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README.md
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@@ -93,21 +93,22 @@ model = BigEarthNetv2_0_ImageClassifier.from_pretrained(
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```
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If you use this model in your research or the provided code, please cite the following papers:
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```bibtex
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@
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title={reBEN: Refined BigEarthNet Dataset for Remote Sensing Image Analysis},
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author={Clasen, Kai Norman and Hackel, Leonard and Burgert, Tom and Sumbul, Gencer and Demir, Beg{
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year={
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archivePrefix={arXiv},
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primaryClass={cs.CV},
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url={https://arxiv.org/abs/2407.03653},
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}
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```
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```bibtex
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@article{hackel2024configilm,
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title={ConfigILM: A general purpose configurable library for combining image and language models for visual question answering},
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author={Hackel, Leonard and Clasen, Kai Norman and Demir, Beg{
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journal={SoftwareX},
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volume={26},
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pages={101731},
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```
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If you use this model in your research or the provided code, please cite the following papers:
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> K. Clasen, L. Hackel, T. Burgert, G. Sumbul, B. Demir, V. Markl, "[reBEN: Refined BigEarthNet Dataset for Remote Sensing Image Analysis][arxiv]", IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2025.
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```bibtex
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@inproceedings{clasen2025refinedbigearthnet,
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title={{reBEN}: Refined BigEarthNet Dataset for Remote Sensing Image Analysis},
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author={Clasen, Kai Norman and Hackel, Leonard and Burgert, Tom and Sumbul, Gencer and Demir, Beg{"u}m and Markl, Volker},
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year={2025},
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booktitle={IEEE International Geoscience and Remote Sensing Symposium (IGARSS)},
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}
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```
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[arxiv]: https://arxiv.org/abs/2407.03653
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> L. Hackel, K. Clasen, B. Demir, "ConfigILM: A General Purpose Configurable Library for Combining Image and Language Models for Visual Question Answering.", SoftwareX 26 (2024): 101731.
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```bibtex
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@article{hackel2024configilm,
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title={ConfigILM: A general purpose configurable library for combining image and language models for visual question answering},
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author={Hackel, Leonard and Clasen, Kai Norman and Demir, Beg{"u}m},
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journal={SoftwareX},
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volume={26},
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pages={101731},
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