A binary-weight multi-bit-activation quantization method, using mean-standard-deviation weight binarization and a cubic activation approximator, improves CIM CNN accuracy on CIFAR-10 and ImageNet and favors 4-bit activations.
Deep Residual Learning for Image Recognition,
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Binary Weight Multi-Bit Activation Quantization for Compute-in-Memory CNN Accelerators
A binary-weight multi-bit-activation quantization method, using mean-standard-deviation weight binarization and a cubic activation approximator, improves CIM CNN accuracy on CIFAR-10 and ImageNet and favors 4-bit activations.