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Found 2 papers, 1 papers with code
Fusing Posture and Position Representations for Point Cloud-Based Hand Gesture Recognition
To induce the global and local stream to capture complementary position and posture features, we propose the use of different 3D learning architectures in both streams.
Ranked #1 on
Hand Gesture Recognition
on SHREC 2017
Unsupervised learning of multimodal image registration using domain adaptation with projected Earth Mover’s discrepancies
We believe that unsupervised domain adaptation can be beneficial in overcoming the current limitations for multimodal registration, where good metrics are hard to define.
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