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pith:D6JC2HJM

pith:2026:D6JC2HJMWRJYSK753NPNSEDXYM
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DPM++: Dynamic Masked Metric Learning for Occluded Person Re-identification

Lei Tan, Liujuan Cao, Pincong Zou, Pingyang Dai, Yingshi Luan

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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Record completeness

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2 Internet Archive
3 Author claim open · sign in to claim
4 Citations open
5 Replications open
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The bundle contains the canonical record plus signed events. A mirror can host it anywhere and recompute the same current state with the deterministic merge algorithm.

Claims

C1strongest claim

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.

C2weakest assumption

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.

C3one line summary

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

arxiv: 2605.06637 · arxiv_version: 2605.06637v2 · doi: 10.48550/arxiv.2605.06637 · pith_short_12: D6JC2HJMWRJY · pith_short_16: D6JC2HJMWRJYSK75 · pith_short_8: D6JC2HJM
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
{
  "metadata": {
    "abstract_canon_sha256": "973014d161ed3b96be51a656f17a0416b2bf36f0d812b4d2f9fcbf4b8b87d40a",
    "cross_cats_sorted": [],
    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "cs.CV",
    "submitted_at": "2026-05-07T17:47:23Z",
    "title_canon_sha256": "8f714894c7c482aaa238acd688c07f225a1d6e0699c99a466a045b2909606352"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2605.06637",
    "kind": "arxiv",
    "version": 2
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}