pith:L3JF2JY3
MU-SHOT-Fi: Self-Supervised Multi-User Wi-Fi Sensing with Source-free Unsupervised Domain Adaptation
MU-SHOT-Fi adapts a pre-trained Wi-Fi model to new rooms and frequencies using only unlabeled target CSI and self-supervision.
arxiv:2605.01369 v2 · 2026-05-02 · eess.SP · cs.AI · cs.LG
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\pithnumber{L3JF2JY3CAOKCOHNGASBB4XPDV}
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Record completeness
Claims
MU-SHOT-Fi effectively recovers multi-user exact-activity classification performance under large domain shifts while maintaining accurate occupancy estimation and preventing collapse toward dominant classes.
That the pre-trained source model provides a sufficiently rich feature backbone that frozen-classifier adaptation plus the proposed self-supervision signals can recover performance without any target labels or source data access.
MU-SHOT-Fi recovers multi-user activity classification accuracy under domain shifts in WiFi CSI sensing using source-free adaptation with Hungarian matching, occupancy-weighted entropy regularization, and rotation prediction self-supervision.
Receipt and verification
| First computed | 2026-05-22T02:04:41.494382Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
5ed25d271b101ca138ed302410f2ef1d7659bc407134c20f1c0edb65950c79ea
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/L3JF2JY3CAOKCOHNGASBB4XPDV \
| 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())"
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Canonical record JSON
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