16 citations · 50 across the 10 of their papers we have counts for
10 papers
Full-attention based Neural Architecture Search using Context Auto-regression
Yuan Zhou, Haiyang Wang, Shuwei Huo +1
Self-attention architectures have emerged as a recent advancement for improving the performance of vision tasks. Manual determination of the architecture for self-attention network…
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…
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…
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…
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…
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…
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…
Temporal Action Localization using Long Short-Term Dependency
Yuan Zhou, Hongru Li, Sun-Yuan Kung
Temporal action localization in untrimmed videos is an important but difficult task. Difficulties are encountered in the application of existing methods when modeling temporal stru…
Comb Convolution for Efficient Convolutional Architecture
Dandan Li, Yuan Zhou, Shuwei Huo +1
Convolutional neural networks (CNNs) are inherently suffering from massively redundant computation (FLOPs) due to the dense connection pattern between feature maps and convolution…
HGC: Hierarchical Group Convolution for Highly Efficient Neural Network
Xukai Xie, Yuan Zhou, Sun-Yuan Kung
Group convolution works well with many deep convolutional neural networks (CNNs) that can effectively compress the model by reducing the number of parameters and computational cost…