Stanford Seminar - Open-world Segmentation and Tracking in 3D

The seminar discusses advancements in open-world segmentation and tracking in 3D for autonomous agents. It emphasizes understanding dynamic scenes, utilizing machine learning for perception and tracking, and proposes pseudo-labeling techniques to leverage existing data for training models. The goal is to enhance object detection and segmentation without extensive manual labeling.