A novel fast reconstruction method for single image super resolution task
X Chen, H Zhao - Neural Processing Letters, 2023 - Springer
The in-depth development of generative adversarial networks in the field of specific
application tasks, the single image super-resolution problem has been widely studied. We …
application tasks, the single image super-resolution problem has been widely studied. We …
Detecting absence of bone wall in jugular bulb by image transformation surrogate tasks
X Li, Y Zhou, H Yin, Z Wang, L Zhuo… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Anomaly detection in medical images is important in computer-aided diagnosis. It is a
challenging task due to limited anomaly data, sample imbalance, and local differences …
challenging task due to limited anomaly data, sample imbalance, and local differences …
基于线性注意力机制的单样本生成对抗网络研究
陈曦， 赵红东， 杨东旭， 徐柯南， 任星霖… - 计算机工程与 …, 2022 - joces.nudt.edu.cn
目前, 使用单样本训练生成对抗网络已经成为研究人员关注的重点. 但是, 网络模型不容易收敛,
生成的图像结构易崩塌, 训练速度慢等问题依旧亟待解决. 研究人员提出在生成对抗网络中使用 …
生成的图像结构易崩塌, 训练速度慢等问题依旧亟待解决. 研究人员提出在生成对抗网络中使用 …
Research of single sample generative adversarial networksbased on attention machanism using linear layers
X CHEN, H ZHAO, D YANG, K XU… - … Engineering & Science, 2022 - joces.nudt.edu.cn
At present, using single-sample training to generate adversarial networks has become the
focus of researchers. However, the problems that the model is not easy to converge, the …
focus of researchers. However, the problems that the model is not easy to converge, the …