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Hand pose estimation from RGB images has always been a difficult task, owing to the incompleteness of the depth information. Moon et al. improved the accuracy of hand pose estimation by using a new network, InterNet, through their unique design. Still, the network still has potential for improvement. Based on the architecture of MobileNet v3 and MoGA, we redesigned a feature extractor that introduced the latest achievements in the field of computer vision, such as the ACON activation function and the new attention mechanism module, etc. Using these modules effectively with our network, architecture can better extract global features from an RGB image of the hand, leading to a greater performance improvement compared to InterNet and other similar networks.
Pubmed ID: 34695960
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Blender is the free open source 3D content creation suite, available for all major operating systems under the GNU General Public License. Because of the overwhelming success of the first open movie project, Ton Roosendaal, the Blender Foundation''s chairman, has established the Blender Institute. This now is the permanent office and studio to more efficiently organize the Blender Foundation goals, but especially to coordinate and facilitate Open Projects related to 3D movies, games or visual effects.
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