3 papers
cs.CV2025
VFM-ISRefiner: Towards Better Adapting Vision Foundation Models for Interactive Segmentation of Remote Sensing Images
Deliang Wang, Peng Liu, Yan Ma +4
Interactive image segmentation(IIS) plays a critical role in generating precise annotations for remote sensing imagery, where objects often exhibit scale variations, irregular boun…
cs.CV2025
Leveraging Large-Scale Pretrained Spatial-Spectral Priors for General Zero-Shot Pansharpening
Yongchuan Cui, Peng Liu, Yi Zeng
Existing deep learning methods for remote sensing image fusion often suffer from poor generalization when applied to unseen datasets due to the limited availability of real trainin…
eess.IV2025
Overcoming the Identity Mapping Problem in Self-Supervised Hyperspectral Anomaly Detection
Yongchuan Cui, Jinhe Zhang, Peng Liu +2
The surge of deep learning has catalyzed considerable progress in self-supervised Hyperspectral Anomaly Detection (HAD). The core premise for self-supervised HAD is that anomalous…