🌍 Earth Science

📷 CVPR2025 · 1 paper notes

📌 Same area in other venues: 📷 CVPR2026 (2) · 🔬 ICLR2026 (7) · 🧪 ICML2026 (2) · 🤖 AAAI2026 (2) · 🧠 NeurIPS2025 (6) · 🎞️ ECCV2024 (1)

GeoChemAD: Benchmarking Unsupervised Geochemical Anomaly Detection for Mineral Exploration

This paper proposes the GeoChemAD open-source benchmark dataset (comprising 8 subsets covering multiple regions, sampling sources, and target elements) and the GeoChemFormer framework. By employing spatial context self-supervised pre-training and elemental dependency modeling, it achieves unsupervised geochemical anomaly detection and obtains state-of-the-art AUC across all subsets.