Update README.md

README.md

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 This repository contains the trained models of the publications:
 
 > Aybar, C., Ysuhuaylas, L., Loja, J., Gonzales, K., Herrera, F., Bautista, L., Yali, R., Flores, A., Diaz, L., Cuenca, N., Espinoza, W., Prudencio, F., Llactayo, V., Montero, D., Sudmanns, M., Tiede, D., Mateo-García, G., & Gómez-Chova, L. (2022). **CloudSEN12, a global dataset for semantic understanding of cloud and cloud shadow in Sentinel-2**. Scientific Data, 9(1), Article 1. [DOI: 10.1038/s41597-022-01878-2](https://doi.org/10.1038/s41597-022-01878-2)
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 > Aybar, C., Montero, D., Mateo-García, G., & Gómez-Chova, L. (2023). **Lessons Learned From Cloudsen12 Dataset: Identifying Incorrect Annotations in Cloud Semantic Segmentation Datasets**. IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium, 892–895. [DOI: 10.1109/IGARSS52108.2023.10282381](https://doi.org/10.1109/IGARSS52108.2023.10282381)
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 > Mateo-García, G., Aybar, C., Acciarini, G., Růžička, V., Meoni, G., Longépé, N., & Gómez-Chova, L. (2023). **Onboard Cloud Detection and Atmospheric Correction with Deep Learning Emulators**. IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium, 1875–1878. [DOI: 10.1109/IGARSS52108.2023.10282605](https://doi.org/10.1109/IGARSS52108.2023.10282605)
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 > Aybar, C., et al (2024), **CloudSEN12+: The largest dataset of expert-labeled pixels for cloud and cloud shadow detection in Sentinel-2** (Submitted)