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Classroom Contents
Consistency-Based Semi-Supervised Learning for Object Detection
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- 1 Intro
- 2 Outline of this presentation
- 3 Understanding the problem and terminologies: Object Detecto
- 4 Type of object detector quick review
- 5 Understanding the problem and terminologies: Motivation
- 6 A common approach in Semi-supervised learning
- 7 Consistency regularization
- 8 Loss function
- 9 Overall loss for Object Detector
- 10 Background Elimination
- 11 Experiments
- 12 Results: Consistency loss without unlabeled data
- 13 Limitations
- 14 Conclusion
