Knowledge Commons of Institute of Automation,CAS
Feature Aggregation Attention Network for Single Image Dehazing | |
Yan, Lan1,2; Zheng, Wenbo1,3; Gou, Chao4; Wang, Fei-Yue1 | |
2020-10-20 | |
会议名称 | International Conference on Image Processing(ICIP) |
会议日期 | 2020-10-20 |
会议地点 | United Arab Emirates |
摘要 | Due to its ill-posed nature, single image dehazing is a challenging problem. In this paper, we propose an end-to-end feature aggregation attention network (FAAN) for single image dehazing. It incorporates the idea of attention mechanism and residual learning and can adaptively aggregate different level features. In particular, in the proposed FANN, we design a novel block structure consisting of feature attention module, smoothed dilated convolution and local residual learning. The local residual learning allows the less useful information to be bypassed through multiple skip connections. The feature attention module is designed to assign more weight to important features. The smoothed dilated convolution is adopted to enlarge the receptive field without the negative influence of gridding artifacts. The experiments on the RESIDE dataset show that the proposed approach acquires state-of-the-art performance in both qualitative and quantitative measures. |
收录类别 | EI |
语种 | 英语 |
文献类型 | 会议论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/48879 |
专题 | 多模态人工智能系统全国重点实验室_平行智能技术与系统团队 |
作者单位 | 1.State Key Laboratory for Management and Control of Complex Systems, Institute of Automation, Chinese Academy of Sciences 2.University of Chinese Academy of Sciences 3.School of Software Engineering, Xi'an Jiaotong University 4.School of Intelligent Systems Engineering, Sun Yat-sen University |
第一作者单位 | 中国科学院自动化研究所 |
推荐引用方式 GB/T 7714 | Yan, Lan,Zheng, Wenbo,Gou, Chao,et al. Feature Aggregation Attention Network for Single Image Dehazing[C],2020. |
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文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
Feature Aggregation (199KB) | 会议论文 | 开放获取 | CC BY-NC-SA | 浏览 下载 |
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