Results 51 to 60 of about 5,457 (203)

Symbolic Music Genre Transfer with CycleGAN [PDF]

2018 IEEE 30th International Conference on Tools with Artificial Intelligence (ICTAI), 2018
Paper accepted at the 30th International Conference on Tools with Artificial Intelligence, ICTAI 2018, Volos ...
Gino Brunner, Yuyi Wang 0001, Roger Wattenhofer, Sumu Zhao   +3 more
openaire   +3 more sources

Application of CycleGAN and transfer learning techniques for automated detection of COVID-19 using X-ray images

, 2022
Coronavirus (which is also known as COVID-19) is severely impacting the wellness and lives of many across the globe. There are several methods currently to detect and monitor the progress of the disease such as radiological image from patients’ chests ...
Gururajan, Raj, Bargshady, Ghazal; id_orcid, Barua, Prabal Datta, Bargshady, Ghazal, Acharya, U. Rajendra, Li, Yuefeng, Zhou, Xujuan, Barua, PD, Zhou, X, Acharya, UR, Gururajan, R, Li, Y, Bargshady, G, Ghazal Bargshady, Yuefeng Li, U. Rajendra Acharya, Xujuan Zhou, Prabal Datta Barua, Raj Gururajan   +18 more
core   +1 more source

Low illumination image enhancement algorithm of CycleGAN coal mine based on attention mechanism and Dilated convolution

Meitan kexue jishu
The complex underground environment, filled with a large amount of dust and water vapor, and uneven illumination of artificial light source, leads to problems such as low illumination and loss of detail features in images collected by underground ...
Yuanbin WANG, Yaru GUO, Jia LIU, Xu WANG, Bingchao WU, Meng LIU   +5 more
doaj   +1 more source

Segmentation-Enhanced CycleGAN [PDF]

, 2019
Abstract Algorithmic reconstruction of neurons from volume electron microscopy data traditionally requires training machine learning models on dataset-specific ground truth annotations that are expensive and tedious to acquire. We enhanced the training procedure of an unsupervised image-to-image translation method with additional ...
Januszewski, Michał, Jain, Viren
openaire   +1 more source

xAI-CycleGAN, a Cycle-Consistent Generative Assistive Network [PDF]

, 2023
In the domain of unsupervised image-to-image transformation using generative transformative models, CycleGAN has become the architecture of choice. One of the primary downsides of this architecture is its relatively slow rate of convergence. In this work,
Sloboda, Tibor, Hudec, Lukáš, Benešová, Wanda   +2 more
core   +1 more source

DE-CycleGAN: An Object Enhancement Network for Weak Vehicle Detection in Satellite Images

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021
Vehicle detection is a very important application of remote sensing. However, suffering from the low acutance and insufficient color information, the detection of weak vehicles in satellite imagery still remains a challenge. Image enhancement can improve
Peng Gao, Tian Tian, Linfeng Li, Jiayi Ma, Jinwen Tian   +4 more
doaj   +1 more source

Atomic Defects in Layered Transition Metal Dichalcogenides for Sustainable Energy Storage and the Intelligent Trends in Data Analytics

Advanced Science, EarlyView.
This review comprehensively summarizes the atomic defects in TMDs for their applications in sustainable energy storage devices, along with the latest progress in ML methodologies for high‐throughput TEM data analysis, offering insights on how ML‐empowered microscopy facilitates bridging structure–property correlation and inspires knowledge for precise ...
Zheng Luo, Ying Yang, Zizhen Fu, Fengqi Liu, Susu Fang, Kele Xu, Shanshan Wang   +6 more
wiley   +1 more source

Advancing the Reliability of Future Hydrological Projections in a Snow‐Dominated Alpine Watershed: Integrating Uncertainty Decomposition and CycleGAN Bias Correction

Earth's Future
Given the sensitivity of snow to climate change and its critical role in the hydrological cycle of alpine regions, it is essential to reduce biases in meteorological forces for driving hydrological models.
Tao Su, Zhu Liu, Qingyun Duan, Xinwei Mao, Weidong Xu   +4 more
doaj   +1 more source

Enhanced Cycle Generative Adversarial Network for Generating Face Images of Untrained Races and Ages for Age Estimation

IEEE Access, 2021
The datasets used in recent age estimation studies largely consist of two races (i.e., Asians or Westerners), and despite the large amount of data available, the problems regarding age-class imbalances still arise, owing to different age distributions ...
Yu Hwan Kim, Se Hyun Nam, Kang Ryoung Park   +2 more
doaj   +1 more source

UHA‐CycleGAN: Unpaired hybrid attention network based on CycleGAN for terahertz image super‐resolution

IET Image Processing, 2023
Abstract In recent years, terahertz imaging technology has been widely used in security, medicine, and other fields. However, the image resolution is low due to the limits of imaging equipment and diffraction. Traditional super‐resolution methods based on machine learning use artificial paired image datasets, and their image ...
Huanyu Liu, Haipeng Guo, Xiaodong Liu
openaire   +2 more sources