DExTeR: Weakly Semi-Supervised Object Detection with Class and Instance Experts for Medical Imaging

Ähnliche Einträge

• Overcoming Dimensional Collapse in Self-supervised Contrastive Learning for Medical Image Segmentation
  von: Hassanpour, Jamshid, et al.
  Veröffentlicht: (2024)
• Learning from Synchronization: Self-Supervised Uncalibrated Multi-View Person Association in Challenging Scenes
  von: Chen, Keqi, et al.
  Veröffentlicht: (2025)
• fine-CLIP: Enhancing Zero-Shot Fine-Grained Surgical Action Recognition with Vision-Language Models
  von: Sharma, Saurav, et al.
  Veröffentlicht: (2025)
• UltraSam: A Foundation Model for Ultrasound using Large Open-Access Segmentation Datasets
  von: Meyer, Adrien, et al.
  Veröffentlicht: (2024)
• CycleSAM: Few-Shot Surgical Scene Segmentation with Cycle- and Scene-Consistent Feature Matching
  von: Murali, Aditya, et al.
  Veröffentlicht: (2024)