A 49.5 mW Multi-Scale Linear Quantized Online Learning Processor for Real-Time Adaptive Object Detection

IEEE Transactions on Circuits and Systems II: Express Briefs(2022)

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摘要
Online training is essential to maintain a high object detection (OD) in various environments. However, additional computation workload, EMA, and high bit precision is the problem of conventional online learning scheme on mobile devices. Therefore, a low power real-time online learning OD processor is proposed with three key features. First, multi-scale linear quantization (MSLQ) and MSLQ-aware PE...
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关键词
Quantization (signal),Training,Degradation,Real-time systems,Object detection,Estimation,Adaptation models
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