Foundation Models for Segmentation

This session will explore how to adapt large-scale pre-trained models for pixel-level and region-based segmentation tasks, covering techniques for medical image segmentation, object detection, and semantic parsing while addressing challenges in model adaptation, annotation efficiency, and performance optimization for precise boundary detection and classification.