pith:TOM435F3
Segment Anything with Robust Uncertainty-Accuracy Correlation
RUAC adds a lightweight uncertainty head to SAM and trains it with joint style-deformation attacks plus alignment to keep uncertainty tied to pixel errors under domain shifts.
arxiv:2605.10603 v2 · 2026-05-11 · cs.CV
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\usepackage{pith}
\pithnumber{TOM435F3LAPA7BOTYGBFOJ6LO4}
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Record completeness
Claims
Across 23 zero-shot domains, RUAC improves segmentation quality and yields more faithful uncertainty with stronger uncertainty-accuracy correlation.
That out-of-domain variation can be adequately modeled as appearance shifts and non-rigid deformations, and that the collaborative style-deformation attack plus Uncertainty-Accuracy Alignment will produce uncertainty estimates that remain faithful under real-world domain shifts beyond the 23 tested domains.
RUAC adds an uncertainty head to SAM, trains it via collaborative style-deformation attacks and Uncertainty-Accuracy Alignment, and reports improved segmentation quality plus stronger uncertainty-accuracy correlation across 23 zero-shot domains.
Formal links
Receipt and verification
| First computed | 2026-05-20T01:06:10.182202Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
9b99cdf4bb581e0f85d3c1825727cb7713c5f9d02861f3b55320763f26079e68
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/TOM435F3LAPA7BOTYGBFOJ6LO4 \
| 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: 9b99cdf4bb581e0f85d3c1825727cb7713c5f9d02861f3b55320763f26079e68
Canonical record JSON
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