Papers › Recurrent Squeeze-and-Excitation Context Aggregation Net for Single Image Deraining
Recurrent Squeeze-and-Excitation Context Aggregation Net for Single Image Deraining
Xia Li, Jianlong Wu, Zhouchen Lin, Hong Liu, Hongbin Zha
Rain streaks can severely degrade the visibility, which causes many current computer vision algorithms fail to work. So it is necessary to remove the rain from images. We propose a novel deep network architecture based on deep convolutional and recurrent neural networks for single image deraining. As contextual information is very important for rain removal, we first adopt the dilated convolutional neural network to acquire large receptive field. To better fit the rain removal task, we also modify the network. In heavy rain, rain streaks have various directions and shapes, which can be regarded as the accumulation of multiple rain streak layers. We assign different alpha-values to various rain streak layers according to the intensity and transparency by incorporating the squeeze-and-excitation block. Since rain streak layers overlap with each other, it is not easy to remove the rain in one stage. So we further decompose the rain removal into multiple stages. Recurrent neural network is incorporated to preserve the useful information in previous stages and benefit the rain removal in later stages. We conduct extensive experiments on both synthetic and real-world datasets. Our proposed method outperforms the state-of-the-art approaches under all evaluation metrics. Codes and supplementary material are available at our project webpage: https://xialipku.github.io/RESCAN .
In Syntology Open this paper in Syntology's Atlas, the map of the papers in Syntology's graph and their citations.
Code
No code repository is listed for this paper in the archive or in Syntology's graph.
Code Syntology ran Syntology
Not run by Syntology. Nothing on this page verifies that the listed code works.
Tasks
Results from the paper archive 2025-07-28
| Task | Dataset | Model | Metric | Value | Rank at snapshot | Leaderboard | Report |
|---|---|---|---|---|---|---|---|
| Single Image Deraining | Rain100H | RESCAN | PSNR | 26.36 | #14 of 19 | Archive leaderboard | report |
| Single Image Deraining | Rain100H | RESCAN | SSIM | 0.786 | #14 of 19 | Archive leaderboard | report |
| Single Image Deraining | Rain100L | RESCAN | SSIM | 0.881 | #18 of 19 | Archive leaderboard | report |
| Single Image Deraining | Test100 | RESCAN | SSIM | 0.835 | #9 of 12 | Archive leaderboard | report |
| Single Image Deraining | Test1200 | RESCAN | SSIM | 0.882 | #13 of 14 | Archive leaderboard | report |
| Single Image Deraining | Test2800 | RESCAN | PSNR | 31.29 | #7 of 12 | Archive leaderboard | report |
| Single Image Deraining | Test2800 | RESCAN | SSIM | 0.904 | #7 of 12 | Archive leaderboard | report |
Ranks are positions in the archive's leaderboards as they stood at the 2025-07-28 snapshot. Results published since then are not among these rows, so a rank here is not a current standing.
Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections