Search Results for author: Zhengyong Wang

Found 4 papers, 3 papers with code

UIERL: Internal-External Representation Learning Network for Underwater Image Enhancement

1 code implementation14 Jun 2023 Zhengyong Wang, Liquan Shen, Yihan Yu, Yuan Hui

With performing region-wise feature learning for regions with different quality separately, the network provides an effective guidance for global features and thus guides intra-image differentiated enhancement.

Representation Learning UIE

Domain Adaptation for Underwater Image Enhancement

1 code implementation22 Aug 2021 Zhengyong Wang, Liquan Shen, Mei Yu, Kun Wang, Yufei Lin, Mai Xu

However, these methods ignore the significant domain gap between the synthetic and real data (i. e., interdomain gap), and thus the models trained on synthetic data often fail to generalize well to real underwater scenarios.

Domain Adaptation Image Enhancement

Single Underwater Image Enhancement Using an Analysis-Synthesis Network

no code implementations20 Aug 2021 Zhengyong Wang, Liquan Shen, Mei Yu, Yufei Lin, Qiuyu Zhu

The proposed framework includes an analysis network and a synthesis network, one for priors exploration and another for priors integration.

Image Enhancement Image Generation

An Image Clustering Auto-Encoder Based on Predefined Evenly-Distributed Class Centroids and MMD Distance

3 code implementations10 Jun 2019 Qiuyu Zhu, Zhengyong Wang

The algorithm uses PEDCC (Predefined Evenly-Distributed Class Centroids) as the clustering centers, which ensures the inter-class distance of latent features is maximal, and adds data distribution constraint, data augmentation constraint, auto-encoder reconstruction constraint and Sobel smooth constraint to improve the clustering performance.

Clustering Data Augmentation +1

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