Lignende værker

• Learning with Open-world Noisy Data via Class-independent Margin in Dual Representation Space
  af: Pan, Linchao, et al.
  Udgivet: (2025)
• Combating Label Noise With A General Surrogate Model For Sample Selection
  af: Liang, Chao, et al.
  Udgivet: (2023)
• Collaborative Hybrid Propagator for Temporal Misalignment in Audio-Visual Segmentation
  af: Li, Kexin, et al.
  Udgivet: (2024)
• Collaborative Group: Composed Image Retrieval via Consensus Learning from Noisy Annotations
  af: Zhang, Xu, et al.
  Udgivet: (2023)
• Variation-Bounded Loss for Noise-Tolerant Learning
  af: Wang, Jialiang, et al.
  Udgivet: (2025)