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| license: apache-2.0 | |
| tags: | |
| - embodied-ai | |
| - spatial-memory | |
| - procthor | |
| - ai2thor | |
| # Rb-ERI S3 results and weights (T0) | |
| Rb-ERI (Retraction-based Entity Re-Identification) was registered as VSMT-lean; file names, archive paths and the arm | |
| key `VSMT-lean` in this repository keep that name. | |
| Results and weights of the Rb-ERI S3 experiments: the round-1 association/existence heads of every learned arm and seed | |
| for both front ends (`weights/<front>/<arm>.tar`), the ReID projection heads (`reid/`), the S3-04 freeze directory | |
| (`s3-04-dea8c20/`) and all experiment exports (`exports/`, including the S3-05 and S3-07 statistics). | |
| ## Licence | |
| - Weights, heads and other model files: Apache License 2.0 (this repository's licence; full text in `LICENSE-APACHE-2.0`). | |
| - The result JSON files under `exports/` are provided under CC-BY-4.0. | |
| ## Download and verify | |
| Every item is listed in `MANIFEST.json` with its sha256, size, restore path and (for tars) the directory tree digest. The | |
| release tools live in the code repository `Embodied-SI/Rb-ERI` (`ops/vsmt/hf_fetch.py`): it downloads the selected items at a | |
| pinned revision, checks every sha256, extracts each tar safely, recomputes the tree digest, and restores the original layout | |
| under a base directory (default `/root/autodl-tmp`) so the repository's scripts run unchanged: | |
| ```bash | |
| python ops/vsmt/hf_fetch.py --repo Embodied-SI/Rb-ERI --repo-type model --revision <commit> --select weights/instance/ --dest /root/autodl-tmp | |
| ``` | |
| Each episode directory is one deterministic, uncompressed tar (members sorted by path, mtime 0, owner 0/0, modes 644/755, | |
| GNU format), so the same directory always gives the same bytes. | |
| ## Added after the paper's revision (2026-10-09) | |
| The paper cites revision `0b2ce7f8bb5d`. One later commit adds three files and changes no earlier file: | |
| - `reid/reid_head_vitb14_oracle_caa50c7.json`: the ReID projection head of the instance-mask front end (payload digest | |
| `5cea91cf…`, file SHA-256 `27bf6a10…`, the file the S3-04 freeze receipt recorded), used by every instance-mask run | |
| of S3-03 to S3-05. Restore path: `vsmt_private/lean-s1-04-diagnostics-oracle-caa50c7/reid_head_vitb14.json`. | |
| - `inputs/null_window_salt.txt`: the private salt of ruling 37, which decided the no-change draw of every generated | |
| episode (SHA-256 of its stripped text `8f4eae85…`); published after the test split was read, so that the data can be | |
| regenerated from ProcTHOR-10K. New data generated for other purposes should use a new salt. Restore path: | |
| `vsmt_private/null_window_salt.txt` (the generator refuses a salt file inside the code repository). | |
| - `MANIFEST_ADDENDUM.json`: both files with their sizes, SHA-256 and restore paths. `reproduce/fetch_extras.py` in the | |
| code repository downloads them at a pinned revision and checks them. | |
| ## Upstream licences and notices | |
| - Frames, depth, poses and ground truth were rendered with AI2-THOR 5.0.0 (Copyright 2021 Allen Institute for AI, | |
| Apache License 2.0) in houses of ProcTHOR-10K 0.1.2 (Apache License 2.0). Objects were removed, moved or added by this | |
| project's intervention scripts. Rendering engine: Unity, as shipped in the AI2-THOR 5.0.0 build. | |
| - Fragment masks were computed with SAM 2.1 (Hiera Small) and descriptors with DINOv2 ViT-B/14, both Apache License 2.0; | |
| no model weights of these upstream projects are redistributed here. | |
| - The training data behind these weights are the CC-BY-4.0 dataset tiers of this release. The upstream material remains under the Apache License 2.0, whose full text is in | |
| `LICENSE-APACHE-2.0` in this repository. | |
| - Please cite ProcTHOR (Deitke et al., NeurIPS 2022, arXiv:2206.06994), AI2-THOR (Kolve et al., arXiv:1712.05474), | |
| DINOv2 (Oquab et al., arXiv:2304.07193) and SAM 2 (Ravi et al., arXiv:2408.00714) together with this project. | |
| ## 3RScan | |
| No 3RScan data is redistributed in this repository or in any other tier of this release: no scans, renderings, | |
| annotations, ground truth or features computed on its frames. The 3RScan Terms of Use allow non-commercial research use | |
| and grant no right to publish or redistribute the data. The external validation on 3RScan (S3-07) is published only as | |
| per-scene metrics and counts (`exports/vsmt_lean_s3_07_*.json` in `Embodied-SI/Rb-ERI`); to reproduce it, request 3RScan | |
| access from TUM and rebuild the inputs with the conversion and rendering code in the code repository (branch | |
| `s3-07-impl`, `ops/vsmt/s3_07_*.py`). | |