ReservoirTTA: Prolonged Test-time Adaptation for Evolving and Recurring Domains

Documenti analoghi

• Distill-SODA: Distilling Self-Supervised Vision Transformer for Source-Free Open-Set Domain Adaptation in Computational Pathology
  di: Vray, Guillaume, et al.
  Pubblicazione: (2023)
• Un-Mixing Test-Time Normalization Statistics: Combatting Label Temporal Correlation
  di: Tomar, Devavrat, et al.
  Pubblicazione: (2024)
• Slide-Level Prompt Learning with Vision Language Models for Few-Shot Multiple Instance Learning in Histopathology
  di: Tomar, Devavrat, et al.
  Pubblicazione: (2025)
• ProtoTTA: Prototype-Guided Test-Time Adaptation
  di: Abootorabi, Mohammad Mahdi, et al.
  Pubblicazione: (2026)
• CrIBo: Self-Supervised Learning via Cross-Image Object-Level Bootstrapping
  di: Lebailly, Tim, et al.
  Pubblicazione: (2023)