CSQ: Growing Mixed-Precision Quantization Scheme with Bi-level Continuous Sparsification

no code implementations • 6 Dec 2022 • Lirui Xiao, Huanrui Yang, Zhen Dong, Kurt Keutzer, Li Du, Shanghang Zhang

CSQ stabilizes the bit-level mixed-precision training process with a bi-level gradual continuous sparsification on both the bit values of the quantized weights and the bit selection in determining the quantization precision of each layer.

Quantization

Binary Neural Networks as a general-propose compute paradigm for on-device computer vision

no code implementations • 8 Feb 2022 • Guhong Nie, Lirui Xiao, Menglong Zhu, Dongliang Chu, Yue Shen, Peng Li, Kang Yang, Li Du, Bo Chen

For binary neural networks (BNNs) to become the mainstream on-device computer vision algorithm, they must achieve a superior speed-vs-accuracy tradeoff than 8-bit quantization and establish a similar degree of general applicability in vision tasks.

Quantization Super-Resolution