PointLCA-Net stores PointNet features in a dictionary and uses a spiking Locally Competitive Algorithm encoder-decoder to classify spatio-temporal event data, reporting up to 98.78% accuracy with lower estimated energy than prior spiking point-cloud networks.
PointNet++: Deep hierarchical feature learning on point sets in a metric space,
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Efficient Spatio-Temporal Signal Recognition on Edge Devices Using PointLCA-Net
PointLCA-Net stores PointNet features in a dictionary and uses a spiking Locally Competitive Algorithm encoder-decoder to classify spatio-temporal event data, reporting up to 98.78% accuracy with lower estimated energy than prior spiking point-cloud networks.