Abstract: Spiking Neural Networks (SNNs) represent a biologically inspired paradigm offering an energy-efficient alternative to conventional artificial neural networks (ANNs) for Computer Vision (CV) ...
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Abstract: The paper proposes a method for learning compact representations of the configuration (joint positions) of articulated mechanisms consisting of interconnected rigid bodies, from collected ...
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