pith:LBBHR5BX
DAP: Doppler-aware Point Network for Heterogeneous mmWave Action Recognition
DAP-Net aligns mmWave radar point clouds across devices by treating Doppler patterns as invariant anchors and adding text-based semantic guidance.
arxiv:2605.09604 v2 · 2026-05-10 · cs.CV
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Record completeness
Claims
DAP-Net significantly outperforms existing methods under heterogeneous radar settings, achieving state-of-the-art accuracy and strong cross-source robustness.
That action-consistent spatio-temporal Doppler patterns provide reliable anchors for cross-source alignment and that the pretrained textual space supplies stable semantic guidance without introducing domain mismatch.
Introduces the first heterogeneous multi-source mmWave point cloud HAR dataset and DAP-Net architecture with Doppler reparameterization and text alignment for cross-source robustness.
Formal links
Receipt and verification
| First computed | 2026-07-03T01:17:21.292735Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
584278f4375725e089841acba18a42b4a263eaa022a8c556db35275c346149f2
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/LBBHR5BXK4S6BCMEDLF2DCSCWS \
| 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: 584278f4375725e089841acba18a42b4a263eaa022a8c556db35275c346149f2
Canonical record JSON
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