pith:TRPMAAWE
EmbodiTTA: Resource-Efficient Test-Time Adaptation for Embodied Visual Systems
OD-TTA adapts models on edge devices only when domain shifts are detected, cutting energy use while matching full adaptation accuracy.
arxiv:2505.00986 v3 · 2025-05-02 · cs.LG · cs.CV
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\pithnumber{TRPMAAWEG2YNR3UZGNFW6WOHSU}
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Record completeness
Claims
OD-TTA achieves comparable and even better performance while reducing the energy and computation overhead remarkably, making TTA a practical reality.
The lightweight domain shift detection mechanism reliably identifies when adaptation is truly needed without missing important shifts or triggering too often on noise.
OD-TTA enables resource-efficient test-time adaptation on edge devices by triggering updates only on detected domain shifts, achieving comparable accuracy with lower energy and computation costs for embodied visual systems.
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Receipt and verification
| First computed | 2026-06-19T16:09:49.038554Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
9c5ec002c436b0d8ee99334b6f59c7951286a505a38612923ca62e8c5c33d5d5
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· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/TRPMAAWEG2YNR3UZGNFW6WOHSU \
| 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: 9c5ec002c436b0d8ee99334b6f59c7951286a505a38612923ca62e8c5c33d5d5
Canonical record JSON
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