add provenance README
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README.md
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---
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license: cc-by-nc-sa-4.0
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tags:
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- panoptic-segmentation
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- unsupervised
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- cityscapes
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- mirror
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---
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# mbps-cups-e1
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Public mirror of the two CUPS-released checkpoints needed to reproduce **CUPS Stage-1 (pseudo-label generation)** as part of E1 -- the "same-backbone CUPS rerun" control experiment for the MBPS NeurIPS 2026 paper.
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## Files
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| File | Size | SHA256 | Origin |
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|---|---|---|---|
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| `depthg.ckpt` | 352 639 220 bytes | `09556e83b791a8177a369c218800d54bc8bfa77a61759840d9758f6211ecab39` | TUdatalib `4532/depthg.ckpt` (CUPS Eccv-W release) |
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| `raft_smurf.pt` | 21 049 890 bytes | `692f1deece783ae69d058608b18ddeb97096c2505bd4529a1a08b8f5cab20d47` | TUdatalib `4532/raft_smurf.pt` (SMURF official, converted by Christoph Reich) |
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Original checkpoints: <https://tudatalib.ulb.tu-darmstadt.de/handle/tudatalib/4532>
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Original CUPS repo: <https://github.com/robot-learning-freiburg/CUPS>
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## Why this mirror exists
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E1 reruns CUPS Stage-1 on an RTX A6000 (48 GB) -- the original GTX 1080 Ti
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(11 GB) OOMs in SF2SE3 instance proposal generation. The mirror lets the
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A6000 launcher pull both inputs with `wget` (no auth, no `huggingface-cli`).
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## Usage
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```bash
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wget https://huggingface.co/qbit-glitch/mbps-cups-e1/resolve/main/depthg.ckpt
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wget https://huggingface.co/qbit-glitch/mbps-cups-e1/resolve/main/raft_smurf.pt
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```
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The full launcher (`scripts/e1_stage1_pseudolabel_gen_a6000.sh` in the
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MBPS repo) does this for you.
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## NOT mirrored
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- `cups.ckpt` -- this is the AFTER-Stage-3 final panoptic checkpoint.
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Using it as a Stage-1 input is circular. If you need it for inference
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comparison, fetch it directly from TUdatalib.
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- `dino_RN50_pretrain_d2_format.pkl` -- only needed for Stage-2 backbone
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init in CUPS-original. E1 swaps in DINOv3 ViT-B/16 instead.
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## License
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These are mirrored CUPS / SMURF artifacts. Their licenses (CC BY-NC-SA 4.0,
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research use) come from the original TUdatalib / SMURF releases and apply
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unchanged to this mirror.
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