Towards Open-World Object-based Anomaly Detection via Self-Supervised Outlier Synthesis

Documenti analoghi

• Performance Evaluation of Segment Anything Model with Variational Prompting for Application to Non-Visible Spectrum Imagery
  di: Gaus, Yona Falinie A., et al.
  Pubblicazione: (2024)
• Dream-Box: Object-wise Outlier Generation for Out-of-Distribution Detection
  di: Isaac-Medina, Brian K. S., et al.
  Pubblicazione: (2025)
• FEVER-OOD: Free Energy Vulnerability Elimination for Robust Out-of-Distribution Detection
  di: Isaac-Medina, Brian K. S., et al.
  Pubblicazione: (2024)
• Dur360BEV: A Real-world 360-degree Single Camera Dataset and Benchmark for Bird-Eye View Mapping in Autonomous Driving
  di: E, Wenke, et al.
  Pubblicazione: (2025)
• DDS-NAS: Dynamic Data Selection within Neural Architecture Search via On-line Hard Example Mining applied to Image Classification
  di: Poyser, Matt, et al.
  Pubblicazione: (2025)