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--- |
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license: openrail |
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datasets: |
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- DarthReca/hydro-chronos |
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tags: |
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- climate |
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- geospatial |
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- remote-sensing |
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- spatiotemporal |
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- multi-modal |
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- earth-observation |
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- time-series |
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- hydrology |
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library_name: transformers |
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pipeline_tag: image-segmentation |
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--- |
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# ACTU for Change Detection |
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<!-- Provide a quick summary of what the model is/does. --> |
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This is ACTU for change detection of thresholded absolute MNDWI difference. |
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## Model Details |
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<!-- Provide a longer summary of what this model is. --> |
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This architecture is a temporal UNet (with ConvLSTMs), featuring an LSTM branch to process climate timeseries and a gating mechanism. |
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It is designed to receive a timeseries of Sentinel-2 images, DEM, and timeseries of climate variables and output a binary mask. |
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- **Developed by:** Daniele Rege Cambrin |
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- **Model type:** ACTU |
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- **License:** OpenRAIL |
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- **Repository:** [Github](https://github.com/DarthReca/hydro-chronos) |
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- **Paper:** [Arxiv](https://arxiv.org/abs/2506.14362) |
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## How to Get Started with the Model |
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The model is integrated into Transformers, so you can easily load it with the following code: |
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```python |
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AutoModel.from_pretrained("DarthReca/actu-change-detection", trust_remote_code=True, revision=<model_type>) |
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``` |
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Load the model with the desired configuration with the *revision* parameter (the branches of this repo). These configurations are available: |
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| Revision | Backbone | DEM | Climate | |
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|-------------|-----------------|:---:|:-------:| |
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| main | ConvNeXtV2 Base | No | No | |
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| dem-climate | ConvNeXtV2 Base | Yes | Yes | |
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## Training Details |
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The model is pre-trained on Landsat-5 images and fine-tuned on Sentinel-2 of HydroChronos. |
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## Citation |
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```bibtex |
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@misc{cambrin2025hydrochronosforecastingdecadessurface, |
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title={HydroChronos: Forecasting Decades of Surface Water Change}, |
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author={Daniele Rege Cambrin and Eleonora Poeta and Eliana Pastor and Isaac Corley and Tania Cerquitelli and Elena Baralis and Paolo Garza}, |
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year={2025}, |
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eprint={2506.14362}, |
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archivePrefix={arXiv}, |
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primaryClass={cs.CV}, |
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url={https://arxiv.org/abs/2506.14362}, |
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} |
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``` |
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## Licensing |
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The project uses third-party software. For detailed information on the licensing of each component, please see the [**NOTICE.md**](NOTICE.md) file. |
