soft Alignment)
Reports from Chinese Academy of Sciences Highlight Recent Findings in Robotics a nd Automation (Cross-modal Learning for Eventbased Semantic Segmentation Via At tention Soft Alignment)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Data detailed on Robotics - Robotics a nd Automation have been presented. Accordingto news reporting out of Beijing, P eople’s Republic of China, by NewsRx editors, research stated, “Bydemonstrating robustness in scenarios characterized by high-speed motion and extreme lighting changes,event cameras hold great potential for enhancing the perception reliab ility of autonomous driving systems.Because of its novelty and data sparsity, t he progress of event-based algorithms is hindered by the scarcityof high-qualit y labeled datasets.”
BeijingPeople’s Republic of ChinaAsiaRobotics and AutomationRoboticsChinese Academy of Sciences
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