Attentive Feature Refinement Network for Single Rainy Image Restoration

IEEE Transactions on Image Processing - Tập 30 - Trang 3734-3747 - 2021
Guoqing Wang1,2, Changming Sun3,4, Arcot Sowmya4
1Center for Future Media, University of Electronic Science and Technology of China, Chengdu, China
2School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China
3CSIRO Data61, Epping, NSW, Australia
4School of Computer Science and Engineering, University of New South Wales, Sydney, NSW, Australia

Tóm tắt

Từ khóa


Tài liệu tham khảo

10.1109/ICME.2019.00239

simonyan, 2015, Very deep convolutional networks for large-scale image recognition, Proc Int Conf Learn Represent (ICLR)

justin, 2016, Perceptual losses for real-time style transfer and super-resolution, Proc Eur Conf Comput Vis (ECCV), 694

mao, 2016, Image restoration using convolutional auto-encoders with symmetric skip connections, Proc 30th Conf Neural Inf Process Syst (NIPS), 2810

ronneberger, 2015, U-Net: Convolutional networks for biomedical image segmentation, Proc Int Conf Med Image Comput -Assist Intervent (MICCAI), 234

kingma, 2017, Adam: A method for stochastic optimization, arXiv 1412 6980

10.1109/CVPR.2017.632

10.1109/ICCV.2013.84

10.1109/CVPR.2017.754

10.1109/CVPR.2019.00860

10.1109/CVPR.2019.00406

10.1145/3240508.3240694

10.1109/TIP.2017.2691802

li, 2018, Recurrent squeeze-and-excitation context aggregation net for single image deraining, Proc Eur Conf Comput Vis (ECCV), 254

10.1109/ICCV.2019.00574

10.1109/TIP.2020.3023773

10.1109/CVPR.2017.195

10.1007/s11263-011-0421-7

10.1109/ICCV.2013.247

10.1109/CVPR.2017.243

10.1109/ICCV.2015.388

10.1109/CVPR.2016.90

10.1109/CVPR.2016.299

10.1109/CVPR.2017.186

10.1109/CVPR.2018.00262

10.1109/CVPR.2018.00079

10.1109/CVPR.2017.183

10.1145/3240508.3240636

10.1109/TIP.2011.2179057

10.1109/CVPR.2018.00263

10.1109/CVPR.2019.00396

10.1109/CVPR.2004.1315077

10.1109/TPAMI.2015.2491937

10.1007/s11263-006-0028-6

ren, 2016, Single image dehazing via multi-scale convolutional neural networks, Proc Eur Conf Comput Vis (ECCV), 154

10.1007/s11263-014-0759-8

10.1109/CVPR.2019.00173

10.1109/CVPR.2018.00853