Stanford Seminar - Open-world Segmentation and Tracking in 3D
Автор: Stanford Online
Загружено: 2024-10-28
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October 11, 2024
Laura Leal-Taixé, NVIDIA
In this talk, I will discuss how to train models for detection and segmentation of 3D data, e.g., Lidar, without having to actually annotate data in the 3D domain. I will discuss different uses of pseudo-labels and present a demo for our Segment Anything in Lidar.
About the speaker: https://dvl.in.tum.de/team/lealtaixe/
More about the course can be found here: https://stanfordasl.github.io/robotic...
View the entire AA289 Stanford Robotics and Autonomous Systems Seminar playlist: • Stanford AA289/ENGR319 - Robotics and Auto...
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