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Arxiv
1d
282
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QSViT: A Methodology for Quantizing Spiking Vision Transformers
- Vision Transformer (ViT)-based models have shown state-of-the-art performance in vision-based AI tasks.
- Spiking Vision Transformer (SViT)-based models have emerged as low-power ViT networks.
- QSViT is a methodology to compress SViT models through quantization.
- QSViT achieves memory and power savings while maintaining high accuracy.
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