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A unified framework that effectively fuses RGB and event data can drastically improve person re-identification accuracy across different camera views.
Fine-grained partitioning and targeted safeguards can provide robust NPU reliability with minimal performance overhead, challenging the assumption that redundancy is the only path forward.
