3 papers
cs.CV2025
Excavate the potential of Single-Scale Features: A Decomposition Network for Water-Related Optical Image Enhancement
Zheng Cheng, Wenri Wang, Guangyong Chen +5
Underwater image enhancement (UIE) techniques aim to improve visual quality of images captured in aquatic environments by addressing degradation issues caused by light absorption a…
cs.LG2024
Potential Energy based Mixture Model for Noisy Label Learning
Zijia Wang, Wenbin Yang, Zhisong Liu +1
Training deep neural networks (DNNs) from noisy labels is an important and challenging task. However, most existing approaches focus on the corrupted labels and ignore the importan…
cs.CV2024
Uncertainty-aware self-training with expectation maximization basis transformation
Zijia Wang, Wenbin Yang, Zhisong Liu +1
Self-training is a powerful approach to deep learning. The key process is to find a pseudo-label for modeling. However, previous self-training algorithms suffer from the over-confi…