Results 11 to 20 of about 1,189,521 (278)
Towards Instance-level Image-to-Image Translation [PDF]
2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2019 Unpaired Image-to-image Translation is a new rising and challenging vision problem that aims to learn a mapping between unaligned image pairs in diverse domains.
Huang, Mingyang +4 more
core +2 more sources
Hypercomplex Image- to- Image Translation
2022 International Joint Conference on Neural Networks (IJCNN), 2022 Image-to-image translation (I2I) aims at transferring the content representation from an input domain to an output one, bouncing along different target domains. Recent I2I generative models, which gain outstanding results in this task, comprise a set of diverse deep networks each with tens of million parameters.
Eleonora Grassucci +3 more
openaire +3 more sources
Unsupervised Image-to-Image Translation: A Review. [PDF]
Sensors (Basel), 2022 Supervised image-to-image translation has been proven to generate realistic images with sharp details and to have good quantitative performance. Such methods are trained on a paired dataset, where an image from the source domain already has a corresponding translated image in the target domain.
Hoyez H +5 more
europepmc +4 more sources
Asia-Pacific Journal of Ophthalmology, 2020 The diagnosis and treatment of medical retinal disease is now inseparable from retinal imaging in all its multimodal incarnations. The purpose of this article is to present a selection of very different retinal imaging techniques that are truly translational, in the sense that they are not only new, but can guide us to new understandings of disease ...
Orellanos-Rios, Jorge +5 more
openaire +2 more sources
Realization Method of Digital Filter in Pathological Assistant Diagnosis System
Journal of Harbin University of Science and Technology, 2022 The pathology-assisted diagnosis system adopts the method of placing a filter on the slice to filter the light source and obtain the monochromatic parallel light, which is used to calculate the optical density parameter of the image to reflect the ...
WANG Zi-xuan, XIE Yi-ning, HE Yong-jun
doaj +1 more source
IEEE Access, 2023 Deep learning models in image synthesis have proven their applicability in various image translation areas. However, although the synthesized image may reflect the user’s intention, some of its properties may be different from those of real images.
Seonguk Park +3 more
doaj +1 more source
Evaluating GAN-Based Image Augmentation for Threat Detection in Large-Scale Xray Security Images
Applied Sciences, 2020 The inherent imbalance in the data distribution of X-ray security images is one of the most challenging aspects of computer vision algorithms applied in this domain.
Joanna Kazzandra Dumagpi, Yong-Jin Jeong
doaj +1 more source
Aerial Visible-to-Infrared Image Translation: Dataset, Evaluation, and Baseline
Journal of Remote Sensing, 2023 Aerial visible-to-infrared image translation aims to transfer aerial visible images to their corresponding infrared images, which can effectively generate the infrared images of specific targets.
Zonghao Han +4 more
doaj +1 more source
Applications of Generative Adversarial Networks in Medical Image Translation
Chinese Journal of Magnetic Resonance, 2022 In recent years, the generative adversarial network (GAN) has attracted widespread attention with its unique adversarial training mechanism. Its applications have gradually extended to the field of medical imaging, and much excellent research has emerged.
Xiao CHANG +3 more
doaj +1 more source
High-Speed Railway Intruding Object Image Generating with Generative Adversarial Networks
Sensors, 2019 Foreign object intrusion is a great threat to high-speed railway safety operations. Accurate foreign object intrusion detection is particularly important.
Baoqing Guo +4 more
doaj +1 more source