pith:IBO3S53M
DMDSC: A Dynamic-Margin Deep Simplex Classifier for Open-Set Recognition on Medical Image Datasets
Dynamic margins based on label frequency improve open-set recognition for rare medical conditions.
arxiv:2605.00675 v2 · 2026-05-01 · cs.CV
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Claims
Our approach automatically adapts class-specific margins based on label frequency, enforcing a higher penalty and tighter feature clustering for rare pathologies to counteract the effects of data imbalance. Extensive experiments ... demonstrate that our framework outperforms state-of-the-art methods.
That a margin scaled solely by label frequency will produce tighter, more separable clusters for rare classes without introducing new overfitting to frequency statistics or harming performance on common classes.
DMDSC adapts simplex-classifier margins dynamically according to label frequency to tighten clustering on rare medical classes and improve open-set rejection on imbalanced imaging datasets.
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| First computed | 2026-06-30T01:17:39.000249Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
405db9776c5a03a03a9242ae4eb8f81481259937ad85400838707f0398c6fa17
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· · · · ·Agent API
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curl -sH 'Accept: application/ld+json' https://pith.science/pith/IBO3S53MLIB2AOUSIKXE5OHYCS \
| 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: 405db9776c5a03a03a9242ae4eb8f81481259937ad85400838707f0398c6fa17
Canonical record JSON
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