ImageHD delivers up to 40.4x speedup and 383x energy efficiency for on-device continual learning of visual representations by using hyperdimensional computing and bounded exemplar management on an FPGA.
Factorhd: A hyperdimensional computing model for multi-object multi-class representation and factorization
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ImageHD: Energy-Efficient On-Device Continual Learning of Visual Representations via Hyperdimensional Computing
ImageHD delivers up to 40.4x speedup and 383x energy efficiency for on-device continual learning of visual representations by using hyperdimensional computing and bounded exemplar management on an FPGA.