pith:2ZJTLHES
Towards Realistic Open-Vocabulary Remote Sensing Segmentation: Benchmark and Baseline
OVRSISBenchV2 provides a more realistic and challenging benchmark for open-vocabulary remote sensing segmentation, where the Pi-Seg baseline achieves strong performance through positive-incentive noise.
arxiv:2604.15652 v2 · 2026-04-17 · cs.CV
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\pithnumber{2ZJTLHESDR7EXIIHK5EYRV5LLI}
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Claims
OVRSISBenchV2 substantially expands scene diversity, semantic coverage, and evaluation difficulty beyond prior work, and Pi-Seg delivers strong and consistent results particularly on the more challenging OVRSISBenchV2 benchmark.
That the manually constructed OVRSIS95K dataset and selection of 10 downstream datasets, along with the 35+128 categories, accurately capture realistic geospatial application demands without selection bias or limited diversity in scenes and sensors.
OVRSISBenchV2 is a realistic benchmark expanding scene and category coverage for open-vocabulary remote sensing segmentation, with Pi-Seg baseline showing strong transfer via positive-incentive noise perturbations.
Receipt and verification
| First computed | 2026-06-30T02:17:20.890302Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
d653359c921c7e4ba107574988d7ab5a203f3275fb3053913e36c411687005e9
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/2ZJTLHESDR7EXIIHK5EYRV5LLI \
| 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: d653359c921c7e4ba107574988d7ab5a203f3275fb3053913e36c411687005e9
Canonical record JSON
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