24 citations · 61 across the 6 of their papers we have counts for
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cs.CV2022★ 13 cited
Structured Pruning is All You Need for Pruning CNNs at Initialization
Yaohui Cai, Weizhe Hua, Hongzheng Chen +3
Pruning is a popular technique for reducing the model size and computational cost of convolutional neural networks (CNNs). However, a slow retraining or fine-tuning procedure is of…
cs.CV2020★ 1 cited
CoDeNet: Efficient Deployment of Input-Adaptive Object Detection on Embedded FPGAs
Zhen Dong, Dequan Wang, Qijing Huang +6
Deploying deep learning models on embedded systems has been challenging due to limited computing resources. The majority of existing work focuses on accelerating image classificati…
cs.CV2020★ 19 cited
ZeroQ: A Novel Zero Shot Quantization Framework
Yaohui Cai, Zhewei Yao, Zhen Dong +3
Quantization is a promising approach for reducing the inference time and memory footprint of neural networks. However, most existing quantization methods require access to the orig…