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license: other
license_name: research-only
tags:
- anomaly-segmentation
- out-of-distribution-detection
- normalizing-flows
- autonomous-driving
library_name: pytorch
---
# SAFe — trained conditional normalizing-flow checkpoints
Anonymous checkpoint release accompanying a paper submission under double-blind
review. This repository hosts the trained normalizing-flow weights; all
code, configs, and instructions are in the anonymized code repository linked
from the paper.
## Contents
```
checkpoints/
flows/ # trained conditional normalizing flows
convnext_l_res4_cityscapes/checkpoint_best.ckpt
convnext_l_res4_issu/checkpoint_best.ckpt
convnext_l_res5_cityscapes/checkpoint_best.ckpt
convnext_l_res5_issu/checkpoint_best.ckpt
vit_l_res5_cityscapes/checkpoint_best.ckpt
vit_l_res5_issu/checkpoint_best.ckpt
priors/ # per-class Gaussian priors
convnext_l_res4_cityscapes.pth
convnext_l_res4_issu.pth
convnext_l_res5_cityscapes.pth
convnext_l_res5_issu.pth
vit_l_cityscapes.pth
vit_l_issu.pth
```
| Checkpoint | Backbone | Feature level | Training data |
|---|---|---|---|
| `convnext_l_res4_cityscapes` | DINOv3 ConvNeXt-L | res4 | Cityscapes (train) |
| `convnext_l_res5_cityscapes` | DINOv3 ConvNeXt-L | res5 | Cityscapes (train) |
| `vit_l_res5_cityscapes` | DINOv3 ViT-L | last block | Cityscapes (train) |
| `convnext_l_res4_issu` | DINOv3 ConvNeXt-L | res4 | ISSU-static (train) |
| `convnext_l_res5_issu` | DINOv3 ConvNeXt-L | res5 | ISSU-static (train) |
| `vit_l_res5_issu` | DINOv3 ViT-L | last block | ISSU-static (train) |
## Usage
Clone the anonymized code repository, then download this repo's `checkpoints/`
directory to the repo root:
```python
from huggingface_hub import snapshot_download
snapshot_download(
repo_id="<ANON-USER>/safe-checkpoints",
repo_type="model",
local_dir=".",
allow_patterns=["checkpoints/**"],
)
```
## License
Released for the purpose of peer review and research reproducibility only.
|