3 citations · 3 across the 2 of their papers we have counts for
2 papers
cs.CV2022
Long-Range Zero-Shot Generative Deep Network Quantization
Yan Luo, Yangcheng Gao, Zhao Zhang +3
Quantization approximates a deep network model with floating-point numbers by the one with low bit width numbers, in order to accelerate inference and reduce computation. Quantizin…
cs.CV2022★ 3 cited
Towards Feature Distribution Alignment and Diversity Enhancement for Data-Free Quantization
Yangcheng Gao, Zhao Zhang, Richang Hong +3
To obtain lower inference latency and less memory footprint of deep neural networks, model quantization has been widely employed in deep model deployment, by converting the floatin…