[DCC 2020] This is an implementation of DRASIC: Distributed Recurrent Autoencoder for Scalable Image Compression
- Slepian-Wolf Achievable Region
- Deep Scalable Distributed Source Coding
- Python 3
- PyTorch 1.0
- Rate-distortion curves for data sources distributed by random subsets with T = 16 for all sources.
- Rate-distortion curves for data sources distributed by class labels with T = 16 for all sources.
- Rate-distortion curves for data sources distributed by random subsets with T=16 for the first half of sources and
$T=8$ for the second half of sources.
- Rate-distortion curves for data sources distributed by class labels with T=16 for the first half of sources and
$T=8$ for the second half of sources.
Enmao Diao
Jie Ding
Vahid Tarokh