xiaoqiang-lu / LSST
The official PyTorch implementation of our paper (Simple and Efficient: A Semisupervised Learning Framework for Remote Sensing Image Semantic Segmentation) Accepted by TGRS2022
☆20Updated last year
Alternatives and similar repositories for LSST:
Users that are interested in LSST are comparing it to the libraries listed below
- ☆37Updated 3 years ago
- A Semantic Segmentation Method for Remote Sensing Images Combining CNN and Transformer.☆27Updated 2 years ago
- ☆23Updated last year
- ☆14Updated 2 years ago
- Semi-Supervised Change Detection with Feature-Prediction Alignment☆9Updated last year
- Generalized Few-Shot Meets Remote Sensing: Discovering Novel Classes in Land Cover Mapping via Hybrid Semantic Segmentation Framework☆35Updated 9 months ago
- [RSE 2022] Cross-sensor domain adaptation for high-spatial resolution urban land-cover mapping: from airborne to spaceborne imagery☆42Updated 2 years ago
- ☆39Updated 2 years ago
- Here is the research experience and code of the MG group☆16Updated 2 years ago
- ☆20Updated 3 years ago
- Code for Paper < >☆12Updated 9 months ago
- The official implement of 《Overcome the Uncertainty Challenges in Detecting Building Changes from Remote Sensing Images》☆35Updated 4 months ago
- ☆24Updated last year
- Multitask consistency network with single temporal supervision for semi-supervised building change detection☆15Updated 8 months ago