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FAT: An In-Memory Accelerator with Fast Addition for Ternary Weight Neural Networks
Quantization is applied to reduce the latency and storage cost of CNNs.
Cross-filter compression for CNN inference acceleration
However, these filter-wise quantification methods exist a natural upper limit, caused by the size of the kernel.
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