Omni Aggregation Networks for Lightweight Image Super-Resolution-Reference-Cited by-同舟云学术

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Omni Aggregation Networks for Lightweight Image Super-Resolution

Published:2023-06 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
language:
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Author:

Wang Hang¹,Chen Xuanhong²,Ni Bingbing²,Liu Yutian²,Liu Jinfan²

Affiliation:

1. Huawei

2. Shanghai Jiao Tong University,Shanghai,China,200240

Funder

National Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10203037/10203050/10203118.pdf?arnumber=10203118

Reference67 articles.

1. Image super-resolution using deep convolutional networks;dong;CoRR,2015

2. Lite Vision Transformer with Enhanced Self-Attention

3. Scaling up your kernels to 31x31: Revisiting large kernel design in cnns;ding;CVPR,2022

4. Early convolutions help transformers see better;xiao;NeurIPS,2021

5. Image super-resolution using knowledge distillation;gao;ACCV,2018

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