Asymmetric Information Distillation Network for Lightweight Super Resolution
Author:
Affiliation:
1. Qingdao Hi-image Technologies Co.,Ltd (Hisense Visual Technology Co.,Ltd.)
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9856930/9856648/09857047.pdf?arnumber=9857047
Reference32 articles.
1. Efficient image superresolution using pixel attention;zhao;European Conference on Computer Vision,2020
2. Residual Dense Network for Image Super-Resolution
3. Image super-resolution using very deep residual channel attention networks;zhang;Proceedings of the European Conference on Computer Vision (ECCV),2018
4. Efficient Channel Attention Feature Fusion for Lightweight Single Image Super Resolution
5. Learning lightweight super-resolution networks with weight pruning
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4. Efficient self-calibrated and hierarchical refinement network for lightweight super-resolution;Digital Signal Processing;2024-04
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