updated README files

README.md

@@ -1,5 +1,10 @@
 # Repository for training land cover recognition models for satellite imagery
 
+## Featured Papers
+The following papers are featured in this repository:
+- [ViTs for SITS: Vision Transformers for Satellite Image Time Series](https://arxiv.org/abs/2301.04944) (CVPR 2023). More information in README_TSVIT.md.
+- [Context-self contrastive pretraining for crop type semantic segmentation](https://ieeexplore.ieee.org/document/9854891) (IEEE Transactions on Geoscience and Remote Sensing). More information in README_CSCL.md.
+
 ## Setting up a python environment
 - Follow the instruction in https://docs.conda.io/projects/conda/en/latest/user-guide/install/linux.html for downloading and installing Miniconda
 
@@ -23,6 +28,3 @@
 - Adjust the ".yaml" configuration files as needed to train with your custom data.
 - Refer to the instructions provided in the specific README.MD files for additional guidance on setting up and running your experiments.
 
-## Papers
-- [ViTs for SITS: Vision Transformers for Satellite Image Time Series](https://arxiv.org/abs/2301.04944) (CVPR 2023). More information in README_TSVIT.md.
-- [Context-self contrastive pretraining for crop type semantic segmentation](https://ieeexplore.ieee.org/document/9854891) (IEEE Transactions on Geoscience and Remote Sensing). More information in README_CSCL.md.