Name
Title | ||
|---|---|---|
NL-CALIC Soft Decoding Using Strict Constrained Wide-Activated Recurrent Residual Network |
Abstract | ||
|---|---|---|
In this work, we propose a normalized Tanh activate strategy and a lightweight wide-activate recurrent structure to solve three key challenges of the soft-decoding of near-lossless codes: 1. How to add an effective strict constrained peak absolute error (PAE) boundary to the network; 2. An end-to-end solution that is suitable for different quantization steps (compression ratios). 3. Simple structure that favors the GPU and FPGA implementation. To this end, we propose a Wide-activated Recurrent structure with a normalized Tanh activate strategy for Soft-Decoding (WRSD). Experiments demonstrate the effectiveness of the proposed WRSD technique that WRSD outperforms better than the state-of-the-art soft decoders with less than 5% number of parameters, and every computation node of WRSD requires less than 64KB storage for the parameters which can be easily cached by most of the current consumer-level GPUs. Source code is available at
<uri xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">https://github.com/dota-109/WRSD</uri> |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1109/TIP.2021.3136608 | IEEE Transactions on Image Processing |
Keywords | DocType | Volume |
NL-CALIC,soft decoding,normalized Tanh activate strategy,lightweight wide-activated recurrent structure | Journal | 31 |
Issue | ISSN | Citations |
1 | 1057-7149 | 0 |
PageRank | References | Authors |
0.34 | 21 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yi Niu | 1 | 46 | 19.65 |
| Chang Liu | 2 | 159 | 52.61 |
| Mingming Ma | 3 | 0 | 0.34 |
| Fu Li | 4 | 51 | 8.07 |
| Zhiwen Chen | 5 | 0 | 0.34 |
| Guangming Shi | 6 | 2663 | 184.81 |