BEV-SLD: Self-Supervised Scene Landmark Detection for Global Localization with LiDAR Bird's-Eye View Images
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Freshness: 2026-04-02T02:30:40.136932+00:00Claims: 0
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Freshness: fresh
Source paper: BEV-SLD: Self-Supervised Scene Landmark Detection for Global Localization with LiDAR Bird's-Eye View Images
PDF: https://arxiv.org/pdf/2603.17159v1
Source count: 0
Coverage: 33%
Last proof check: 2026-03-31T20:30:20.275835Z
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Paper mode: BEV-SLD: Self-Supervised Scene Landmark Detection for Global Localization with LiDAR Bird's-Eye View Images
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BEV-SLD: Self-Supervised Scene Landmark Detection for Global Localization with LiDAR Bird's-Eye View Images
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Freshness: fresh
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Repo: missing
Coverage: 33%
References: 0
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Last verification: 3/31/2026, 8:30:20 PM
Canonical Paper Receipt
distribution readiness has not been computed yet
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Freshness: fresh
Proof: unverified
Repo: missing
Coverage: 33%
References: 0
Sources: 0
Lineage: not recorded
Last verification: 3/31/2026, 8:30:20 PM
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