A Low-Complexity Approach to Rate-Distortion Optimized Variable Bit-Rate Compression for Split DNN Computing
Author:
Affiliation:
1. Intel Labs,Bangalore,India
2. Intel Labs,Santa Clara,USA
3. Intel Labs,Hillsboro,USA
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9956007/9955631/09956232.pdf?arnumber=9956232
Reference26 articles.
1. BottleNet++: An End-to-End Approach for Feature Compression in Device-Edge Co-Inference Systems
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4. G-vae: A continuously variable rate deep image compression framework;cui,2020
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