74 citations · 255 across the 16 of their papers we have counts for
Showing 2020Show all
3 papers · 1 filter
cs.CV2020★ 22 cited
Conditional Automated Channel Pruning for Deep Neural Networks
Yixin Liu, Yong Guo, Zichang Liu +5
Model compression aims to reduce the redundancy of deep networks to obtain compact models. Recently, channel pruning has become one of the predominant compression methods to deploy…
cs.CV2020★ 35 cited
Breaking the Curse of Space Explosion: Towards Efficient NAS with Curriculum Search
Yong Guo, Yaofo Chen, Yin Zheng +4
Neural architecture search (NAS) has become an important approach to automatically find effective architectures. To cover all possible good architectures, we need to search in an e…
cs.CV2020★ 32 cited
Closed-loop Matters: Dual Regression Networks for Single Image Super-Resolution
Yong Guo, Jian Chen, Jingdong Wang +5
Deep neural networks have exhibited promising performance in image super-resolution (SR) by learning a nonlinear mapping function from low-resolution (LR) images to high-resolution…