Trends in Computer Vision with Amir Zamir - #338
Analysis
This article summarizes a podcast episode from Practical AI featuring Amir Zamir, a Computer Science professor at the Swiss Federal Institute of Technology. The episode focuses on trends in Computer Vision, revisiting a conversation from 2018 when Zamir discussed his CVPR Best Paper. The discussion covers several key areas within Computer Vision, including Vision-for-Robotics, 3D Vision, and Self-Supervised Learning. The article highlights the ongoing evolution and expansion of the field, touching upon important sub-topics that are shaping the future of AI and robotics.
Key Takeaways
“In our conversation, we discuss quite a few topics, including Vision-for-Robotics, the expansion of the field of 3D Vision, Self-Supervised Learning for CV Tasks, and much more!”