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The segment anything model (SAM) has exceptional zero-shot segmentation capabilities, yet deploying it at the edge remains challenging due to its high computational cost. We explore converting SAM into a high-efficiency spiking neural network that approaches its original performance.
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Ma et al. (2026) studied this question.
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