Update README.md

README.md

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-license: etalab-2.0
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+---
+license: etalab-2.0
+pipeline_tag: image-segmentation
+tags:
+- semantic segmentation
+- pytorch
+- SSL
+library_name: pytorch
+---
+
+We introduce **MAESTRO**, a tailored adaptation of the Masked Autoencoder (MAE) framework that effectively orchestrates the use of multimodal, multitemporal, and multispectral Earth Observation (EO) data. Evaluated on four EO datasets, MAESTRO sets a new state-of-the-art on tasks that strongly rely on multitemporal dynamics, while remaining highly competitive on tasks dominated by a single monotemporal modality.
+
+Our contributions are as follows:
+- **Extensive benchmarking of multimodal and multitemporal SSL:** Impact evaluation of various fusion strategies for multimodal and multitemporal SSL.
+- **Patch-group-wise normalization:** Novel normalization scheme that normalizes reconstruction targets patch-wise within groups of highly correlated spectral bands.
+- **MAESTRO:** Novel adaptation of the MAE that combines optimized fusion strategies with our tailored patch-group-wise normalization..
+
+<div style="position: relative; text-align: center;">
+    <img src="./media/Maestro_Overview.png" alt="Classes distribution." style="width: 100%; display: block; margin: 0 auto;"/>
+</div>
+
+
+
+
+
+💻 **Code repository:** https://github.com/IGNF/MAESTRO<br>
+📃 **Paper:** https://arxiv.org/abs/2508.10894
+
+<hr>
+
+
+## Pre-training Dataset
+
+
+<hr>
+
+## Cross-dataset Evaluation
+
+Benchmark results on 4 datasets :
+
+<p align="center">
+
+| Model              | Pre-training dataset | TreeSatAI-TS | PASTIS-HD | FLAIR#2 | FLAIR-HUB |
+|--------------------|-----------------------|--------------|-----------|---------|-----------|
+| MAESTRO (ours)     | FLAIR-HUB             | **79.6**     | **68.0**  | -       | -         |
+| MAESTRO (ours)     | S2-NAIP urban         | 78.8         | 67.4      | 62.6    | 64.6      |
+| DINO-v2            | LVD-142M              | 76.7         | 64.4      | **64.2**| 66.0      |
+| DINO-v2 sat.       | Maxar Vivid2          | 76.3         | 64.0      | 63.5    | **66.0**  |
+| DOFA               | DOFA MM               | 76.0         | 62.9      | 62.3    | 65.1      |
+| CROMA              | SSL4EO                | 70.5         | 65.0      | 39.0    | 44.3      |
+| Prithvi-EO-2.0     | HLS                   | 75.6         | 66.2      | 41.8    | 44.9      |
+| SatMAE             | fMoW RGB+S            | 76.9         | 66.6      | 42.5    | 45.0      |
+</p>
+
+
+<hr>
+
+## Usage
+
+
+<hr>