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README.md
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## <!-- Tabelle -->
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| Model
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|:--------------------------|:--------------------------------------------------------------------------|:-----------------------------------------------------------------------------------------------------------------:|:-----------------------------------------------------------------------------------------------------------------:|:---------------------------------------------------------------------------------------------------------------------:|
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| ConvMixer-768/32
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| ConvNext v2 Base
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| MLP-Mixer Base
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| MobileViT-S
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| ResNet-18
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| ResNet-50
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| ResNet-101
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| ViT Base
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| DenseNets Reloaded Base
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| InceptionNeXt Base
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| MobileNetv4 Hybrid Medium
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## <!-- Tabelle -->
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| Model | Equivalent [`timm`](https://huggingface.co/docs/timm/en/index) model name | Sentinel-1 only | Sentinel-2 only | Sentinel-1 and Sentinel-2 |
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|:------------------------------------------------------------------------------------------------------------------------------------------------------------------------|:--------------------------------------------------------------------------|:-----------------------------------------------------------------------------------------------------------------:|:-----------------------------------------------------------------------------------------------------------------:|:---------------------------------------------------------------------------------------------------------------------:|
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| [ConvMixer-768/32](https://openreview.net/forum?id=TVHS5Y4dNvM) | `convmixer_768_32` | [ConvMixer-768/32 S1](https://huggingface.co/BIFOLD-BigEarthNetv2-0/convmixer_768_32-s1-v0.2.0) | [ConvMixer-768/32 S2](https://huggingface.co/BIFOLD-BigEarthNetv2-0/convmixer_768_32-s2-v0.2.0) | [ConvMixer-768/32 S1+S2](https://huggingface.co/BIFOLD-BigEarthNetv2-0/convmixer_768_32-all-v0.2.0) |
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| [ConvNext v2 Base](https://openaccess.thecvf.com/content/CVPR2023/html/Woo_ConvNeXt_V2_Co-Designing_and_Scaling_ConvNets_With_Masked_Autoencoders_CVPR_2023_paper.html) | `convnextv2_base` | [ConvNext v2 Base S1](https://huggingface.co/BIFOLD-BigEarthNetv2-0/convnextv2_base-s1-v0.2.0) | [ConvNext v2 Base S2](https://huggingface.co/BIFOLD-BigEarthNetv2-0/convnextv2_base-s2-v0.2.0) | [ConvNext v2 Base S1+S2](https://huggingface.co/BIFOLD-BigEarthNetv2-0/convnextv2_base-all-v0.2.0) |
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| [MLP-Mixer Base](https://proceedings.nips.cc/paper_files/paper/2021/file/cba0a4ee5ccd02fda0fe3f9a3e7b89fe-Paper.pdf) | `mixer_b16_224` | [MLP-Mixer Base S1](https://huggingface.co/BIFOLD-BigEarthNetv2-0/mixer_b16_224-s1-v0.2.0) | [MLP-Mixer Base S2](https://huggingface.co/BIFOLD-BigEarthNetv2-0/mixer_b16_224-s2-v0.2.0) | [MLP-Mixer Base S1+S2](https://huggingface.co/BIFOLD-BigEarthNetv2-0/mixer_b16_224-all-v0.2.0) |
