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Event-driven neuromorphic vision enables energy-efficient visual place recognition

Geoffroy Keime et al.
HAL (France) · Papers
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spiking-neural-networks
Reliable visual place recognition (VPR) under dynamic real-world conditions is critical for autonomous robots, yet conventional deep networks remain limited by high computational and energy demands. Inspired by the mammalian navigation system, we introduce SpikeVPR, a bio-inspired neuromorphic frame
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