pith:D6JC2HJM
DPM++: Dynamic Masked Metric Learning for Occluded Person Re-identification
DPM++ learns an input-adaptive masked metric to select reliable identity subspaces for matching occluded persons.
arxiv:2605.06637 v2 · 2026-05-07 · cs.CV
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\pithnumber{D6JC2HJMWRJYSK753NPNSEDXYM}
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Record completeness
Claims
DPM++ learns an input-adaptive masked metric that dynamically selects reliable identity subspaces for each occluded instance, enabling matching to emphasize visibility-consistent evidence while suppressing unreliable components.
That the CLIP-derived semantic priors transfer cleanly into the classifier-prototype space and that saliency-guided patch transfer produces occluded samples whose distribution matches real-world occlusion patterns closely enough to improve generalization.
DPM++ learns input-adaptive masked metrics in a CLIP-supervised classifier-prototype space and uses saliency-guided patch transfer to synthesize realistic occluded training samples, outperforming prior methods on occluded and holistic re-ID benchmarks.
Receipt and verification
| First computed | 2026-06-04T01:08:50.845564Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
1f922d1d2cb453892bfddb5ed91077c32dff490ae7e40a423f7eaf2110cd18c1
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/D6JC2HJMWRJYSK753NPNSEDXYM \
| 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: 1f922d1d2cb453892bfddb5ed91077c32dff490ae7e40a423f7eaf2110cd18c1
Canonical record JSON
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