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| [MobileViT-S](https://openreview.net/forum?id=vh-0sUt8HlG) | `mobilevit_s` | [MobileViT-S S1](https://huggingface.co/BIFOLD-BigEarthNetv2-0/mobilevit_s-s1-v0.2.0) | [MobileViT-S S2](https://huggingface.co/BIFOLD-BigEarthNetv2-0/mobilevit_s-s2-v0.2.0) | [MobileViT-S S1+S2](https://huggingface.co/BIFOLD-BigEarthNetv2-0/mobilevit_s-all-v0.2.0) |
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| [ResNet-18](https://openaccess.thecvf.com/content_cvpr_2016/html/He_Deep_Residual_Learning_CVPR_2016_paper.html) | `resnet18` | [ResNet-18 S1](https://huggingface.co/BIFOLD-BigEarthNetv2-0/resnet18-s1-v0.2.0) | [ResNet-18 S2](https://huggingface.co/BIFOLD-BigEarthNetv2-0/resnet18-s2-v0.2.0) | [ResNet-18 S1+S2](https://huggingface.co/BIFOLD-BigEarthNetv2-0/resnet18-all-v0.2.0) |
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| [ResNet-50](https://openaccess.thecvf.com/content_cvpr_2016/html/He_Deep_Residual_Learning_CVPR_2016_paper.html) | `resnet50` | [ResNet-50 S1](https://huggingface.co/BIFOLD-BigEarthNetv2-0/resnet50-s1-v0.2.0) | [ResNet-50 S2](https://huggingface.co/BIFOLD-BigEarthNetv2-0/resnet50-s2-v0.2.0) | [ResNet-50 S1+S2](https://huggingface.co/BIFOLD-BigEarthNetv2-0/resnet50-all-v0.2.0) |
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| [ResNet-101](https://openaccess.thecvf.com/content_cvpr_2016/html/He_Deep_Residual_Learning_CVPR_2016_paper.html) | `resnet101` | [ResNet-101 S1](https://huggingface.co/BIFOLD-BigEarthNetv2-0/resnet101-s1-v0.2.0) | [ResNet-101 S2](https://huggingface.co/BIFOLD-BigEarthNetv2-0/resnet101-s2-v0.2.0) | [ResNet-101 S1+S2](https://huggingface.co/BIFOLD-BigEarthNetv2-0/resnet101-all-v0.2.0) |
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| [ViT Base](https://openreview.net/forum?id=YicbFdNTTy) | `vit_base_patch8_224` | [ViT Base S1](https://huggingface.co/BIFOLD-BigEarthNetv2-0/vit_base_patch8_224-s1-v0.2.0) | [ViT Base S2](https://huggingface.co/BIFOLD-BigEarthNetv2-0/vit_base_patch8_224-s2-v0.2.0) | [ViT Base S1+S2](https://huggingface.co/BIFOLD-BigEarthNetv2-0/vit_base_patch8_224-all-v0.2.0) |
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| [DenseNets Reloaded Base](https://www.ecva.net/papers/eccv_2024/papers_ECCV/papers/00430.pdf) | `rdnet_base` | [DenseNets Reloaded Base S1](https://huggingface.co/BIFOLD-BigEarthNetv2-0/rdnet_base-s1-v0.2.0) | [DenseNets Reloaded Base S2](https://huggingface.co/BIFOLD-BigEarthNetv2-0/rdnet_base-s2-v0.2.0) | [DenseNets Reloaded Base S1+S2](https://huggingface.co/BIFOLD-BigEarthNetv2-0/rdnet_base-all-v0.2.0) |
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| [InceptionNeXt Base](https://openaccess.thecvf.com/content/CVPR2024/papers/Yu_InceptionNeXt_When_Inception_Meets_ConvNeXt_CVPR_2024_paper.pdf) | `inception_next_base` | [InceptionNeXt Base S1](https://huggingface.co/BIFOLD-BigEarthNetv2-0/inception_next_base-s1-v0.2.0) | [InceptionNeXt Base S2](https://huggingface.co/BIFOLD-BigEarthNetv2-0/inception_next_base-s2-v0.2.0) | [InceptionNeXt Base S1+S2](https://huggingface.co/BIFOLD-BigEarthNetv2-0/inception_next_base-all-v0.2.0) |
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| [MobileNetv4 Hybrid Medium](https://www.ecva.net/papers/eccv_2024/papers_ECCV/papers/05647.pdf) | `mobilenetv4_hybrid_medium` | [MobileNetv4 Hybrid Medium S1](https://huggingface.co/BIFOLD-BigEarthNetv2-0/mobilenetv4_hybrid_medium-s1-v0.2.0) | [MobileNetv4 Hybrid Medium S2](https://huggingface.co/BIFOLD-BigEarthNetv2-0/mobilenetv4_hybrid_medium-s2-v0.2.0) | [MobileNetv4 Hybrid Medium S1+S2](https://huggingface.co/BIFOLD-BigEarthNetv2-0/mobilenetv4_hybrid_medium-all-v0.2.0) |
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