May 18, 2020 · Our method removes all BN layers in the MDN to improve the performance while saving training time and memory usage. The same MDNs are circularly ...
May 18, 2020 · To overcome the above limitations, we propose a recursive modified dense network. (RMDN), which can remove rain streaks while retaining details ...
Aug 25, 2024 · Recursive modified dense network for single-image deraining. May 2020; Journal of Electronic Imaging 29(03):1. DOI:10.1117/1.JEI.29.3.033006.
Apr 17, 2024 · Experiments show that the proposed network has an effective rain removal effect on both synthetic and real datasets and has fewer model ...
Jun 17, 2020 · In this work, we propose a novel recurrent attention dense network (RADN) for single image de-raining. In RADN, a region-level attention module ...
Missing: Recursive | Show results with:Recursive
Recursive modified dense network for single-image deraining · Visualization · Convolution · Video · Algorithm development · Gallium nitride · Computer vision ...
In this work, we propose a novel recurrent attention dense network (RADN) for single image de-raining. In RADN, a region-level attention module is first ...
Missing: Recursive | Show results with:Recursive
Aug 21, 2024 · The network called WRRDANet consists of a kernel prediction subnet and pixel-wise dilation filtering. In the kernel prediction subnet, we ...
Missing: Recursive | Show results with:Recursive
Jan 22, 2024 · We propose a novel framework, namely, Context-Detail-Aware United Network (CDaUNet), which combines the above two architectures in this study.
Single image deraining is typically addressed as residual learning to predict the rain layer from an input rainy im-.