13 citations · 33 across the 5 of their papers we have counts for
5 papers · 1 filter
UIERL: Internal-External Representation Learning Network for Underwater Image Enhancement
Zhengyong Wang, Liquan Shen, Yihan Yu +1
Underwater image enhancement (UIE) is a meaningful but challenging task, and many learning-based UIE methods have been proposed in recent years. Although much progress has been mad…
Domain Adaptation for Underwater Image Enhancement
Zhengyong Wang, Liquan Shen, Mei Yu +3
Recently, learning-based algorithms have shown impressive performance in underwater image enhancement. Most of them resort to training on synthetic data and achieve outstanding per…
Single Underwater Image Enhancement Using an Analysis-Synthesis Network
Zhengyong Wang, Liquan Shen, Mei Yu +2
Most deep models for underwater image enhancement resort to training on synthetic datasets based on underwater image formation models. Although promising performances have been ach…
An Image Clustering Auto-Encoder Based on Predefined Evenly-Distributed Class Centroids and MMD Distance
Qiuyu Zhu, Zhengyong Wang
In this paper, we propose a novel, effective and simpler end-to-end image clustering auto-encoder algorithm: ICAE. The algorithm uses PEDCC (Predefined Evenly-Distributed Class Cen…
A New Loss Function for CNN Classifier Based on Pre-defined Evenly-Distributed Class Centroids
Qiuyu Zhu, Pengju Zhang, Xin Ye
With the development of convolutional neural networks (CNNs) in recent years, the network structure has become more and more complex and varied, and has achieved very good results…