Real-Time Face Recognition: Training Fast and Accurate Models
summary
Addresses building fast, accurate face-recognition models for real-time use on resource-limited devices by combining large deep-learning face models with techniques for making them efficient. Covers methods for training compact, high-performing models suitable for mobile and embedded deployment (optimization, model compression/acceleration) to bridge accuracy and speed.
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chapters (9)
- 0:00Introduction
- 1:13Face recognition tasks
- 9:48Mobile applications
- 10:55AI mobile architectures
- 17:35Training on big data
- 21:55Memory usage solutions
- 23:20Knowledge distillation
- 25:05Summary
- 25:49Q&A
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