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pith:TRPMAAWE

pith:2025:TRPMAAWEG2YNR3UZGNFW6WOHSU
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EmbodiTTA: Resource-Efficient Test-Time Adaptation for Embodied Visual Systems

Dong Ma, Xiao Ma, Young D. Kwon

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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Claims

C1strongest claim

OD-TTA achieves comparable and even better performance while reducing the energy and computation overhead remarkably, making TTA a practical reality.

C2weakest assumption

The lightweight domain shift detection mechanism reliably identifies when adaptation is truly needed without missing important shifts or triggering too often on noise.

C3one line summary

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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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

Aliases

arxiv: 2505.00986 · arxiv_version: 2505.00986v3 · doi: 10.48550/arxiv.2505.00986 · pith_short_12: TRPMAAWEG2YN · pith_short_16: TRPMAAWEG2YNR3UZ · pith_short_8: TRPMAAWE
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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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    "license": "http://creativecommons.org/licenses/by/4.0/",
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