3 citations · 3 across the 1 of their papers we have counts for
3 papers
cs.AR2020
High Area/Energy Efficiency RRAM CNN Accelerator with Kernel-Reordering Weight Mapping Scheme Based on Pattern Pruning
Songming Yu, Yongpan Liu, Lu Zhang +5
Resistive Random Access Memory (RRAM) is an emerging device for processing-in-memory (PIM) architecture to accelerate convolutional neural network (CNN). However, due to the highly…
cs.CV2020
Adaptive Pixel-wise Structured Sparse Network for Efficient CNNs
Chen Tang, Wenyu Sun, Zhuqing Yuan +1
To accelerate deep CNN models, this paper proposes a novel spatially adaptive framework that can dynamically generate pixel-wise sparsity according to the input image. The sparse s…
cs.CV2020★ 3 cited
ADMP: An Adversarial Double Masks Based Pruning Framework For Unsupervised Cross-Domain Compression
Xiaoyu Feng, Zhuqing Yuan, Guijin Wang +1
Despite the recent progress of network pruning, directly applying it to the Internet of Things (IoT) applications still faces two challenges, i.e. the distribution divergence betwe…