Uneingeschränkter Zugang

Super-resolution Image Reconstruction Based on Double Regression Network Model


Zitieren

Lee S, Kim JH, Heo J P. Super-Resolution of License Plate Image via Character-Based Perceptual Loss[C]//2020 IEEE International Conference on Big Data and Smart Computing. IEEE, 2020:560–563. LeeS KimJH HeoJ P Super-Resolution of License Plate Image via Character-Based Perceptual Loss[C] 2020 IEEE International Conference on Big Data and Smart Computing IEEE 2020 560 563 Search in Google Scholar

Yong Guo, Yin Zheng, Mingkui Tan, Qi Chen, Jian Chen, Peilin Zhao, and Junzhou Huang. Nat: Neural architecture transformer for accurate and compact architectures. In Advances in Neural Information Processing Systems, pages735–747, 2019, 1. GuoYong ZhengYin TanMingkui ChenQi ChenJian ZhaoPeilin HuangJunzhou Nat: Neural architecture transformer for accurate and compact architectures In Advances in Neural Information Processing Systems 735 747 2019 1 Search in Google Scholar

Jiezhang Cao, Yong Guo, Qingyao Wu, Chunhua Shen, Jun-zhou Huang, and Mingkui Tan. Adversarial learning with local coordinate coding. In International Conference on Machine Learning, 2018, 2. CaoJiezhang GuoYong WuQingyao ShenChunhua HuangJun-zhou TanMingkui Adversarial learning with local coordinate coding In International Conference on Machine Learning 2018 2 Search in Google Scholar

Tai Y, Yang J, Liu X, et al. Memnet: A Persistent Memory Network for Image Restoration[C] //Proceedings of the IEEE international conference on computer vision. 2017: 4539–4547. TaiY YangJ LiuX Memnet: A Persistent Memory Network for Image Restoration[C] Proceedings of the IEEE international conference on computer vision 2017 4539 4547 Search in Google Scholar

Zhang Y, Tian Y, Kong Y, et al. Residual Dense Network for Image Super-Resolution[C]//Proceedings of the IEEE conference on computer vision and pattern recognition. 2018: 2472–2481. ZhangY TianY KongY Residual Dense Network for Image Super-Resolution[C] Proceedings of the IEEE conference on computer vision and pattern recognition 2018 2472 2481 Search in Google Scholar

Tao Dai, Jianrui Cai, Yongbing Zhang, Shu-Tao Xia, and Lei Zhang. Second-order attention network for single image super-resolution. In IEEE Conference on Computer Vision and Pattern Recognition, 2019,6. DaiTao CaiJianrui ZhangYongbing XiaShu-Tao ZhangLei Second-order attention network for single image super-resolution In IEEE Conference on Computer Vision and Pattern Recognition 2019 6 Search in Google Scholar

Zhen Li, Jinglei Yang, Zheng Liu, Xiaomin Yang, Gwang-gil Jeon, and Wei Wu. Feedback network for image super-resolution. In IEEE Conference on Computer Vision and Pattern Recognition, pages 3867–3876, 2019,2. LiZhen YangJinglei LiuZheng YangXiaomin JeonGwang-gil WuWei Feedback network for image super-resolution In IEEE Conference on Computer Vision and Pattern Recognition 3867 3876 2019 2 Search in Google Scholar

Lin Wang, Wonjune Cho, and Kuk-Jin Yoon. Deceiving image-to-image translation networks for autonomous driving with adversarial perturbations. arXiv preprintar Xiv: 2001.01506, 2020,2. WangLin ChoWonjune YoonKuk-Jin Deceiving image-to-image translation networks for autonomous driving with adversarial perturbations arXiv preprintar Xiv: 2001.01506 2020 2 Search in Google Scholar

Li Zhang, Alok Deshpande, and Xin Chen. Denoising vs.deblurring: Hdr imaging techniques using moving cameras. In 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pages 522–529. IEEE, 2010. ZhangLi DeshpandeAlok ChenXin Denoising vs.deblurring: Hdr imaging techniques using moving cameras In 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition 522 529 IEEE 2010 Search in Google Scholar

Timo Stoffregen and Lindsay Kleeman. Event cameras, contrast maximization and reward functions: an analysis. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pages 12300–12308, 2019, 2. StoffregenTimo KleemanLindsay Event cameras, contrast maximization and reward functions: an analysis In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition 12300 12308 2019 2. Search in Google Scholar

Christian Reinbacher, Gottfried Munda, and Thomas Pock. Real-time panoramic tracking for event cameras. In 2017IEEE International Conference on Computational Photography (ICCP), pages 1–9. IEEE, 2017, 1, 2. ReinbacherChristian MundaGottfried PockThomas Real-time panoramic tracking for event cameras In 2017IEEE International Conference on Computational Photography (ICCP) 1 9 IEEE 2017 1, 2. Search in Google Scholar

Richard Zhang, Phillip Isola, Alexei A Efros, Eli Shechtman, and Oliver Wang. The unreasonable effectiveness of deep features as a perceptual metric. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pages 586–595, 2018, 5. ZhangRichard IsolaPhillip EfrosAlexei A ShechtmanEli WangOliver The unreasonable effectiveness of deep features as a perceptual metric In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition 586 595 2018 5. Search in Google Scholar

eISSN:
2470-8038
Sprache:
Englisch
Zeitrahmen der Veröffentlichung:
4 Hefte pro Jahr
Fachgebiete der Zeitschrift:
Informatik, andere