Lignende værker

• Drive&Segment: Unsupervised Semantic Segmentation of Urban Scenes via Cross-modal Distillation
  af: Vobecky, Antonin, et al.
  Udgivet: (2022)
• MOCA: Self-supervised Representation Learning by Predicting Masked Online Codebook Assignments
  af: Gidaris, Spyros, et al.
  Udgivet: (2023)
• OccFeat: Self-supervised Occupancy Feature Prediction for Pretraining BEV Segmentation Networks
  af: Sirko-Galouchenko, Sophia, et al.
  Udgivet: (2024)
• DIP: Unsupervised Dense In-Context Post-training of Visual Representations
  af: Sirko-Galouchenko, Sophia, et al.
  Udgivet: (2025)
• Test-time Contrastive Concepts for Open-world Semantic Segmentation with Vision-Language Models
  af: Wysoczańska, Monika, et al.
  Udgivet: (2024)