Abstract | ||
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In this paper, we explore the role of Instance Normalization in low-level vision tasks. Specifically, we present a novel block: Half Instance Normalization Block (HIN Block), to boost the performance of image restoration networks. Based on HIN Block, we design a simple and powerful multi-stage network named HINet, which consists of two subnetworks. With the help of HIN Block, HINet surpasses the s... |
Year | DOI | Venue |
---|---|---|
2021 | 10.1109/CVPRW53098.2021.00027 | 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) |
Keywords | DocType | ISSN |
Visualization,Computer vision,Conferences,Transform coding,Image restoration,Pattern recognition,Task analysis | Conference | 2160-7508 |
ISBN | Citations | PageRank |
978-1-6654-4899-4 | 4 | 0.46 |
References | Authors | |
0 | 5 |
Name | Order | Citations | PageRank |
---|---|---|---|
Liangyu Chen | 1 | 5 | 1.49 |
Xin Lu | 2 | 5 | 1.15 |
Jie Zhang | 3 | 841 | 185.41 |
Xiaojie Chu | 4 | 4 | 1.14 |
Chengpeng Chen | 5 | 4 | 0.80 |