most citedSoft-Root-Sign Activation Function

16 citations · 39 across the 8 of their papers we have counts for

collaborators

9 papers

cs.CV2020

Unsupervised Self-training Algorithm Based on Deep Learning for Optical Aerial Images Change Detection

Yuan Zhou, Xiangrui Li

Optical aerial images change detection is an important task in earth observation and has been extensively investigated in the past few decades. Generally, the supervised change det…

cs.CV202016 cited

Soft-Root-Sign Activation Function

Yuan Zhou, Dandan Li, Shuwei Huo +1

The choice of activation function in deep networks has a significant effect on the training dynamics and task performance. At present, the most effective and widely-used activation…

cs.NI20205 cited

Anypath Routing Protocol Design via Q-Learning for Underwater Sensor Networks

Yuan Zhou, Tao Cao, Wei Xiang

As a promising technology in the Internet of Underwater Things, underwater sensor networks have drawn a widespread attention from both academia and industry. However, designing a r…

cs.CV202011 cited

Domain Adaptive Adversarial Learning Based on Physics Model Feedback for Underwater Image Enhancement

Yuan Zhou, Kangming Yan

Owing to refraction, absorption, and scattering of light by suspended particles in water, raw underwater images suffer from low contrast, blurred details, and color distortion. The…

cs.CV20193 cited

Exploiting Operation Importance for Differentiable Neural Architecture Search

Xukai Xie, Yuan Zhou, Sun-Yuan Kung

Recently, differentiable neural architecture search methods significantly reduce the search cost by constructing a super network and relax the architecture representation by assign…

eess.IV2019

Cross-Scale Residual Network for Multiple Tasks:Image Super-resolution, Denoising, and Deblocking

Yuan Zhou, Xiaoting Du, Yeda Zhang +1

In general, image restoration involves mapping from low quality images to their high-quality counterparts. Such optimal mapping is usually non-linear and learnable by machine learn…