A Unified Framework for Super-Resolution Based on Segmentation-Prior and Self-Attention

Convolutional Neural Network (CNN) is intensively applied to super-resolution (SR) task because of its superior performance. However, the problem of SR task is still challenging due to the lack of prior knowledge and small receptive field of CNN. We propose a unified framework for single image SR ba...

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Veröffentlicht in:	2022 IEEE 2nd International Conference on Data Science and Computer Application (ICDSCA) S. 80 - 84
Hauptverfasser:	Hu, Xinyi, Zhang, Yuxin, Yang, Dongxiao
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 28.10.2022
Schlagworte:	Computer applications Convolutional neural networks Data science GAN Generative adversarial networks Image segmentation Self-Attention Semantic Segmentation Super-Resolution Superresolution Task analysis
Online-Zugang:	Volltext
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