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    "headline": "Full Adaptation Beat a Frozen Fire-Risk Probe",
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    "dek": "A SigLIP2 study reported higher validation scores after full tuning, but had no independent test region.",
    "summary": "A SigLIP2 study reported higher validation scores after full tuning, but had no independent test region.",
    "body_text": "On a reproducible split of public aerial fire-risk imagery, full SigLIP2 adaptation reached 63.05 percent validation accuracy and 58.94 percent macro F1, versus 55.95 and 50.19 percent for a frozen encoder probe. Both results came from one seed and checkpoint selection on the same validation partition, so the paper explicitly stops short of claiming performance on unseen regions.",
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    "tags": [
      "wildfire",
      "aerial imagery",
      "computer vision"
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      "title": "arXiv preprint 2610.03689",
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      "published_at": "2026-10-02T13:52:34.000-04:00",
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    "title": "Full Adaptation Beat a Frozen Fire-Risk Probe",
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