Overcoming the Identity Mapping Problem in Self-Supervised Hyperspectral Anomaly Detection

Documenti analoghi

• SHAZAM: Self-Supervised Change Monitoring for Hazard Detection and Mapping
  di: Garske, Samuel, et al.
  Pubblicazione: (2025)
• Unsupervised Hyperspectral Image Super-Resolution via Self-Supervised Modality Decoupling
  di: Du, Songcheng, et al.
  Pubblicazione: (2024)
• Self-Supervised Masked Mesh Learning for Unsupervised Anomaly Detection on 3D Cortical Surfaces
  di: Yang, Hao-Chun, et al.
  Pubblicazione: (2024)
• ERX: A Fast Real-Time Anomaly Detection Algorithm for Hyperspectral Line Scanning
  di: Garske, Samuel, et al.
  Pubblicazione: (2024)
• Degradation Alchemy: Self-Supervised Unknown-to-Known Transformation for Blind Hyperspectral Image Fusion
  di: Huang, He, et al.
  Pubblicazione: (2025)