FFA-Net: Feature fusion attention network for single image dehazing
Proceedings of the AAAI conference on artificial intelligence, 2020•ojs.aaai.org
FFA-Net: Feature Fusion Attention Network for Single Image Dehazing Page 1 The Thirty-Fourth
AAAI Conference on Artificial Intelligence (AAAI-20) FFA-Net: Feature Fusion Attention Network
for Single Image Dehazing Xu Qin,1* Zhilin Wang,2∗ Yuanchao Bai,1 Xiaodong Xie,1† Huizhu
Jia1 1School of Electronics Engineering and Computer Science, Peking University 2School
of Computer Science and Engineering, Beihang University {qinxu, yuanchao.bai, donxie,
hzjia}@pku.edu.cn, 007wangzhilin@buaa.edu.cn Abstract In this paper, we propose an …
AAAI Conference on Artificial Intelligence (AAAI-20) FFA-Net: Feature Fusion Attention Network
for Single Image Dehazing Xu Qin,1* Zhilin Wang,2∗ Yuanchao Bai,1 Xiaodong Xie,1† Huizhu
Jia1 1School of Electronics Engineering and Computer Science, Peking University 2School
of Computer Science and Engineering, Beihang University {qinxu, yuanchao.bai, donxie,
hzjia}@pku.edu.cn, 007wangzhilin@buaa.edu.cn Abstract In this paper, we propose an …
Abstract
In this paper, we propose an end-to-end feature fusion at-tention network (FFA-Net) to directly restore the haze-free image. The FFA-Net architecture consists of three key components:
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