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Geo6D: Geometric Constraints Learning for 6D Pose Estimation
Numerous 6D pose estimation methods have been proposed that employ end-to-end regression to directly estimate the target pose parameters.
Uni6D: A Unified CNN Framework without Projection Breakdown for 6D Pose Estimation
They use a 2D CNN for RGB images and a per-pixel point cloud network for depth data, as well as a fusion network for feature fusion.
Exciton-phonon coupling strength in single-layer MoSe2 at room temperature
Single-layer transition metal dichalcogenides are at the center of an ever increasing research effort both in terms of fundamental physics and applications.
Mesoscale and Nanoscale Physics Materials Science
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