AdaptCLIP: Adapting CLIP for Universal Visual Anomaly Detection

Documenti analoghi

• MediCLIP: Adapting CLIP for Few-shot Medical Image Anomaly Detection
  di: Zhang, Ximiao, et al.
  Pubblicazione: (2024)
• CLIP-VG: Self-paced Curriculum Adapting of CLIP for Visual Grounding
  di: Xiao, Linhui, et al.
  Pubblicazione: (2023)
• AdaCLIP: Adapting CLIP with Hybrid Learnable Prompts for Zero-Shot Anomaly Detection
  di: Cao, Yunkang, et al.
  Pubblicazione: (2024)
• One Language-Free Foundation Model Is Enough for Universal Vision Anomaly Detection
  di: Gao, Bin-Bin, et al.
  Pubblicazione: (2026)
• AD-CLIP: Adapting Domains in Prompt Space Using CLIP
  di: Singha, Mainak, et al.
  Pubblicazione: (2023)