Label Efficient Visual Abstractions for Autonomous Driving

Label Efficient Visual Abstractions for Autonomous Driving

Andreas Geiger via YouTube Direct link

Identifying Relevant Classes

10 of 15

10 of 15

Identifying Relevant Classes

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Classroom Contents

Label Efficient Visual Abstractions for Autonomous Driving

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  1. 1 Introduction
  2. 2 Two dominating paradigms to selfdriving
  3. 3 Direct perception
  4. 4 Conditional forints learning
  5. 5 Intermediate representations
  6. 6 More Related Findings
  7. 7 What is a good visual abstraction
  8. 8 InputOutput
  9. 9 No Crash Benchmark
  10. 10 Identifying Relevant Classes
  11. 11 Results
  12. 12 Qualitative Results
  13. 13 Summary
  14. 14 Dataset Overview
  15. 15 Illustrations

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