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Einleitung
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Classroom Contents
Keynote: Ross Girshick - Robustness Across the Data Abundance Spectrum
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- 1 Einleitung
- 2 Axes of Robustness
- 3 The Numbers You See in Papers
- 4 The Reality
- 5 Back to the Drawing Board
- 6 It All Starts with Naming Things
- 7 Naming is for Communication
- 8 Human Human Communication
- 9 Object Spotting Game car
- 10 Task: Detect Everything!
- 11 Problem 2: Data Efficient Learning
- 12 Problem 1: Benchmarking
- 13 Building LVIS
- 14 PASCAL VOC and COCO were "easy" to Build
- 15 Troubles with 1000's of Categories
- 16 Facing These Problems, What Can We Do?
- 17 Federated Dataset Design to the Rescue
- 18 Annotation Pipeline
- 19 LVIS Annotations Quality
- 20 Where does the vocabulary come from?
- 21 Data Driven Category Discovery
- 22 The Long Tail is Inescapable! 100
- 23 Results on LVIS v1 validation set
- 24 Best Practices - Know What's Noise
- 25 The LVIS Challenge at ECCV 2020!
