Rainmer: Learning Multi-view Representations for Comprehensive Image Deraining and Beyond
Abstract
References
Index Terms
- Rainmer: Learning Multi-view Representations for Comprehensive Image Deraining and Beyond
Recommendations
Joint Deep Multi-View Learning for Image Clustering
In this paper, a novel <bold>D</bold>eep <bold>M</bold>ulti-view <bold>J</bold>oint <bold>C</bold>lustering (<bold>DMJC</bold>) framework is proposed, where multiple deep embedded features, multi-view fusion mechanism, and clustering assignments can be ...
Multi-scale transformer with conditioned prompt for image deraining
AbstractRecently, vision Transformers have made significant advancements in image deraining due to their ability to model non-local information. However, most existing methods do not fully explore and utilize the multi-scale properties of rain streaks, ...
Cross-domain collaborative learning for single image deraining
Highlights- We propose a cross-domain collaborative learning framework for image deraining.
- A cross-domain pseudo label generation method is presented.
- A Multi-Scale Attention Residual Block for improving the representation ability.
- The ...
AbstractDeep Convolutional Neural Networks (DCNN) have achieved outstanding performance in image deraining tasks. However, current most methods regard rain streak removal as a one-to-one problem, and intra domain shift of different synthetic datasets is ...
Comments
Information & Contributors
Information
Published In

- General Chairs:
- Jianfei Cai,
- Mohan Kankanhalli,
- Balakrishnan Prabhakaran,
- Susanne Boll,
- Program Chairs:
- Ramanathan Subramanian,
- Liang Zheng,
- Vivek K. Singh,
- Pablo Cesar,
- Lexing Xie,
- Dong Xu
Sponsors
Publisher
Association for Computing Machinery
New York, NY, United States
Publication History
Check for updates
Author Tags
Qualifiers
- Research-article
Funding Sources
Conference
Acceptance Rates
Contributors
Other Metrics
Bibliometrics & Citations
Bibliometrics
Article Metrics
- 0Total Citations
- 131Total Downloads
- Downloads (Last 12 months)131
- Downloads (Last 6 weeks)73
Other Metrics
Citations
View Options
Login options
Check if you have access through your login credentials or your institution to get full access on this article.
Sign in