1 code implementation • 2 Apr 2024 • Quanwei Liu, Yanni Dong, Tao Huang, Lefei Zhang, Bo Du
Therefore, we propose a universal knowledge embedded contrastive learning framework (KnowCL) for supervised, unsupervised, and semisupervised HSI classification, which largely closes the gap between HSI classification models between pocket models and standard vision backbones.
no code implementations • 8 Dec 2023 • Yang Zhao, Yuxiang Zhang, Yanni Dong, Bo Du
Most change detection models based on vision transformers currently follow a "pretraining then fine-tuning" strategy.
no code implementations • 24 Oct 2023 • Hao Li, Quanwei Liu, Jianan Liu, Xiling Liu, Yanni Dong, Tao Huang, Zhihan Lv
To this end, we propose an unpaired MRI SR approach that employs contrastive learning to enhance SR performance with limited HR training data.