CADet: Fully Self-Supervised Out-Of-Distribution Detection With Contrastive Learning

Ähnliche Einträge

• Expecting The Unexpected: Towards Broad Out-Of-Distribution Detection
  von: Guille-Escuret, Charles, et al.
  Veröffentlicht: (2023)
• A Study of Condition Numbers for First-Order Optimization
  von: Guille-Escuret, Charles, et al.
  Veröffentlicht: (2020)
• BootOOD: Self-Supervised Out-of-Distribution Detection via Synthetic Sample Exposure under Neural Collapse
  von: Wang, Yuanchao, et al.
  Veröffentlicht: (2025)
• Dynamically Scaled Temperature in Self-Supervised Contrastive Learning
  von: Manna, Siladittya, et al.
  Veröffentlicht: (2023)
• ProSub: Probabilistic Open-Set Semi-Supervised Learning with Subspace-Based Out-of-Distribution Detection
  von: Wallin, Erik, et al.
  Veröffentlicht: (2024)