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README.md
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vit_l_issu.pth
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```
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Each `flows/*/checkpoint_best.ckpt` is a plain `{"state_dict": ...}` dict with
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the trained flow-mixture parameters only. The frozen DINOv3 backbone weights are
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**not** included — they are gated `timm` weights and must be obtained directly
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from Hugging Face (see the code repo's environment setup). The evaluation code
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rebuilds the backbone from `timm` and loads these checkpoints with
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`strict=False`, so the absent backbone keys are expected.
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| Checkpoint | Backbone | Feature level | Training data |
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|---|---|---|---|
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| `convnext_l_res4_cityscapes` | DINOv3 ConvNeXt-L | res4 | Cityscapes (train) |
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| `convnext_l_res5_cityscapes` | DINOv3 ConvNeXt-L | res5 | Cityscapes (train) |
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| `vit_l_res5_cityscapes` | DINOv3 ViT-L | last block
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| `convnext_l_res4_issu` | DINOv3 ConvNeXt-L | res4 | ISSU-static (train) |
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| `convnext_l_res5_issu` | DINOv3 ConvNeXt-L | res5 | ISSU-static (train) |
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| `vit_l_res5_issu` | DINOv3 ViT-L | last block
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## Usage
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```
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Then run evaluation as described in the code repo, e.g.:
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```bash
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python eval_smiyc_benchmark.py \
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--config configs/eval/convnext_l_res5_cityscapes.yaml \
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--checkpoint checkpoints/flows/convnext_l_res5_cityscapes/checkpoint_best.ckpt
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```
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## License
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Released for the purpose of peer review and research reproducibility only.
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DINOv3 backbones these flows are trained on top of are governed by their own
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licenses on Hugging Face and are not redistributed here.
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vit_l_issu.pth
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```
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| Checkpoint | Backbone | Feature level | Training data |
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|---|---|---|---|
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| `convnext_l_res4_cityscapes` | DINOv3 ConvNeXt-L | res4 | Cityscapes (train) |
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| `convnext_l_res5_cityscapes` | DINOv3 ConvNeXt-L | res5 | Cityscapes (train) |
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| `vit_l_res5_cityscapes` | DINOv3 ViT-L | last block | Cityscapes (train) |
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| `convnext_l_res4_issu` | DINOv3 ConvNeXt-L | res4 | ISSU-static (train) |
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| `convnext_l_res5_issu` | DINOv3 ConvNeXt-L | res5 | ISSU-static (train) |
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| `vit_l_res5_issu` | DINOv3 ViT-L | last block | ISSU-static (train) |
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## Usage
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)
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```
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## License
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Released for the purpose of peer review and research reproducibility only.
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