Index your position: A novel self-supervised learning method for remote sensing images semantic segmentation
Published in IEEE Transactions on Geoscience and Remote Sensing, 2022
Recommended citation: Muhtar, D., Zhang, X., Xiao, P., Li, Z., & Gu, F. (2023). CMID: A Unified Self-Supervised Learning Framework for Remote Sensing Image Understanding. IEEE Transactions on Geoscience and Remote Sensing. https://ieeexplore.ieee.org/abstract/document/9781429
Employing position index to model intricate spatial relationships among various objects in remote sensing images, facilitating fine-grained representation learning.