pith:VIEPR2YO
Expandable, Compressible, Mineable: Open-World Thermal Image Restoration
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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Claims
ECMRNet achieves superior overall performance across diverse single and compound degradations while using fewer parameters and lower computational cost.
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).
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
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
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Aliases
· · · · ·Agent API
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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