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To Compress, or Not to Compress: Characterizing Deep Learning Model Compression for Embedded Inference.
Qing Qin
Jie Ren
Jialong Yu
Ling Gao
Hai Wang
Jie Zheng
Yansong Feng
Jianbin Fang
Zheng Wang
Published in:
CoRR (2018)
Keyphrases
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deep learning
probabilistic model
object recognition
data sets
similarity measure
decision makers
data compression