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pith:2ZJTLHES

pith:2026:2ZJTLHESDR7EXIIHK5EYRV5LLI
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Towards Realistic Open-Vocabulary Remote Sensing Segmentation: Benchmark and Baseline

Bingyu Li, Da Zhang, Haocheng Dong, Junyu Gao, Tao Huo, Xuelong Li, Zhiyuan Zhao

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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3 Author claim open · sign in to claim
4 Citations open
5 Replications open
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The bundle contains the canonical record plus signed events. A mirror can host it anywhere and recompute the same current state with the deterministic merge algorithm.

Claims

C1strongest claim

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.

C2weakest assumption

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.

C3one line summary

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

arxiv: 2604.15652 · arxiv_version: 2604.15652v2 · doi: 10.48550/arxiv.2604.15652 · pith_short_12: 2ZJTLHESDR7E · pith_short_16: 2ZJTLHESDR7EXIIH · pith_short_8: 2ZJTLHES
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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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    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "cs.CV",
    "submitted_at": "2026-04-17T02:49:46Z",
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