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Stanford Seminar - Open-world Segmentation and Tracking in 3D
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Stanford AA289/ENGR319 - Robotics and Autonomous Systems Seminar - Stanford Seminar - Open-world Segmentation and Tracking in 3D

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This course includes

  • 100.5 hours of video
  • Certificate of completion
  • Access on mobile and TV

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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/robotics_seminar/ View the entire AA289 Stanford Robotics and Autonomous Systems Seminar playlist: https://www.youtube.com/playlist?list=PLoROMvodv4rMeercb-kvGLUrOq4HR6BZD ► Check out the entire catalog of courses and programs available through Stanford Online: https://online.stanford.edu/explore

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