3 papers
cs.CV2024
StyleMamba : State Space Model for Efficient Text-driven Image Style Transfer
Zijia Wang, Zhi-Song Liu
We present StyleMamba, an efficient image style transfer framework that translates text prompts into corresponding visual styles while preserving the content integrity of the origi…
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…