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yoshitomo-matsubara committed Nov 14, 2023
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Expand Up @@ -13,10 +13,10 @@ Then, intermediate, informative features are transmitted through a wireless comm
edge server that processes the bulk part of the computation (the second sequence of the model).


![R-D (rate-distortion), ExR-D, and Three-way tradeoffs](imgs/ilsvrc2012-overview.png)
![R-D (rate-distortion), ExR-D, and Three-way tradeoffs](https://raw.githubusercontent.com/yoshitomo-matsubara/sc2-benchmark/main/imgs/ilsvrc2012-overview.png)
ImageNet (ILSVRC 2012): R-D (rate-distortion), ExR-D, and three-way tradeoffs for input compression and supervised compression with ResNet-50 as a reference model

![Input compression vs. Supervised compression](imgs/input_vs_supervised_compression.png)
![Input compression vs. Supervised compression](https://raw.githubusercontent.com/yoshitomo-matsubara/sc2-benchmark/main/imgs/input_vs_supervised_compression.png)

Input compression is an approach to save transmitted data, but it leads to transmitting information irrelevant to
the supervised task.
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