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pith:VIEPR2YO

pith:2026:VIEPR2YOUXXFIDFGVMNEGHH63Q
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Expandable, Compressible, Mineable: Open-World Thermal Image Restoration

Huafeng Li, Jie Wen, Neng Dong, Pu Li, Wen Wang, Yafei Zhang

ECMRNet adapts to new thermal degradations by expanding isolated subspaces, pruning redundancies, and mining historical knowledge.

arxiv:2605.16967 v1 · 2026-05-16 · cs.CV

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4 Citations open
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Claims

C1strongest claim

ECMRNet achieves superior overall performance across diverse single and compound degradations while using fewer parameters and lower computational cost.

C2weakest assumption

The assumption that decomposing intermediate representations into group-isolated subspaces permits strict parameter isolation and fast adaptation to new degradations without interference or loss of previously learned restoration capability (stated in the structural description of ECMRNet).

C3one line summary

ECMRNet is a continual-learning restoration network that decomposes features into isolated groups, expands new groups for novel degradations, prunes via structural entropy, and mines historical components for compound degradations in open-world TIR imaging.

References

76 extracted · 76 resolved · 2 Pith anchors

[1] Allrestorer: All-in-one transformer for image restoration under composite degradations
[2] Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages=
[3] Gustafsson and Zheng Zhao and Jens Sjölund and Thomas B 2024
[4] Proceedings of the International Conference on Learning Representations , year=
[5] arXiv preprint arXiv:2504.08219 , year=
Receipt and verification
First computed 2026-05-20T00:03:33.518872Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

aa08f8eb0ea5ee540ca6ab1a431cfedc19f82eb4ab34e47dc27b04d2dd76ce64

Aliases

arxiv: 2605.16967 · arxiv_version: 2605.16967v1 · doi: 10.48550/arxiv.2605.16967 · pith_short_12: VIEPR2YOUXXF · pith_short_16: VIEPR2YOUXXFIDFG · pith_short_8: VIEPR2YO
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Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/VIEPR2YOUXXFIDFGVMNEGHH63Q \
  | jq -c '.canonical_record' \
  | python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: aa08f8eb0ea5ee540ca6ab1a431cfedc19f82eb4ab34e47dc27b04d2dd76ce64
Canonical record JSON
{
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    "license": "http://creativecommons.org/licenses/by-nc-nd/4.0/",
    "primary_cat": "cs.CV",
    "submitted_at": "2026-05-16T12:41:38Z",
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