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🌍 Earth Science

📷 CVPR2026 · 1 paper notes

📌 Same area in other venues: 🧪 ICML2026 (1) · 🤖 AAAI2026 (2) · 🧠 NeurIPS2025 (6)

GeoChemAD: Benchmarking Unsupervised Geochemical Anomaly Detection for Mineral Exploration

This paper introduces GeoChemAD, an open-source benchmark dataset, and GeoChemFormer, a two-stage framework that performs unsupervised geochemical anomaly detection via spatial context learning and elemental dependency modeling, achieving an average AUC of 0.7712 across 8 subsets.