🌍 Earth Science

🎞️ ECCV2024 · 1 paper notes

📌 Same area in other venues: 📷 CVPR2026 (2) · 🔬 ICLR2026 (7) · 🧪 ICML2026 (2) · 🤖 AAAI2026 (2) · 🧠 NeurIPS2025 (6) · 📷 CVPR2025 (1)

Semi-supervised Video Desnowing Network via Temporal Decoupling Experts and Distribution-Driven Contrastive Regularization

This paper proposes SemiVDN, the first semi-supervised video desnowing framework. By incorporating a physics-prior-guided temporal decoupling expert module and distribution-driven contrastive regularization, SemiVDN utilizes unlabeled real-world snowy videos to narrow the synthetic-to-real domain gap, outperforming existing methods on both synthetic and real-world datasets.