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Efficient Action Recognition Using Confidence Distillation
Modern neural networks are powerful predictive models.
Ranked #67 on
Action Recognition
on UCF101
CacheNet: A Model Caching Framework for Deep Learning Inference on the Edge
Inference of uncompressed large scale DNN models can only run in the cloud with extra communication latency back and forth between cloud and end devices, while compressed DNN models achieve real-time inference on end devices at the price of lower predictive accuracy.
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