首页|Findings from Zhejiang University Provides New Data about Robotics (3d Object Se gmentation Using Cross-window Point Transformer With Latent Semantic Boundary Gu idance)
Findings from Zhejiang University Provides New Data about Robotics (3d Object Se gmentation Using Cross-window Point Transformer With Latent Semantic Boundary Gu idance)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Data detailed on Robotics have been pr esented. According to news reporting originating from Hangzhou, People’s Republi c of China, by NewsRx correspondents, research stated, “Accurate 3D object segme ntation in point clouds is a basis for industrial robot applications, such as ro bot manipulation and digital twin, which require an understanding of the 3D envi ronment. However, the unstructured and disordered nature of point clouds makes i t challenging, especially for the incomplete 3D data under a single view in the real-world scenario.”
HangzhouPeople’s Republic of ChinaAs iaEmerging TechnologiesMachine LearningRobotRoboticsZhejiang University
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