A post-training method that nests a lower-bit weight model inside a full-bit quantized model so devices can switch precision on the fly from one stored model.
A new deep learning-based food recognition system for dietary assessment on an edge computing service infrastructure,
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NestQuant: Post-Training Integer-Nesting Quantization for On-Device DNN
A post-training method that nests a lower-bit weight model inside a full-bit quantized model so devices can switch precision on the fly from one stored model.