IEEE 14
- Generic Knowledge Boosted Pre-training ForRemote Sensing Images
- RingMo A Remote Sensing Foundation Model With Masked Image Modeling
- Language-aware domain generalization network for cross-scene hyperspectral image classification
- An Empirical Study of Remote Sensing Pretraining
- TOV The Original Vision Model for Optical Remote Sensing Image Understanding via Self-Supervised Learning
- TOV The original vision model for optical remote sensing image understanding via self-supervised learning
- Semantic segmentation of remote sensing images with self-supervised semantic-aware inpainting
- Self-Supervised Learning for Invariant Representations from Multi-Spectral and SAR Images
- Geographical Knowledge-Driven RepresentationLearning for Remote Sensing Images
- Global and Local Contrastive Self-Supervised Learning for Semantic Segmentation of HR Remote Sensing Images
- Advancing plain vision transformer toward remote sensing foundation model
- On Creating Benchmark Dataset for Aerial Image Interpretation Reviews, Guidances, and Million-AID
- Remote Sensing Image Scene Classification with Self-Supervised Paradigm under Limited Labeled Samples
- BIGEARTHNET A LARGE-SCALE BENCHMARK ARCHIVE FOR REMOTE SENSINGIMAGE UNDERSTANDING